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Our Mission

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Applied Scientists will work on research teams to help turn research into reality.  If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!

Responsibilities

• Work collaboratively with research teams on tools that improve software development on robots. Examples include data processing, visualization, and physics simulators. 
• Develop high performance algorithms and improve systems 
• Create and support open source robotics software 
• Promote quality and reliability through regular code reviews

• 5+ years experience delivering robust code 
• BS or MS in computer science, robotics, physics, electrical/mechanical/aerospace engineering, or a related field 
• Experience with C++
• Experience with exteroceptive and proprioceptive sensors (IMU, Cameras, etc.)
• Experience with nonlinear Kalman Filters for sensor fusion and state estimation

• Experience with event-based cameras

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Our Mission

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Applied Scientists will work on research teams to help turn research into reality.  If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!

Responsibilities

• Develop and implement new algorithms on robots.
• Creatively apply state-of-the-art techniques from both in-house and laboratories around the world to solve real-world problems.
• Promote quality and reliability through regular code reviews

• BS, MS and PhD in computer science, robotics, electrical/mechanical/aerospace engineering, or a related field
• 2+ years of experience designing and developing software applications using C++ or Python in production environments
• Experience working with robots, machine learning, or other related applications

• Experience with planning algorithms (A*, RRT, PRM, etc)
• Experience with controller design (linear/nonlinear/optimal/robust/adaptive control, LQR, DDP, MPC, etc)
• Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc)
• Experience with dynamics modeling (linear, nonlinear, Euler-Lagrange, Newton-Euler, Featherstone, etc)
• Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc)
• Experience with task planning (TAMP, STRIPS, MDPs, etc)
• Experience with machine learning toolkits (PyTorch, TensorFlow, Scikit-learn, etc)
• Experience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)
• Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us create state-of-the-art models across a variety of domains!

Are you looking to solve hard problems and enjoy working with teammates with diverse perspectives? If so, we would love to help you excel here at Kensho. We are a collaborative group of experienced Research Scientists and Machine Learning Engineers, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup-like Kenshin community, which fosters continuous learning and a communicative environment.

Since early-2022, we have been building a world-class R&D lab comprised of ML/NLP Research Scientists. Our small team has demonstrated compelling results and is fueling innovation throughout Kensho and S&P Global at large. Specifically, we are continuously building a domain-specific Large Language Model (LLM) and are actively working on question-answering (QA), summarization, and document layout analysis.

We are looking to hire NLP Research Scientists with expertise in any of the following: question-answering, summarization, dialog system, reinforcement learning, and distributed systems. In particular, we are currently prioritizing question-answering and are addressing:

-Dialog-based QA that leverages APIs, program synthesis, and large knowledge-graphs/databases to help ensure accurate answers

-Long-form document QA, where the answer is expected to be contained within a user-specified collection of documents

-Math-based QA, where the answer requires automatically parsing tables for relevant information and then performing basic mathematical operations to yield the correct answer (e.g, FinQA, TAT-QA, ConvFinQA)

You will collaborate with our R&D team in conducting and publishing research in the top conferences.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 150k-225k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You'll Do:

• Collaborate with others to identify the most promising problems to pursue
• Develop novel, state-of-the-art NLP models that can scale to millions of documents
• Work closely with Research Scientists and ML Engineers
• Write clean, readable research code in PyTorch, TF, or JAX (not expected to write production-level code)
• Contribute to a stellar engineering culture that values excellent design, documentation, testing, and code
• Share your research results with your colleagues (presentations) and the world (published papers, patents, and blog posts)

• Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most of our successful candidates possess the following, which reflects both our technical needs and team culture:
• Hold a PhD in Computer Science or related field (or a Master’s with significant research experience)
• Have published in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML)
• Are proficient in writing code in PyTorch, Tensorflow, or JAX
• Have experience with the techniques required to work effectively with large, messy real-world data
• Prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently
• Have a love for learning new skills and domains
• Are excited to share knowledge freely, proactively, and effectively with others who are interested
• Are a generous teammate who takes work seriously without taking yourself too seriously

• ML: PyTorch, Weights & Biases, NetworkX
• Deployment: Airflow, Docker, EC2, Kubernetes, AWS
• Datastores: Postgres, Elasticsearch, S3

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics.

