Senior Research Scientist in Computer Vision and Machine Learning

Be a Force for Good with Axon.At Axon, our mission is to Protect Life. We tackle some of society's most pressing safety and justice challenges through our innovative devices and comprehensive cloud software. Our collaborative culture thrives on open communication and diverse perspectives from our customers and communities, as well as from each other.Working …

Be a Catalyst for Change at Axon.At Axon, we're committed to safeguarding lives and enhancing public safety through innovative technology. Our dedicated team explores the pressing challenges of safety and justice, harnessing the power of our devices and cloud software to create effective solutions. We thrive in an environment where collaboration and diverse perspectives lead to groundbreaking developments.Working at Axon means embracing a fast-paced and meaningful career where your contributions truly matter. Take charge of your work, drive significant change, and grow alongside a mission that makes a difference.Your Role in Advancing TechnologyWe are looking for exceptional and forward-thinking Machine Learning Scientists to join our AI team. This position focuses on cutting-edge applications in Large Language Models (LLM) and Computer Vision, applicable to our Cloud, Devices, and Robotics sectors. As a vital contributor to our research and development, you will help propel advancements in LLMs, Multimodal Language Models (MLLMs), Computer Vision, and Generative AI technologies tailored for law enforcement and other sectors. Collaborate with diverse teams to design, develop, and implement innovative models and algorithms that facilitate intelligent reasoning, perception, and understanding of multimodal data.

Join our innovative team at Comtech LLC as a Senior Research Scientist / Data Scientist. In this pivotal role, you will leverage your expertise in data analytics and research methodologies to drive impactful insights and solutions. Collaborate with multidisciplinary teams to enhance our projects and contribute to groundbreaking advancements in technology.

Join Our Innovative Team at LiveView TechnologiesAt LiveView Technologies (LVT), we are transforming how businesses navigate the physical world by going beyond conventional security solutions. Our AI-driven actionable intelligence empowers organizations to create smarter, safer, and more secure environments. As pioneers of mobile, solar-powered units, we have established ourselves as a leader in intelligent site technology. We are dedicated to innovation, continuously developing next-generation solutions that provide our customers with exceptional visibility and control over safety, compliance, and operations. Join us in shaping the future of technology!Our team thrives on growth and innovation, and we take pride in the recognition our products and leadership receive.A Recognized Growth Leader: Featured in the Financial Times’ Fastest Growing Companies 2025 and ranked #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.Innovative Leadership: Our CEO, Ryan Porter, was honored as an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.Product Excellence: We have been recognized as one of The Software Report’s Top 100 Software Companies of 2023 and are proud winners of the Security Today Govies Award for 2025.About This PositionAs a Senior Machine Learning Engineer at LVT, you will be pivotal in driving the development of Computer Vision (CV), Large Language Models (LLM), Vision Language Models (VLM), and Agentic AI technologies. Your expertise will be essential in designing and implementing machine learning systems focused on security and monitoring applications. Collaborating with department leads, you will assess which challenges are suitable for machine learning solutions and help select the most effective models to meet our business objectives. Your insights will significantly influence design decisions that enhance our company’s value. This is an exceptional opportunity to make a profound impact on the success of our business through machine learning and software engineering initiatives.

Machine Learning Postdoctoral Researcher in LLMs & Generative AIAt Truveta, we are pioneering the world's first health provider-led data platform with the noble vision of saving lives through data. Our mission is to expedite research for cures, empower clinicians with expert insights, and facilitate informed care decisions for families. To achieve this ambitious vision, we are building a talented and inspired team that combines expertise in healthcare, software, and big data, united by our company values.While our headquarters are in the greater Seattle area, we embrace a culture of remote work. Participation in the Postdoctoral Research program requires physical presence in the United States for its duration. #LI-remoteWho We Are Looking ForWe are in search of an exceptionally motivated Machine Learning Postdoctoral Researcher to join our AI research team, contributing to groundbreaking projects in Large Language Modeling (LLM) and clinical data analysis. Ideal candidates will be problem solvers, enthusiastic collaborators, and individuals willing to engage hands-on to make an impactful difference. If you are eager to pursue meaningful work alongside a mission-driven team and build a fulfilling career while enjoying the journey, Truveta could be your ideal match.Program OverviewOur Postdoctoral Research program is tailored for candidates who have completed their PhD within the last two years and have been engaged in their field as a researcher, educator, or industry scientist since graduation. Candidates should demonstrate independence in defining their research strategy within a domain while also applying innovative solutions to our products. The program duration ranges from a minimum of 3 months to a maximum of 12 months, with possibilities for extension based on organizational needs and personal aspirations.

