Top Remote Usa Jobs

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Senior Data Scientist (Experimentation), you’ll be directly embedded in data science, operations, product, and engineering teams to quantify the effectiveness of process changes across Veho.  You’ll partner with product managers to understand high-value business problems, build systems that inform experimental design, and work with cutting-edge technology. 

Responsibilities Include:

• You’ll serve as the key contact for defining and designing test strategies across numerous business decision verticals
• Educate users on the role testing and insights can play to accelerate insights and reduce the risk
• Build reliable and efficient, experimentation tools to speed up design and analysis
• Create robust data pipelines to feed downstream analyses
• Ensuring data quality and data integrity through best practices in data integration
• Analyze and evaluate the impact of changes production systems

• Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science
• Familiarity with statistical modeling or machine learning techniques to solve business problems
• Strong SQL and Python skills
• Proficient in A/B, multivariate testing in a multi-channel setting
• Experience dealing with network effects via switchbacks or synthetic controls
• At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
• At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Staff Machine Learning Engineer, you’ll be directly embedded in a team of talented data scientists and software engineers to help define, deploy, and monitor sophisticated models that answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with data scientists and software engineers to operationalize our models through cutting-edge machine learning at Veho.

Responsibilities Include:

• Understanding business context and gathering requirements
• Proactively identify the most impactful opportunities to shape product roadmaps
• Building reliable, efficient, and scalable models for our AI/ML capabilities
• Creating robust data pipelines to feed analyses and models
• Ensuring data quality and data integrity through best practices in data integration
• Analyze and evaluate the impact and effectiveness of models in production systems

• Bachelor’s Degree plus 5 years of experience in machine learning, or Master’s Degree plus 3 years in data science or data engineering
• At least 3 experience with developing and optimizing MLOps pipelines for speed, reliability and monitoring
• Experience using statistical modeling or machine learning techniques to solve business problems
• Strong SQL and Python skills
• At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
• At least 3 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
• At least 3 year of experience working with cloud-based data engineering and data science tools. 

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.

You will:

• Understanding business context and gathering requirements
• Build and iterate on models to meet requirements using Python
• Create data pipelines to feed analysis and productionized models
• Integrate models into production systems using MLOps best practices
• Analyze impact and effectiveness of models in production systems

• Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science or data engineering
• Experience using statistical modeling or machine learning techniques to solve business problems
• Strong SQL and Python skills
• At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
• At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
• At least 1 year of experience working with cloud-based data engineering and data science tools
• Experience working with large-scale geo track and trace data sets (preferred)
• Familiarity with the gig economy space (preferred)
• Experience managing and deploying real-time models in production (preferred)

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Product Data Scientist, you’ll be directly embedded in a team of data scientists, engineers, and machine learning engineers to help scope, quantify, and investigate modeling-based solutions with our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build insights that inform daily operations, and work with cutting-edge technology. 

Responsibilities Include:

• Understanding business context and gathering requirements
• Build reliable, efficient, resources to monitor our AI/ML capabilities
• Present and educate to stakeholders and leadership models impacts, changes and analytical insights
• Create robust data pipelines to feed analyses
• Ensure data quality and data integrity through best practices in data integration
• Analyze and evaluate the impact and effectiveness of model changes in production systems via experiments

• Bachelor’s Degree plus 2 years of experience in data science or data engineering, or Master’s Degree plus 1 years in data science
• Experience using statistical modeling or machine learning techniques to solve business problems
• Strong SQL, Python and dashboarding skills
• Experience building ETA models or levering geo track and trace data to generate insights
• Experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
• Experience with analytical relational databases like Redshift, BigQuery, or Snowflake
• Experience with vehicle routing problems or logistics is nice to have but not required

Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.  

Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or any other protected class. 

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our client and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology. 

Responsibilities Include:

• Understanding business context and gathering requirements
• Proactively identify the most impactful opportunities to shape product roadmaps whithin the consumer and client space
• Building reliable, efficient, and scalable models for our AI/ML capabilities
• Creating robust data and automation pipelines to effectively generate insights and trends
• Ensuring data quality and data integrity through best practices in data integration
• Analyze and evaluate the impact and effectiveness of models in production systems
• Help design consumer or client experiments to quantify the value of unique Veho services

• Bachelor’s Degree plus 3 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science
• Experience using statistical modeling or machine learning techniques to solve business problems
• Strong SQL and Python skills
• Experience building consumer or client facing sales tools that leverage analytics/machine learning
• Experience designing and running experiments
• At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
• At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
• At least 2 years of experience working with cloud-based data engineering and data science tools. 

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time. 

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.

Team Description:

Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. 

About the Projects: 

NLP and Computer Vision research is increasingly interrelated, with common computational approaches and the increasing availability of text + image/video benchmarks. Likewise, multi-modal domains such as social media and news stories are of increasing interest for applications such as disinformation detection, attribution, and characterization. In addition to this, projects at Kitware require understanding written instructions, including natural language rules.

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.

In This Position You Will:

• Bring your technical expertise and project management skills to lead small teams of researchers and engineers on advanced R&D projects funded by government and commercial customers.
• Collaborate with external, well-known academic and industry researchers in Natural Language Processing, ML, AI, and computer vision.
• Lead proposals for new funding from government R&D organizations and/or commercial companies.
• Develop and evaluate algorithms to understand the textual content of textual and multi-modal data, and/or perform reasoning on extracted data.
• Enjoy support and encouragement for participation in national and international NLP, machine learning, AI, and/or computer vision conferences.

• PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a Master's degree with 8 years experience.
• Strong publication history in NLP (ACL, EMNLP, NAACL) conferences, or other AI venues incorporating NLP (AAAI, ICML, ICLR, NeurIPS). Candidates should include a detailed list of publications as part of their resume/CV.
• Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment.
• Experience leading federal and/or commercial business development activities and winning R&D funding.
• Experience developing and nurturing project teams, building an environment of collaboration.
• Excellent project management skills with demonstrable efforts leading and delivering complex research projects on time, within budget, and with a high level of customer satisfaction.
• Experience in supervising and reviewing research and software developed by others.
• Experience designing and implementing complex software systems.
• Due to contractual restrictions, only US Citizens will be considered for this position
• If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance

• Experience with natural language text generation using one or more of GPT-2, BERT, or Grover.
• Past work applying NLP to textual instructions and/or rules.

Company Description:

Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.  

Additional Information:

Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 

For more information on our benefit offerings please visit: https://www.kitware.com/careers/.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 

To be in compliance with the requirements for federal government contractors, all Kitware new hires must be fully vaccinated against COVID-19 prior to their start date. Kitware will consider exceptions for religious and medical reasons, where appropriate. “Fully vaccinated” means you must have both doses of a 2-dose vaccine and two weeks have elapsed since the second dose, or have received 1 dose of a 1-dose vaccine and two weeks have elapsed since the dose. Proof of your vaccination status in the form of a copy of a CDC vaccine card, or notice of approval of a religious or medical exemption by Kitware human resources, must be submitted prior to your start date.

Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.

If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process.  

Kinoo is an ed-tech startup developing a completely novel, AI-enabled, hands-on technology to tackle the global literacy crisis, helping young children develop essential reading skills while nurturing a lifelong passion for reading and learning - without screens. We are committed to empowering families and driving a quantum leap in literacy and education around the world. We are seeking an experienced Machine Learning Pipeline Engineer to join the Kinoo engineering team to help develop, optimize, and maintain our training pipelines and synthetic data generation processes.

This role might be for you if:

You are an experienced Machine Learning Engineer who thrives in a fast paced start up environment. You have a strong background in Python, experience with machine learning frameworks, and an interest in learning new technologies such as Unity and embedded devices. This is a full time 6 month contract, with the potential to convert to full-time permanent employment.

Responsibilities:

• Design, implement, and optimize cv machine learning models and pipeline
• Collaborate with the team to advance our synthetic training data generators using Unity
• Create tools that help us analyze the results of our training in order to point us toward new augmentations or training methods we can use to improve out models
• Assist in integrating machine learning models into embedded devices for inference
• Communicate with various departments/teams to gather requirements, create documentation, and execute tasks based on project priorities

• Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, or similar)
• BS in Computer Science, Computer Engineering, Data Science, or related field
• 3+ years experience as an ML/CV engineer
• Experience in developing and optimizing machine learning pipelines
• Strong understanding of algorithms, data structures, and software design principles
• Familiarity with version control systems (Git, SVN)
• Familiarity with cloud computing infrastructure (AWS)
• Willingness to learn and work with Unity for synthetic data generation
• Interest in embedded devices and running inference in firmware

• Understanding of classification algorithms, CNNs, and related ML techniques
• Knowledge of mathematical, statistical & programmatic details within CV
• Familiarity in text extraction, object detection, and semantic segmentation
• Experience with Unity or other game engines for synthetic data generation
• Understanding of embedded systems and firmware development
• Experience working in a fast-paced, startup environment

A bit about our R.I.S.E. culture at Kinoo:

The R.I.S.E. acronym captures the essence of our company's culture and serves as a guiding framework for our team's actions and decisions. By embracing these values, we strive to create a thriving and dynamic work environment where every team member can contribute their best and grow both personally and professionally, while also empowering families and making a lasting difference in the world of education and literacy.

Resilience (R):Our team is characterized by its resilience, adaptability, and determination. We embrace challenges head-on, learn from setbacks, and bounce back with creative solutions and a positive outlook. Our resilience fuels our drive to achieve excellence and deliver groundbreaking products that will impact the lives of millions of young learners.

Innovation (I):Innovation is at the heart of our culture. We encourage our team members to think creatively, explore new ideas, and push the boundaries of what's possible. We are committed to staying at the forefront of our industry, constantly seeking innovative ways to solve problems and improve the experiences of our users.

Support (S):We believe that a supportive work environment is crucial for our team's success and well-being. We prioritize open communication, mutual respect, gratitude, and genuine care for one another. Our team members collaborate, share knowledge, and lift each other up, creating a strong foundation for achieving our goals together.

Empowerment (E):Empowerment is central to our culture. We trust and invest in our team members, providing them with the tools, resources, and autonomy they need to excel in their roles. We recognize and celebrate individual strengths, fostering a sense of ownership and accountability that drives us to deliver exceptional results. Beyond our team, we are committed to empowering families by offering products and services that support their role in nurturing their children's education, well-being, and development.

Location: Kinoo is a virtual, distributed team with close, continuous connection and support.  While we prefer candidates in the same time zone (west coast), we are much more interested in your skills and talents than where you work. You need to be able to work at home and join our full team (1-2 times per year) for in-person planning, activities, work and fun.

Kinoo is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.