Through innovations in AI, we:

- Develop vehicles incapable of causing a crash, regardless of the actions of the driver.

- Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.

- Bring advanced mobility technology to market faster.

- Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.

Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies.

Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start up environment with resourceful people who enjoy solving global problems and the financial backing to successfully achieve our goals. If you’re passionate about working with inquisitive people to make cars safer, enable the older population to age in place, or design alternative fuel sources, TRI is the place for you. ‒ Start your impossible with us.

Our Human-Aware Interaction and Learning team is looking for Research Scientists with experience in a variety of areas including Reinforcement Learning, Human Behavioral Modeling, Shared Control, Computer Vision and Human-Machine Interaction. We are aiming to make progress on a key challenge to unlock the full potential of artificial intelligence in a human world: how do we make machines more safely and effectively interact with humans to augment their capabilities?

As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring innovative research in Machine Learning for human-centric applications. You will use large amounts of real-world and simulated sensory data to solve open problems, publish at top academic venues, and test your ideas in the real world (including our robots, innovative motion simulators and test vehicles of course!). You will help to transfer and ship our most successful algorithms and models towards real-world advanced assistance systems, touching millions of lives.

Responsibilities

• Conduct ambitious research in Human-Centric Artificial Intelligence that solves open problems of high practical value and validate it in real-world benchmarks and systems.
• Push the boundaries of knowledge and the state of the art in Human-Machine Interaction and Shared Control in robotics and driving contexts.
• Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners.
• Stay up to date on the state-of-the-art in Machine Learning ideas and software.
• Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community.
• Lead collaborations with our external research partners (e.g., MIT, Stanford, UMich) and mentor research interns.
• Create ambitious new technologies touching concepts such as Theory of Mind, Game Theory and Motion Prediction, Collaborative AI, and Human-Machine Teaming.

• Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, Chemistry). Ph.D. or deep expertise in one key area (Machine Learning, Robotics, Computer Vision, Human-Machine Interaction, Human Behavior Modeling) or related fields.
• Consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.).
• Proficient at scientific Python, Unix, and a common DL framework (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
• You can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution.
• You are passionate about developing and applying human-centric artificial intelligence for societal good.
• You are a reliable team-player.
• You like to think big and go deeper.
• You care about openness and delivering with integrity.

Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.

As an MLOps Engineer, you are a thoughtful, collaborative, and resourceful technologist who is passionate about designing effective tools, enabling ML engineers to build, test, and manage high quality production-ready models. You have a strong desire to work on an internal team and to provide value to your fellow engineers. You have experience developing and working with tools for model serving, model monitoring, model and data lineage, dataset versioning, ML experimentation, EDA or model optimization, and are excited to bring your unique skills to our interdisciplinary team. While you are detail-oriented, you excel at looking at a problem from a high level, gathering requirements from multiple stakeholders and pitching solutions.

Are you looking to make impactful, scalable contributions that streamline the way we build and ship software and models? If so, we would love to help you excel here at Kensho. We take pride in our tightly-knit, team-based community that provides our Kenshins with a collaborative, supportive environment.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 150k-225k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You'll Do:

• Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the modeling workflow — from annotating data to deploying and monitoring models — robust, auditable, and usable
• Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions
• Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into stable, demonstrable prototypes
• Provide resources and training for ML teams on best practices, enabling them to efficiently productionize their work to be leveraged by high-value products and services
• Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into existing infrastructure
• Establish scalable, efficient, and automated processes for ML model training and evaluation
• Develop processes and tools to help monitor ML models in production, detecting performance, model drift, and decay
• Promote industry best practices and strengthen the technical expertise of the team with your unique skill set
• Maintain a close relationship with Core Infrastructure to ensure solutions provide the right level of abstraction on top of our compute infrastructure

• At least 3 years of experience as a Machine Learning Engineer, ML Ops Engineer or alike
• Desire to build internally to improve developer efficiency and experience
• Familiarity with the process of prototyping, building, and deploying an ML model to production
• Experience managing resilient distributed systems with Kubernetes
• Experience with Data Engineering technologies
• Experience with continuous integration frameworks
• Proficiency in Python
• Experience with shell scripting (Bash, Sh) and package managers (pipenv, poetry, npm)

• Experience building and/or deploying cloud-native services, especially related to model serving and monitoring
• Open source projects showing innovation and initiative
• Has built both proprietary software as well as integrated third party software

• Git
• Ubuntu linux or similar
• Kubernetes
• Docker
• Airflow
• Prometheus
• Django
• Kafka
• Sentry
• Pytorch
• LightGBM
• Scikit-learn

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more. 