Join our innovative team at Comtech LLC as a Senior Research Scientist / Data Scientist. In this pivotal role, you will leverage your expertise in data analysis and scientific research to drive impactful solutions and insights. Collaborate with cross-functional teams to develop and implement advanced data-driven methodologies that support our strategic objectives.

Truveta seeks a Postdoctoral Researcher in Machine Learning to advance healthcare AI innovation. This position contributes to the company’s goal of saving lives through data-driven research, focusing on projects that combine artificial intelligence with healthcare challenges. The role is based in Seattle, WA, with flexibility for remote work. However, all postdoctoral researchers must live in the United States for the entire duration of the program. What you will work on Advance research at the intersection of healthcare and artificial intelligence Support Truveta’s mission to use data for improving patient outcomes and accelerating medical research About Truveta Truveta operates a health data platform that accelerates medical research and supports clinicians and families in making informed healthcare decisions. The platform provides access to a large collection of de-identified electronic health records, representing over 120 million patients, more than a third of the U.S. population. Researchers, clinicians, and life sciences organizations use this resource to drive clinical breakthroughs. Team culture The team includes experts from healthcare, software, and big data backgrounds. Truveta values diversity and encourages candidates who align with its core values to apply. Location requirement While remote work is supported, postdoctoral researchers must maintain residency within the United States for the full appointment period.

Anduril Industries is at the forefront of defense technology, dedicated to revolutionizing military capabilities for the U.S. and its allies through innovative solutions. By leveraging the expertise and advanced technology characteristic of the 21st century's leading companies, Anduril is reshaping the approach to military system design, construction, and sales. Central to Anduril's operations is Lattice OS, an AI-driven operating system that transforms extensive data streams into an interactive, 3D command and control hub. In a world increasingly defined by strategic competition, Anduril is dedicated to delivering state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking technologies to military applications in a matter of months, not years.About the RoleWe are on the lookout for a Computer Vision Engineer to join our Perception team at Anduril Industries. In this role, you will contribute to the development of advanced perception systems for autonomous drones and unmanned maritime vehicles used in defense. Our team is proficient in machine learning and real-time processing; however, we seek a classical computer vision specialist to enhance our camera integration processes, calibration workflows, and establish best practices in the industry.You will work collaboratively with several teams, assisting ML engineers, system architects, and integration specialists to ensure our perception systems receive high-quality, well-calibrated sensor data from a variety of camera types.

Join Oumi as a Research ScientistAbout Oumi: Oumi is committed to democratizing frontier AI, believing that collective and open development is essential for its safe and efficient advancement. Our mission is to provide the safest, highest quality, and most adaptable AI technologies to empower individuals and organizations, ultimately benefiting humanity as a whole.Our Solutions: Oumi offers a comprehensive platform for building advanced AI models, facilitating every stage from data preparation to model training and deployment. We collaborate with academic partners and the broader community to enhance open foundation models.Our Values: At Oumi, our foundation is built on open-source principles and collaboration. Our endeavors are:Research-driven: Conducting and sharing original AI research in partnership with global academic institutions.Community-focused: Encouraging contributions from researchers and developers worldwide.Accessibility-oriented: Designing our platform to lower barriers for organizations of all sizes to engage with AI.Position SummaryAs a Research Scientist at Oumi, you will play a crucial role in our research team, focusing on the advancement of Large Language Models (LLMs), Vision Language Models (VLMs), and associated technologies. Your work will involve pioneering research, engaging in open-source projects, and collaborating with fellow researchers and engineers on various dimensions of LLM/VLM development including training, evaluation, data curation, and benchmark formulation.Key Responsibilities:Model Development: Engage in research to develop and assess innovative LLMs, VLMs, and other AI models, exploring novel architectures and training methodologies.Data Curation: Create strategies for assembling high-quality datasets for LLM training and evaluation, employing techniques such as data synthesis.

