Senior/Principal Machine Learning Researcher - Biological Foundational Models

Join Cellular Intelligence as a Senior/Principal Machine Learning Researcher!At Cellular Intelligence, formerly known as Somite AI, we strive to revolutionize stem cell biology by creating AI foundational models that facilitate the development of innovative cell therapies on a large scale.Our comprehensive approach allows us to generate data at a cost efficiency of 1,000 times lower than traditional methods, while training large-scale models that possess unparalleled predictive capabilities. These models are pivotal in discovering, refining, and optimizing impactful applications in cell therapy.Our founding team boasts a wealth of experience, including AI entrepreneur Dr. Micha Breakstone, who successfully led Chorus.ai to a $575M acquisition, the Head of MIT's Fundamental AI Group, and a cadre of professors from Harvard Medical School and the University of Washington, comprising members of the National Academy of Sciences and Medicine. Based in Boston, we are excited to commence operations in January 2024 and have secured nearly $60 million in funding to date.

Asimov is seeking a highly skilled and experienced Senior Scientist/Principal Scientist in Biologics Cell Line Development to join our innovative team in Boston, MA. In this pivotal role, you will lead the development of high-yield mammalian cell lines for the production of biologics. You will collaborate closely with cross-functional teams to optimize production processes and ensure the successful translation of cell line development from research to clinical applications.

Join our innovative team at Foundation LLM Technologies, an MIT-originated and venture-backed startup situated in the heart of Silicon Valley. We are on a mission to create a groundbreaking AI Copilot for design and manufacturing, resembling a real-life 'Jarvis'. By harnessing cutting-edge artificial intelligence, advanced physics simulations, and state-of-the-art computer graphics, we aim to lower costs and enhance engineering productivity throughout the entire design and manufacturing lifecycle.

Become a Force for Good at Axon.At Axon, our mission is to Protect Life. We are dedicated explorers, tackling society’s most pressing safety and justice challenges with our innovative ecosystem of devices and cloud software. Our collaborative culture fosters openness and empathy, drawing upon diverse perspectives from our customers, our communities, and each other.Life at Axon is dynamic, challenging, and deeply rewarding. Here, you will take ownership and drive meaningful change while growing alongside a purpose-driven team.Your ImpactWe are looking for exceptionally talented and forward-thinking Machine Learning Scientists to join our AI team, specializing in AI applications such as Large Language Models (LLM) and Computer Vision in Cloud, Devices, and Robotics. As a pivotal member of our research and development initiative, you will significantly contribute to the advancement of cutting-edge technologies like LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI (GenAI) for law enforcement and beyond. You will work collaboratively with cross-disciplinary teams to design, develop, and implement innovative LLM, MLLM, and CV models and algorithms, enabling intelligent reasoning, perception, and comprehension of multimodal data.What You’ll DoLocation: Available in any city with an Axon Engineering Hub in the US, Vietnam, or EU (see https://www.axon.com/company)

Asimov builds tools for designing living systems, combining mammalian synthetic biology with software to support next-generation therapeutics. The Biologics Cell Line Development team in Boston, MA, is growing, and we're seeking a Principal Scientist to help lead our efforts in CHO-based cell line development for biologic therapeutics moving into clinical trials. Role Overview This Principal Scientist position calls for a scientific leader ready to manage a team and drive innovation in cell line development. The role involves designing and executing complex experiments, improving expression systems, and collaborating closely with teams across synthetic biology, modeling, process development, and analytics. The work directly supports Asimov’s mission to advance biological engineering in a startup environment. What You Will Do Oversee CHO cell line development, including transfection, cloning, characterization, and cell banking using advanced technologies. Develop new genetic components, engineer host cell lines, and refine development processes to improve biologics production. Stay current with emerging practices in biologics cell line development and manufacturing, applying new strategies to ongoing projects. Represent the cell line development group on cross-functional projects, making key decisions and communicating progress and plans. Contribute to the scientific community by presenting at conferences, filing patents, and publishing peer-reviewed research. Lead and mentor a team of at least three scientists, providing technical guidance and supporting their career growth. Qualifications At least 8 years of experience in CHO-based cell line development, with a focus on IgG and bispecific expression in an industrial setting. Demonstrated success in creating innovative solutions and experimental approaches in cell line development. Experience managing and developing scientific teams. Strong communication skills for effective work across multidisciplinary groups.