Kensho’s Applications group works on multiple products and develops the software that delivers Kensho’s AI capabilities to our customers.  Our teams are small, product-focused, and intent on shipping high-quality code that best leverages our efforts.  We’re collegial, humble, and inquisitive, and we delight in learning from teammates with backgrounds, skills, and interests different from our own.

As a Backend Engineer on the Enterprise Integrations team, you will develop the software behind our reliable, secure, and performant APIs.  You will collaborate with colleagues from Machine Learning, Product, and Infrastructure, as well as with other engineers within the company.  You have a demonstrated capacity for depth, but are comfortable working with a broad range of technologies.  You are a thoughtful, deliberate technologist and share your knowledge generously.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 130k-175k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You’ll Do:

• Design, develop, test, document, deploy, maintain, and improve software.
• Work with key stakeholders to develop system architectures, API specifications, implementation requirements, and complexity estimates.
• Test assumptions through instrumentation and prototyping.
• Manage individual project priorities, deadlines, and deliverables.
• Promote ongoing technical development through code reviews, knowledge sharing, and mentorship.

• At least three years of direct experience developing SaaS applications within a team.
• Thoughtful and efficient communication skills (both verbal and written).
• Experience developing SaaS application backends and APIs using a variety of tools.
• Experience turning abstract business requirements into concrete technical plans.
• Experience working across many stages of the software development lifecycle.
• Sound reasoning about the behavior and performance of loosely-coupled systems.
• Proficiency with algorithms (including time and space complexity analysis), data structures, software architecture, and system design.
• At least one domain of demonstrable technical depth.

• Django, Python 3, PostgreSQL
• Git, Jenkins, Docker, Kubernetes
• RabbitMQ, Celery, Kafka

• Experience working with geographically distributed teams.
• Experience working with ML models previously.

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics!

Our HASTEN (Helping Aging Society: Tactile Embodied Nudging) collaborative team brings together complementary research and engineering expertise in physical human-robot interaction, bubblized soft robotics, humanoid systems, software development, user-centered design, and occupational and physical therapy experts. Our team develops robotic technology, sensing, and algorithms for supporting older adults in their homes with activities of daily living that require large amounts of surface contact between people and robots in order for robots to provide supportive assistance, in the context of stability and mobility such as getting up from a chair and dressing. 

In these close proximity and directly hands-on physical contact human-robot interactions, safety is paramount! Therefore, the focus of this role will be to develop pHRI algorithms that are robust and provably biomechanically sound such that our end-users feel secure and comfortable when being supported and assisted by our robots. This role is on the RUXID (Robotics UX & Interaction Design) team, which comprises UX researchers and designers, as well as HRI researchers. The RUXID team collaborates closely with TRI's robotics engineering teams.

Responsibilities

• Research formal methods for safe hands-on, physical human-robot interactions derived from user needs of aging society.
• Develop provably ergonomically safe physical human-robot interactions derived from expert human-human demonstrations.
• Collect multi-modal data sets (motion capture and various tactile sensors) of expert demonstrations for controller development.
• Develop and deploy these algorithmic solutions in a physics-based simulation and on real hardware and conduct user studies with real people.
• Collaborate cross-functionally with user experience researchers and designers, roboticists, and software engineers.
• Follow software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.