Join Our Team as a Senior Machine Learning EngineerAbout AZXAt AZX, we are on a mission to drive positive change in key industries through innovative AI solutions. We focus on physics-informed machine learning and enterprise AI applications that tackle pressing climate and sustainability issues.Rapidly expanding, we collaborate with leading organizations in various sectors including real estate (CBRE), energy (LevelTen Energy), logistics (Flexe), and utilities (Puget Sound Energy).Established in 2024 as a public benefit corporation, AZX has been profitable since inception, fueled by our consulting endeavors.Our work encompasses challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We are committed to fostering a workplace that inspires those passionate about AI and making a meaningful impact.About the RoleWe are looking for an experienced Machine Learning Software Engineer to enhance our client deliverables and develop our platform. As one of our initial full-time ML engineers, your contributions will significantly shape our initiatives.You'll be joining a team of seasoned professionals from the climate and AI sectors, with expertise from Microsoft, AI2, ARM, and significant utility companies, including PhDs and published ML researchers.Initially, this role will focus 70% on client delivery and 30% on platform development, transitioning to a balanced 50/50 split within the first year.Your journey will involve both enterprise-style projects and rapid innovation cycles, with increasing investment in our platform to enhance client value.Your ResponsibilitiesTransform complex client challenges into executable code.Lead projects from initial discovery to final deployment.Collaborate effectively with both client and internal project teams.Develop clean and scalable code to meet varying quality standards.Design, integrate, and productionize ML solutions, including predictive models and GenAI systems.Work with domain experts in energy, real estate, and climate to convert business requirements into ML solutions.

Senior Applied Research Scientist – Oncology Join Truveta, the pioneering health provider-led data platform with a mission to Save Lives with Data. We aim to accelerate research for cures, empower clinicians with expertise, and assist families in making informed healthcare choices. Achieving our ambitious goals requires a diverse team of talented individuals who possess a unique blend of healthcare, software, and big data experience, all aligned with our core values. Founded in the Pacific Northwest, Truveta has a flexible hybrid model allowing employees to work from various locations across the country. However, in-person attendance is mandatory for two weeks each year during our Truveta Planning Week. To optimize overall team productivity, we schedule meetings primarily in the Pacific Time zone, avoiding recurring meetings post 3 PM PT, with ad hoc meetings occurring from 8 AM to 6 PM PT. #LI-remote Who We Are Looking For At Truveta, we are rapidly building a dynamic and diverse team to address complex health and technical challenges. We are seeking problem solvers who are collaborative, passionate, and ready to make a difference. If you are looking for a meaningful opportunity to contribute to a mission-driven team and develop a fulfilling career while enjoying the process, Truveta might be your ideal match. This Opportunity We are in search of a motivated and innovative Applied Research Scientist with a focus on oncology to join our internal research organization, Truveta Research. This team is dedicated to showcasing the potential of Truveta through the production of high-quality, trusted research. As an Applied Research Scientist, you will engage in close collaboration with a wide range of partners across communications, marketing, engineering, and product disciplines.

At Lyft, we are dedicated to fostering connections and serving our community. Our mission is realized by creating an inclusive workplace where every team member has the chance to excel. With over 500 million rides completed, Lyft is tackling complex challenges on a grand scale, utilizing Artificial Intelligence (AI) and Machine Learning (ML) to enhance our customer service. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in developing AI Platform components that support essential AI applications across Lyft. This position requires expertise in Generative AI and platform development. In this role, you will help build a platform that facilitates real-time, online, and offline execution, development, and iteration of AI and ML models. Collaborating with a team of driven Machine Learning and Software Engineers, you will tackle challenging issues and create solutions that have a direct impact on our systems company-wide. If you are enthusiastic about constructing an AI Platform at scale, with applications that span every aspect of our organization, we want to hear from you. We are seeking individuals who are innovative and analytical thinkers, experienced in AI and machine learning systems, and passionate about leveraging data to address business challenges in a dynamic, creative, and collaborative environment.