At WHOOP, we are revolutionizing health and fitness with our state-of-the-art wearable technology, dedicated to enhancing human performance and extending healthspan. Our innovative approach enables members to gain profound insights into their bodies, behaviors, and daily activities, empowering them to make healthier choices and achieve peak performance.We are on the lookout for a Senior Machine Learning Engineer to join our dynamic Foundation AI team. This team is responsible for developing the multimodal foundation models that drive WHOOP’s next generation of intelligent, personalized, and health-optimizing solutions. These models seamlessly integrate data from wearable sensors, linguistic inputs, biomarkers, clinical data, and self-reported metrics to build scalable AI systems that accurately understand human physiology and behavior.In this pivotal role, you will be a key individual contributor leading the research, development, and implementation of large-scale multimodal models. You will work collaboratively with data scientists, ML engineers, and cross-functional partners to advance the frontiers of deep learning and ensure that our models provide significant value to WHOOP members.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the eastern or central time zones to collaborate effectively with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to steer and implement our AI and data science initiatives. This senior technical leadership role requires a unique individual who possesses extensive knowledge in machine learning, data science, and production engineering, coupled with the business insight needed to transform intricate capabilities into tangible customer value.In this role, you will serve as the leading technical authority on AI at Wiser. Your responsibilities will include defining the architectural vision, showcasing our capabilities to clients and partners, and delivering production systems that yield measurable business results. This position demands an individual who can seamlessly navigate between strategic planning and hands-on execution, capable of engaging with executives one day and troubleshooting production pipelines the next.We are fostering an AI-driven engineering culture at Wiser, where AI tools and methodologies are integrated into our workflows—not just our products. We seek a Principal AI Engineer who not only develops AI solutions but also exemplifies AI-enhanced working practices and aids the broader engineering team in their adoption. If you’re passionate about the transformative power of AI in software development and actively embrace this shift in your daily work, we want to hear from you.Key ResponsibilitiesStrategic LeadershipCollaborate with product and business leadership to define and refine Wiser's technical AI and data science strategy.Communicate Wiser's AI capabilities to clients, partners, and advisors, outlining our approach, roadmap, and unique value proposition.Spot high-impact opportunities where AI can effectively address client challenges or provide competitive advantages.Set technical standards, patterns, and best practices that guide engineering decisions across the organization.Technical ExecutionDesign and develop production AI systems, including applications for LLM, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with modern generative AI methods.Oversee the technical quality of AI systems end-to-end, from data pipelines and model deployment to production observability.Cross-Functional CollaborationWork alongside product management to translate business needs into technical solutions and validate them against customer expectations.Guide and uplift the AI/data science team (3-5 engineers), enhancing the technical proficiency across the board.

About Us At PathAI, our mission is to revolutionize patient care by enhancing diagnostic accuracy through AI-driven pathology solutions. Our platform is designed to significantly boost the precision of disease diagnoses and the effectiveness of cancer treatments by utilizing cutting-edge machine learning and artificial intelligence technologies. With a proven history of implementing AI algorithms in histopathology across various settings, including translational research, pathology laboratories, and clinical trials, we emphasize rigorous scientific methodologies and thorough analyses in every project. Our diverse team, united by a shared passion for tackling complex problems, is dedicated to making a meaningful impact on patient outcomes. Your Role We are on the lookout for talented Machine Learning Engineers (Applied Research & Model Development) to join our innovative team. In this role, you will engage with various departments, including biomedical data science, product development, translational research, MLOps, and platform engineering, to advance our machine learning capabilities and enhance patient care through our AI products and services. Key Responsibilities Design, implement, and launch machine learning models for both research and product development initiatives. Work collaboratively with cross-functional teams, including scientists, engineers, and product stakeholders, to translate clinical and biological requirements into scalable machine learning solutions. Participate in experimental design and analysis, including ideation, documentation, and reporting processes. Contribute to team knowledge sharing initiatives such as design reviews, journal clubs, and discussions on machine learning best practices and governance. Enhance machine learning pipelines and infrastructure in collaboration with MLOps and platform engineering teams.

