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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.

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 develops the web apps and APIs that deliver 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 Lead Frontend Engineer on the Emerging Applications team, you will develop two kinds of products: reliable, secure, and performant web apps that apply Kensho’s AI capabilities to specific customer workflows and lean, thoughtfully-scoped proofs-of-concept that help refine our product roadmap.  You will collaborate with colleagues from Design, Product, Machine Learning, and Infrastructure, as well as with other engineers within Applications.  You have a demonstrated capacity for depth, and are comfortable working with a broad range of technologies.  Your verbal and written communication is proactive, efficient, and inclusive of your geographically-distributed colleagues.  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
• 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 web applications within a team
• Thoughtful and efficient communication skills (both verbal and written)
• Experience developing web applications 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, and software architecture
• At least one domain of demonstrable technical depth

• TypeScript, React, Node.js
• Git, Jsonnet, Jenkins, Docker, Kubernetes

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 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.

We're currently on the lookout for an experienced Machine Learning Engineer who can apply innovative AI solutions to address business challenges in the Market Research and Retail industry.

The company is a global leader in consumer marketing insights. They leverage decades of global experience and category expertise, a unique behavioral framework, cutting-edge AI technology, and a digital-first strategy to help brands maximize the potential of their marketing efforts, particularly at the point of transaction.

The ideal candidate should have a deep understanding of Artificial Intelligence and the ability to design, develop and deploy AI solutions that address business problems in the Market Research and Retail space.

They must have a core and demonstrable competency in using Python for Computer Vision and NLP with an understanding of Hypothesis Testing and ML model explainability. Familiarity with MLOps concepts and best practices is a must.

Responsibilities:

• Develop, validate, fine-tune, diagnose and audit new and existing Machine Learning models and pipelines.
• Conduct experiments and analyses to evaluate hypotheses using the scientific method.
• Develop scalable and efficient workflows and solutions for production environments.
• Perform model inference in timely response to ad-hoc requests.
• Develop and maintain data pipelines and infrastructure to support AI solutions.
• Create and maintain thorough technical documentation of the entire ML Lifecycle

• Bachelor’s degree in Computer Science, Mathematics, Statistics or a related field.
• At least 5 years of experience using Statistics and Machine Learning to accomplish quantifiable goals.
• Expertise in Machine and Statistical Learning techniques with an emphasis on Transfer and Reinforcement Learning.
• Strong knowledge of Deep Learning frameworks and tools.
• Command of Big Data tools and techniques.
• Demonstrable knowledge of Python code development, refactoring and automation within shell environments.
• Competence in Containerization and ML Pipeline orchestration.
• Competence in using SQL for data transformation and retrieval.
• Familiarity developing ML with Fast AI.
• Excellent communication and interpersonal skills.
• Able to thrive in a collaborative and fast-paced environment with minimal supervision.
• Knowledge of Digital Transformation concepts and workflows within Cloud ML environments like Vertex AI, SageMaker and Azure AI.
• Familiarity with H2o’s Driverless AI and Steam not required, is a plus.

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
• Weights & Biases
• DVC

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 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.

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.

OXMAN

OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design.

At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it.

We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments.

This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond the mere maintenance toward the advancement of Nature.

Summary

OXMAN is seeking a Machine Learning Engineer to join an all-star interdisciplinary team of deep thinkers and brilliant makers. In this position, they will contribute to database management, data analysis, machine learning architecture, modeling, and validation efforts in our organization. The primary focus is to design, optimize, and deploy machine learning pipelines using large multimodal datasets (i.e., tabular data, images, structured/unstructured text, time series, audio, biological sequences, etc.), containing heterogeneous and complex information related to biology, design, and sustainability. Experience with the design of traditional machine learning techniques and neural networks, along with a strong understanding of deep learning and the ability to build ML architectures for real-world use is desired. Successful applicants embody stellar technical skills, hold the capacity to navigate and resolve uncertainty, and demonstrate a unique “language” of biology (wetware) / computing (software) / fabricating (hardware), or a combination thereof. They have produced and can present a prolific corpus of research; exemplify a passion for systems-based thinking with a wide range of potential applications for their work; personify an appreciation for engineering, science, and art; and seek synergy between biology and technology in research, practice, and direct industrial utility.

The Machine Learning Engineer will play a key role in researching and developing novel algorithms, models, and methods for solving unique challenges of prediction/inference, knowledge search, and reinforcement learning within a variety of biological and bio-inspired systems—from single-celled organisms to whole ecologies and even biotic-abiotic hybrid systems, where autonomous robots may interact with biological organisms.

Core responsibilities

• Lead efforts to aggregate and maintain selected multimodal datasets
• Apply techniques from artificial intelligence and machine learning to develop, implement, and evaluate state-of-the-art algorithms for applications related to biology, sustainability, and environmental data
• Develop machine learning models and detailed documentation to assess system performance
• Develop scalable rules-based systems, classifiers, regressors, knowledge graphs, reinforcement learning systems, and other machine learning pipelines to support physical and digital projects within our organization
• Conduct functional analysis, design trade studies, requirements allocation, and interface definition to translate team and client requirements into hardware and software specifications
• Actively seek opportunities to publish work in top-tier journals and other platforms for diffusing scientific knowledge
• Nurture and augment the scientific vision of OXMAN, upholding core design principles and ensuring the highest and most innovative quality of work
• Actively partner with a multidisciplinary team of professionals, including other biologists, engineers, and designers, across scientific and design pursuits
• Communicate ideas, work, and progress clearly, including by engaging in team meetings, presentations, and other creative communication outlets

• PhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant field
• Minimum 4 years of experience with machine learning
• Portfolio demonstrating out-of-the-box thinking and stellar taste in design
• Fluency with programming (e.g., MATLAB, Python, Java, C++)
• Ability to thrive in a fast-paced entrepreneurial environment
• Excellent independence, self-motivation, organizational skills, and attention to detail
• An interest in design, biology, architecture, artificial intelligence, and/or sustainability is a plus
• Strong commitment to the team; maintains positive working relationships with diverse people, including internal team and external partners
• Embodies ethics and integrity in all work, respecting both company and broader community policies in all conduct

OXMAN does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other legally protected characteristics.

NYC Pay Range: $83,000-$225,000

Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, experience, and other business and organizational needs.