Join Axon and Make a Difference.At Axon, we are dedicated to our mission of Protecting Life. As pioneers in addressing critical safety and justice issues, we leverage our innovative ecosystem of devices and cloud software to create impactful solutions. Our collaborative culture thrives on open communication and diverse perspectives, enabling us to serve our customers and communities effectively.Working at Axon is dynamic, challenging, and rewarding. Here, you will have the opportunity to take charge and enact real change, all while contributing to a mission that truly matters.Your InfluenceWe are on the lookout for a talented and forward-thinking Senior AI Research Scientist to join our new team focused on video and multimodal search and retrieval-augmented generation (RAG). In this pivotal role, you will help develop AI solutions that significantly impact both enterprise and public safety sectors, aligning with our mission to accelerate justice, uphold truth, and save lives. You will push the boundaries of machine learning and multimodal technologies, applying your research to craft new, responsible AI capabilities for Axon products. Collaborating with product managers, engineers, and cross-functional teams, you will train models and develop state-of-the-art algorithms that promote intelligent understanding of visual and multimodal data.At Axon, we aspire to achieve great things. If this role and our mission resonate with you, we encourage you to apply, even if your experience doesn't perfectly match all qualifications. You may be the ideal candidate for this or other positions.

Join Hive, a pioneering force in cloud-based AI solutions, as a Senior Machine Learning Engineer. In this role, you will be instrumental in advancing our mission by designing, prototyping, and deploying cutting-edge neural network models. You will work with large-scale datasets, embrace innovative technologies across the machine learning spectrum, and take pride in delivering high-quality, scalable data pipelines. We seek individuals who are passionate about the latest advancements in deep learning and thrive in a fast-paced environment where ownership and creativity are valued.

The Allen Institute is hiring a Research Scientist in Robotics to join the Ai2 Robotics Team in Seattle, WA. This position requires working from the Seattle office, with specific on-site expectations depending on team and project needs. For questions about work arrangements, candidates should speak directly with a recruiter. Role overview This role centers on fundamental research in robotics, with a focus on foundation models. The work involves developing open methodologies, datasets, benchmarks, and models. Research Scientists here design and run practical experiments using both large-scale simulation tools and real-world robots. Responsibilities include leading research projects, mentoring interns and pre-doctoral researchers, writing scientific papers, and collaborating with peers from other institutions such as universities. The team values ambitious research and aims for significant breakthroughs rather than incremental progress. Key focus areas Robot manipulation Large-scale training in simulated environments Sim-to-real transfer Foundation models Skill learning The team regularly publishes in leading conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (NeurIPS, ICLR, ICML). Compensation Base salary ranges from $167,030 to $260,570. The total compensation package also includes generous bonus plans. About the team Led by Dieter Fox, the Robotics group at Ai2 focuses on scalable simulation domains to analyze the scaling and generalization of foundation models for robotics. The team is committed to open-source research and aims to advance the development of broadly capable robots for societal benefit.

Join Axon and Be a Force for Good.At Axon, we are dedicated to the mission of protecting life. As innovators, we tackle society's most pressing safety and justice challenges through our array of devices and cloud-based software. Just like our products, we believe in collaboration—connecting with transparency and empathy, while valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. Here, you will have the opportunity to take ownership and effect real change. Continuously grow as you work hard for a mission that truly matters at a company where you are valued.Your ImpactAre you driven by a passion for AI? Do you thrive on engineering solutions that push the boundaries of science? Are you eager to play a vital role in creating products that have a positive impact on the world?As a Machine Learning Engineer at Axon, you will be instrumental in designing and implementing the platform utilized by Axon scientists to integrate secure, reliable AI features into our devices. You will collaborate closely with scientists and device engineers to enable new AI capabilities for Axon products, including Fleet, Axon Body, Axon Air, and more. Working within a multidisciplinary team, you will explore a wide range of domains and applications, from Automatic License Plate Recognition to Object Tracking and Automatic Speech Recognition.The ideal candidate will possess a proven track record of optimizing models for edge deployment, including on-device implementations with limited memory and connectivity, ensuring users around the globe are served effectively. You will have a strong understanding of the AI lifecycle, supporting scientists throughout the end-to-end development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. You will be encouraged to take bold steps in supporting your team to enable features that transform the lives of officers and drive positive impacts in public safety.