• M.S. or Ph.D. (Robotics, Biomechanical / Biomedical Engineering, Computer Science, Human-Robot Interaction, or related engineering field) OR equivalent practical experience.
• Knowledge of key robotics areas such as trajectory optimization, sampling based planners, reactive planning and control, compliant motion control, modeling soft-contact, and coordinated whole-body control.
• Experience in applying machine learning to real robots, including areas such as reinforcement, imitation, and sim2real transfer.
• Experience with robotic applications that involve humans in the loop, including human intent estimation and testing out proof of concepts with users.
• Experience with and understanding of multi-modal sensing including visual perception (e.g., cameras, lidar) and force/contact sensors (e.g., force-torque sensors, pressure/tactile sensing).
• Strong software engineering skills, preferably in C++ and Python, and experience deploying onto physical robotic systems, including strong analysis and debugging skills.
• Experience with robotic system integration in the context of complex, open-ended, cross-functional projects.
• Experience with deployment of high DoF (degrees of freedom) robots in the real world (i.e., home settings) for extended periods and debugging/servicing as needed.
• Desire to iterate on concepts to include end-user or Subject Matter Expert feedback and prove out concepts in user studies.
• A great teammate with strong communication skills, and a willingness to learn from others and contribute back to the robotics community with publications and open source code.
• Passion for seeing robotics help humans and desire to have a real-world, large-scale impact.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more

Kensho’s Applications group works on multiple products and develops the software that delivers Kensho’s AI capabilities to our customers.  Our teams are small, product-focused, and intent on shipping high-quality code that best leverages our efforts.  We’re collegial, humble, and inquisitive, and we delight in learning from teammates with backgrounds, skills, and interests different from our own.

As a Senior Backend Engineer on the Enterprise Integrations team, you will develop the software behind our reliable, secure, and performant APIs while integrating with existing SaaS applications.  There are a few product pipelines within the Enterprise Integrations team, one of which is an LLM-backed project that you will be a part of.  You will collaborate with colleagues from Machine Learning, Product, and Infrastructure, as well as with other engineers within the company.  You have a demonstrated capacity for depth, but are comfortable working with a broad range of technologies.  You are a thoughtful, deliberate technologist and share your knowledge generously. 

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 150k-225k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You’ll Do:

• Design, develop, test, document, deploy, maintain, and improve software.
• Collaborate with machine learning engineers to execute on LLM-backed applications.
• Manage individual project priorities, deadlines, and deliverables.
• Work with key stakeholders to develop system architectures, API specifications, implementation requirements, and complexity estimates.
• Test assumptions through instrumentation and prototyping.
• Promote ongoing technical development through code reviews, knowledge sharing, and mentorship.

• At least five years of direct experience developing SaaS applications within a team.
• Thoughtful and efficient communication skills (both verbal and written).
• Experience developing SaaS application backends and APIs using a variety of tools.
• Experience collaborating with ML engineers (MLEs) to develop software and tooling.
• Experience turning abstract business requirements into concrete technical plans.
• Experience working across many stages of the software development lifecycle.
• Sound reasoning about the behavior and performance of loosely-coupled systems.
• Proficiency with algorithms (including time and space complexity analysis), data structures, software architecture, and system design.
• At least one domain of demonstrable technical depth.

• Django, Python 3, PostgreSQL
• Git, Jenkins, Docker, Kubernetes
• RabbitMQ, Kafka, Celery
• Open Source Models (SOTA and task-specific)

• Experience working with geographically distributed teams.
• Experience collaborating on natural language processing (NLP) tools.
• Experience working with large language models (LLMs). 

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Biobot’s Chemistry R&D team is responsible for developing and advancing novel assays, platforms, processes, and research to enable exclusive data insights to our public health customers. We are looking for a Research Scientist to develop and grow a novel high resolution mass spectrometry (HRMS) platform on the Chemistry R&D team at Biobot Analytics. This scientist will be responsible for imagining, planning, executing and validating our HRMS platform for use in discovery and commercial applications and supporting additional research topics as they apply. The ideal candidate will be an expert in HRMS method development and data interpretation who thrives in an independent and fast-paced environment.

Essential Duties and Responsibilities (What you will be doing):

• Solve analytical problems
• Develop novel LC-HRMS methods for an array of endpoints, from free-form discovery to robust routine quantitative analysis
• Evaluate and implement computational mass spectrometry and data warehousing tools for the identification and quantification of small molecules by HRMS
• Collaborate with data science team to establish trends and correlations in discovery datasets to position opportunities for future product offerings
• Design, optimize, execute, and support sample preparation protocols
• Evolve research plans and execute experiments within reasonable timelines
• Maintain compound database(s) within instrument software or third party toolkits
• Document summary of research, data, and results in an ELN
• Support data interpretation across research, data science, product, and marketing
• Perform basic maintenance tasks on instrumentation such as preparing fresh mobile phases, discarding hazardous chemical waste, monitoring gas levels, and replacing parts
• Coordinate with instrument, equipment, and supply vendors to troubleshoot problems and schedule maintenance
• Work safely in a BSL2 laboratory environment and serve as a leader to others in this regard
• Maintain a clean and organized workspace
• Collaborate with internal teams on cross-functional projects and work
• Communicate analyses/results to internal audiences, external customers, the WWBE community, and academic collaborators