Join us in transforming how the Department of Defense (DoD) approaches multi-billion-dollar force design decisions. As a Senior Principal Software Engineer, you will integrate physics-based simulations, dynamic computing, and validated AI code generation to develop state-of-the-art wargaming platforms. We are looking for a proactive leader who can architect and develop a scalable, cloud-distributed simulation environment while motivating a small, dedicated team through hands-on leadership.Your ResponsibilitiesDesign & Implement: Create a robust, interactive physics simulation that operates efficiently across cloud and on-premises clusters.Own the Core Codebase: Manage the modern C++ codebase, focusing on multi-threaded performance optimization and continuous integration practices.Collaborate: Work closely with product and AI teams to incorporate verified, AI-generated algorithms directly into a developer SDK for platform enhancement.Prototype & Iterate: Deliver functional capabilities to government end-users in weeks, not months, through rapid prototyping.Set Engineering Standards: Uphold high coding standards, document processes thoroughly, and mentor team members through code reviews and pair programming.

Join our innovative Behaviors team at Motional, where you will work alongside leading ML engineers dedicated to advancing self-driving technology and making a meaningful social impact. Our team specializes in developing sophisticated machine learning models that enable autonomous vehicles to navigate real-world traffic scenarios effectively. These models inform our vehicle's behavior and predict interactions with other road users, including vehicles and pedestrians.We are seeking exceptional leaders and technical experts passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and wish to accelerate your career with a dynamic, rapidly growing company, we want to hear from you!Your Responsibilities:Define and oversee motion planning and prediction projects aimed at enhancing the safety, comfort, and legality of our self-driving vehicles in complex traffic environments.Lead, mentor, and expand a talented team of engineers.Design and implement advanced behavior models utilizing cutting-edge machine learning, generative AI, and reinforcement learning techniques.Transition solutions into production and deploy them across our fleet of autonomous vehicles.Collaborate with perception, simulation, data platforms, and integration teams to validate and optimize the performance of your solutions in real-world scenarios.Communicate strategies, progress, and challenges to the executive leadership team.

About SimpliSafe SimpliSafe stands at the forefront of innovation within the home security sector, committed to ensuring that every household can feel secure. Our mission revolves around delivering accessible and thorough security solutions by designing user-focused products that empower families to safeguard what they cherish the most. We foster a collaborative and agile work environment that promotes continuous learning and growth. Our teams are composed of talented individuals who are enthusiastic about technology, security, and delivering superior customer experiences. Adopting a hybrid work model allows our teams to enjoy flexibility as they balance their time between the office and home. We encourage in-person collaboration during core office days, typically Tuesday, Wednesday, or Thursday, while offering the freedom to choose their work environment throughout the remainder of the week. This approach provides us all with the best of both worlds to maximize our productivity.

Join our innovative team at hike-medical as a Senior Machine Learning Engineer. In this pivotal role, you will harness state-of-the-art machine learning techniques to develop cutting-edge healthcare solutions. Your expertise will drive the design and implementation of robust algorithms, enhancing the efficiency and accuracy of our medical technologies.

Join Our Team: At Motional, our mission is to revolutionize transportation through the development of autonomous vehicles. As part of our cutting-edge team, you will collaborate with top-tier machine learning engineers and research scientists to bring self-driving technology to life, making a positive impact on society. We focus on creating advanced tech stacks that analyze complex driving environments and generate safe, comfortable trajectories for our robotaxi services using state-of-the-art deep neural networks.Your Role:As a Senior Machine Learning Engineer specializing in prediction, you will play a pivotal role in training, evaluating, and deploying our machine learning models for scene understanding, behavior prediction, and planning. Your daily responsibilities will include:Designing and conducting high-impact experiments through collaboration with fellow machine learning engineers.Prototyping and enhancing metrics for assessing the performance of our behavioral models across various scenarios and capabilities.Ensuring timely updates of major models, including detailed analysis of offline and on-road evaluation data.Staying abreast of the latest industry trends, proposing innovative architectures and network designs based on current literature.Maintaining a robust training and evaluation codebase, particularly focusing on dataset generation and evaluation.