Join Hive as a Senior Machine Learning EngineerAt Hive, we are at the forefront of cloud-based AI innovation, providing solutions that empower organizations to understand, search, and generate content seamlessly. Our advanced AI models are trusted by leading global enterprises, processing billions of API requests monthly. We also deliver ready-to-use software applications that leverage our proprietary AI models and datasets, driving transformative applications in content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.With over $120M raised from top-tier investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive boasts a diverse team of over 250 professionals across our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we want to hear from you!Your Role as a Machine Learning EngineerTo achieve our ambitious vision, we are expanding our team of elite machine learning engineers. We seek developers who are not only enthusiastic about deep learning but also eager to prototype cutting-edge neural network models and deploy them to production. The ideal candidate thrives on tackling terabyte-scale datasets, embraces continuous learning across the entire machine learning stack, and demonstrates a proactive approach to project ownership. A successful applicant will have a track record of building machine learning-powered projects from inception, contributing innovative ideas, and designing scalable, maintainable data pipelines.

At PitchBook, a subsidiary of Morningstar, we are committed to forward-thinking innovation. Our culture is rooted in collaboration, energy, and a shared enthusiasm that permeates our work environment. We offer comprehensive learning programs and mentorship opportunities that nurture a culture of curiosity, motivating us to discover new solutions and improve our processes continuously. The dynamic nature of our industry, combined with our ambitious goals, presents challenges; however, we thrive on overcoming them through innovation, risk-taking, and a relentless pursuit of excellence.If you bring a positive attitude and a willingness to take initiative, PitchBook is the perfect place for you.About the Role:As a vital member of the Product and Engineering team at PitchBook, you will join a group of visionary thinkers and innovators dedicated to enhancing our impact on clients and the company. We prioritize curiosity and strive for continuous improvement, with customer empathy at the core of our product development efforts.Recognizing that success is built on teamwork and diverse perspectives, we collaborate closely with global partners. Our team fosters a culture of respect, constructive dialogue, and integrity, investing in our personnel who are eager to learn and grow. Join us and advance your career!As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will be instrumental in delivering AI-driven features that yield valuable insights from PitchBook’s extensive data resources.

Individuals in this position are required to work from our Seattle offices. On-site work expectations vary by role and team. If you have inquiries regarding on-site arrangements for this position, please reach out to your recruiter.Our base salary range is between $170,000 and $220,000, complemented by generous bonus plans to ensure a competitive compensation package.About Us:We are a non-profit AI institute dedicated to pioneering foundational research and innovation in AI, delivering tangible impacts through expansive open models, data, and artifacts (e.g., Olmo, Tulu, Molmo). Our mission is to bring together the most talented scientific and engineering professionals to explore the vast potential of open AI. Through groundbreaking initiatives like the Olmo releases, we aim to empower academics, researchers, and AI developers to enhance language models and generative AI.Our team engages in diverse AI research, including pre-training and post-training language models, data curation across modalities, and the development of innovative methodologies. We rigorously study and evaluate AI models both theoretically and empirically to enhance their functionality. Additionally, we focus on creating impactful real-world applications in scientific synthesis, striving to develop state-of-the-art models for scientific discovery, reasoning, and factual recall.Your Challenge:As a core member of our research and machine learning engineering team, you will contribute to exciting projects, leveraging your hands-on experience in a fast-paced environment.

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.