• PhD or Master’s + 4 years research or industry work experience or Bachelor’s + 8 years  research or industry work experience
• At least 4 years of experience independently operating and developing trace detection  applications and instrumentation (HRMS, LC-MS/MS, etc.) in a bioanalysis environment
• Expert in quantitative HPLC-MS/MS and with isotope dilution quantitation
• Well-versed in multiple forms of chemistry sample preparative techniques (filtration, SPE, protein precipitation, etc)
• Ability to communicate complex technical topics to both scientific and non-scientific audiences
• A collaborative and get-stuff-done attitude

• Familiarity with ThermoFisher Scientific instruments/TraceFinder software
• Coding in Python or R
• Experience mentoring junior scientists
• Technologically savvy; experience with Google Suite, data manipulation/analysis software, Slack, Smartsheets, ELNs, and LIMS
• Experience with advanced separation and analysis techniques (nano-flow, microflow, HILIC, SFC, SEC, MISER, turbulent flow chromatography, parallel-column regen, etc.)
• Experience with advanced sample preparation techniques (antigen capture, SLE, modern SPE, SFE, etc.)

• Must be able to commute and work onsite in the lab four days a week
• Required standing or sitting for several hours straight at a time.
• Must be able to talk, listen and speak clearly on telephone and video conferencing for several hours each day

Our Benefits

HEALTH

Free medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.

SELF CARE

Unlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.

BIOBABIES

12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.

SAVINGS

3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.

WORKSPACE

$500 home office stipend for remote employees; free parking + commuter benefits and free meals for lab employees. Onsite or at home, we ensure our employees' workspace is set up for success.

About Biobot

At Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.

Our mission is to transform wastewater infrastructure into public health observatories. 

Named as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.

Battling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.

Please note that we are unable to sponsor work visas at this time.

www.biobot.io

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.

As an infrastructure engineer at Kensho you will be responsible for building systems and frameworks that will be used by teams across the organization. You will be working on a team with experienced engineers and have an opportunity to learn and grow. As an engineer on the infrastructure team you have the opportunity to work on the core platform that hosts all our assets to build monitoring & alerting that identify the health of such services.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 150k-225k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You'll Do:

• Design core, backend software components that powers the Kensho language models and other products.
• Build tools to empower the engineering teams.
• Code using primarily python, jsonnet, and other languages.
• Collaborate with other teams to gather requirements and support their workflows.
• Conduct architecture, design and code reviews.
• Analyze and improve efficiency, scalability, and stability of various system resources.

• 5-year of relevant work experience in software development.
• Professional coding experience in Python, C++, Rust, or Go.
• Experience architecting and developing large scale distributed systems.
• Experience in concurrency, multithreading and synchronization.
• Familiarity with the Unix/Linux environments.

• Kubernetes, Grafana, Prometheus, Kafka, PostgresQL
• Ubuntu linux or similar operating systems

• Your github account showing practical, entrepreneurial initiative.
• You have experience building distributed systems or have collaborated on a team developing internal tools.
• You have experience building systems processing large amounts of data. 
• You have experience productionizing large machine learning models (LLMs).
• You have experience in MLOPs.

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Our Mission

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Research Scientists will have proven hands-on research experience with a focus in one or more of these key areas: Cognitive AI, Athletic AI, Organic Hardware Design or Robot Ethics.  If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!  

Responsibilities

• Research focused on advancing robotic systems by developing exciting new ideas and providing solutions to complex problems
• Collaborate on publications to be submitted at worldwide conferences
• Apply yours and others’ research to real world problems
• System Design using model based and data driven techniques
• Creatively apply modern learning algorithms to real-world problems
• Use your strong development skills to develop algorithms and improve systems
• Working with fellow researchers and engineers to develop prototypes

• BS, MS or PhD in a robotics-relevant field
• 5+ years of experience in research and development
• Good grasp of a broad set of techniques related to state and world estimation, active control of dynamic systems and planning/cognitive challenges of these types of systems
• Strong development skills with at least one programming language
• Experience with systems that have complex physical interaction (locomotion & grasping)

• Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, etc.)

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Our Mission

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Foundation Model Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Cognitive AI, Foundation Models, Large Language Models, and Distributed Training.  If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!

Responsibilities

• Develop deep learning-based approaches to improve and advance large language models (LLMs) and large multi-modal models.
• Design and implement machine learning techniques to adapt foundation models to downstream tasks of interest such as robotic manipulation and high-level task planning.
• Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications.
• Work closely with our research teams to build state-of-the-art robotics demonstrations of your research.

• MS or PhD in a foundation-model-relevant field
• 7+ years of experience in research and development
• Knowledge of large language models, foundation models, model parallelism, or distributed training techniques.
• Excellent programming skills in some rapid prototyping environments such as Python or C++
• Expertise with deep learning frameworks such as PyTorch.
• 1 or more publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)

• Experience with Docker, Kubernetes, cloud computing, or similar applications
• Experience with data processing, logging, and visualization tools
• Experience with MLOps (model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning)
• Experience creating orchestration workflows with tools such as Airflow, Kubeflow, or AWS Step Functions
• Experience with DevOps tools (e.g. CI/CD Pipelines, Infrastructure as Code, containers, Agile software development)
• Experience implementing IoT solutions such as edge computing
• Experience with big data batch and real time data processing (e.g. Hadoop, Spark , Presto, Kafka, Kinesis, Flink)
• Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)
• Experience with parallel programming (e.g. CUDA)

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Kensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest, most successful businesses and institutions. Our various products help customers gain insight into their messy data using natural language processing, speech processing, and document processing. 

Our Document Intelligence team is a group of outstanding ML practitioners aiming to extract, structure, and understand the information contained in unstructured documents. We are continuously expanding our portfolio and are looking for passionate researcher-engineers like you to help us build and deploy state-of-the-art models!

Our primary product is a suite of SOTA ML solutions leveraging linguistic, visual, and spatial features to solve a wide range of complex problems, including: information extraction from document text and tables, document layout analysis, optical character recognition, and more. These solutions power our customers’ data operations (including S&P Global’s), and serve as the foundation for Kensho’s NLP products, such as NERD and Classify.

The Document Intelligence team works closely with the Data, Product, Backend & Frontend teams, and has the full support of our ML ops and Infrastructure teams.

We are seeking a Senior Applied Scientist to help accelerate and improve our model development cycle, continually raising standards of prototyping, building, and maintaining SOTA ML solutions.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 175k - 250k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You’ll Do

• Design, build, and maintain scalable production-ready ML systems for document processing tasks
• Collaborate closely with other ML engineers to build ML pipelines for data processing, training, inference, and evaluation
• Actively participate in the ML model lifecycle, from problem framing, through experimentation, to deployment and monitoring in production
• Work with unique proprietary datasets of millions of unstructured documents
• Work closely with Product, ML Ops, and engineering to deliver ML-based solutions customers rely on
• Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!

• An expert in document understanding, document intelligence, information retrieval, OCR, or a related domain
• 3+ years of significant, hands-on experience with ML/NLP/CV (e.g., designing, shipping, and maintaining production systems)
• Comfortable with modern tools for building ML pipelines, including data processing, training, inference, maintenance, evaluation, versioning, and experimentation
• Expertise in Python and PyTorch-based ML frameworksDemonstrate effective coding, documentation, collaboration, and communication habits[Nice-to-have]
• Published in top-tier journals & conferences in document understanding, information retrieval, OCR, or a related domain

• ML: PyTorch (+/- lightning), DGL, HuggingFace, XGboost, Weights & Biases, DVC
• Models: graph neural nets, multimodal transformer models (e.g. LayoutLM), object-detection image models (e.g. Detectron)
• Deployment: Airflow, Docker, AWS

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.

As a security-focused software engineer at Kensho, you are a thoughtful, collaborative, and seasoned technologist who will be working closely with the Infrastructure team to ensure security across a number of systems and web applications. You will help us protect network boundaries, keep systems and network devices against attacks and provide security frameworks and processes to protect confidential data like passwords and client information.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 130k-175k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You'll Do:

• Design and implement security controls and processes across Kensho and provide monitoring to ensure compliance.
• Analyze and recommend security practices and tools for engineering teams to incorporate into the software development lifecycle.
• Execute security architecture reviews for e2e application frameworks.
• Implement security frameworks to ensure Kensho maintains a security envelope aligned with S&P Global standards.
• Implement procedures to respond to and recover from security incidents.
• Perform static and dynamic vulnerability assessments and incorporate tools in the SDLC using commercial and open source tools.
• Manage Web Application Firewall (WAF) operation and tuning.
• Monitor Cloud Security Posture (CSP) tools and work with Infrastructure teams to achieve compliance.
• Support network security tools such as firewalls and DNS filtering.
• Support SIEM integration for the security stack.
• Manage Container security tool operation and tuning.
• Develop compliance as code processes to ensure continuous compliance.

• Three or more years of experience as a security engineer.
• Experience securing modern web applications and distributed data infrastructure in a cross-team setting.
• Strong understanding of cryptography and current best practices.
• Experience with penetration testing tools, techniques and methodologies and understanding of common vulnerabilities and remediation strategies.
• One or more years experience writing code in Python, Javascript, Java, or Go.
• Familiarity with core networking concepts and standard protocols such as TCP, UDP, and HTTP. 
• Prior experience working with enterprise security technologies such as firewalls, IDS/IPS, AntiVirus/EDR, or Security Information and Event Management systems. 
• Ability to apply risk management tools and methodologies.
• Experience conducting or facilitating IT security audits. 
• Familiarity with security models for cloud providers such as AWS, Azure and GCP.

• Python, Linux, Docker, Kubernetes, Git, Jenkins, Terraform, Jsonnet, Kafka, ElasticSearch

• Experience securing services and applications running on Kubernetes
• Experience working with Jenkins, Terraform, LinkerD, Vault, or Okta
• Participation in CTFs or bug bounty programs
• Open source project contributions showing innovation and initiative
• Experience operating within a regulated financial institution or other regulatory environment
• Relevant research, publications, and patents

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.

Kensho is seeking a Senior Machine Learning Engineer to join our NLP Team, a product and research organization applying and extending the state of the art of text and document-based AI across a variety of domains. The ideal candidate has deep industry or research experience and is a recognized expert in one or more core NLP fields and/or exciting recent developments, for example:

- Named entity recognition (NER) and Linking

- Extreme multiclass text classification

- Open-domain question answering

- Long-form summarization

- Parameter-efficient fine-tuning 

- Large language model deployment

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 175k - 250k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

What You’ll Do:

• Build and deploy NLP model architectures at scale using a modern software stack
• Help solve novel problems at the bleeding-edge of recent advances in NLPWork in a “fail-fast” culture that values scrappiness to prove out value and test out exciting new approaches
• Design and implement resilient systems for complex machine learning pipelines
• Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code
• Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!

• Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you.
• That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:
• You hold a degree in Computer Science, Applied Math, or a similar field. You have experience designing, and implementing ML systems and integrating them into existing application architectures. You have a successful track record training and deploying large ML models that can serve millions of daily requests. You have a deep understanding of what makes for well engineered software systems and understand that even superlative ML coupled with poor code will not go far. You prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently. You have a love for learning new skills and domains and share your knowledge freely, proactively, and effectively with others who are interestedYou are a generous and fun teammate and can take your work seriously without taking yourself too seriously.

• ML: PyTorch, Hugging Face, Weights & Biases
• Deployment: Airflow, Docker, AWS, Kubernetes
• Datastores: Postgres, Elasticsearch, S3

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance 

-       100% company paid premiums

-       Unlimited Paid Time Off

-       26 weeks of 100% paid Parental Leave (paternity and maternity)

-       401(k) plan with 6% employer matching

-       Generous company matching on donations to non-profit charities

-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

-       Plentiful snacks, drinks, and regularly catered lunches

-       Dog-friendly office (CAM office)

-       In-office gyms and showers (CAM, DC)

-       Bike sharing program memberships

-       Compassion leave and elder care leave

-       Mentoring and additional learning opportunities

-       Opportunity to expand professional network and participate in conferences and events 

About Kensho

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.