At WHOOP, we are dedicated to revolutionizing human performance and enhancing healthspan. Our platform empowers members to achieve peak performance through a comprehensive understanding of their physiology and daily activities.We are looking for a Senior Machine Learning Engineer to be a vital part of our Sensor Intelligence Group (SIG). This dynamic, cross-functional team collaborates across WHOOP Labs, Firmware, and Data Science to pioneer cutting-edge health features for our members. In this role, you will be instrumental in developing both member-facing and regulated health functionalities. You will need a strong foundation in machine learning principles, a keen eye for production readiness, and an understanding of regulatory considerations. Your primary challenge will be to derive reliable insights from complex, noisy sensor data and implement robust algorithms in constrained edge and cloud environments. Join us in advancing wearable technology and making a positive impact on the lives of millions!

Join our innovative team at Flagship Pioneering Inc. as a (Senior) Machine Learning Engineer, where you'll be at the forefront of developing cutting-edge artificial intelligence solutions. In this role, you will leverage your expertise in machine learning algorithms and data analysis to drive impactful results across various projects. Collaborate with a diverse team of scientists and engineers to create scalable models that can be implemented in real-world applications.

Join the Innovative Team at SunoAt Suno, we are not just a music company; we are a creative powerhouse dedicated to igniting imagination through the magic of sound. Harnessing the capabilities of the world’s most advanced AI music model, we provide an exceptional creative platform, including our groundbreaking generative audio workstation, Suno Studio. We believe in empowering everyone—from shower singers to seasoned artists—to create, share, and discover music, making musical expression accessible to all.Role OverviewWe are seeking passionate early members of our research team to collaborate closely with our founding members. You will play a pivotal role in shaping the future of our machine learning initiatives by making critical technical decisions on the development and deployment of our cutting-edge ML models, boasting an H100/scientist ratio exceeding 100x.Explore the Suno job posting here!

WHOOP, a leading innovator in health and fitness wearables, is dedicated to enhancing human performance and extending healthspan. We empower our members by providing profound insights into their physical condition and daily habits. As part of our Health team, you will contribute to developing cutting-edge algorithms and features that enhance our health offerings. This role involves pioneering work in various domains including women’s health, medical-grade metrics, wellness monitoring, and longevity research, merging continuous physiological data with clinical research to create impactful health solutions. As a Senior Machine Learning Engineer, you will design, construct, and implement ML systems that deliver personalized health metrics to millions. Your expertise will bridge data science, backend engineering, and cloud infrastructure, focusing on robust, scalable ML solutions derived from physiological and behavioral data. Strong coding, system design skills, and the ability to produce production-ready ML services are essential for success in this position.

Join Zoox as a Senior Data Scientist specializing in Machine Learning for Perception. In this pivotal role, you will leverage your expertise to develop advanced machine learning algorithms that enhance perception systems. Your contributions will directly impact the design and functionality of autonomous vehicles, driving innovation in the field.

This Research Assistant III role at Harvard University centers on microbiology and in vivo models. Based in Boston, the position supports projects that investigate microbial interactions and how they relate to health and disease. Main responsibilities Collaborate with scientists on research involving microbiology and in vivo models Carry out laboratory experiments and gather data Help prepare research results for publication Location This position is located in Boston, Massachusetts.

We are seeking an innovative and results-driven Manager of Algorithms and Machine Learning to join our dynamic team at Beacon Biosignals. In this role, you will lead a team of talented engineers and data scientists, driving the development of cutting-edge algorithms and machine learning solutions that enhance our healthcare technologies.Your expertise will contribute significantly to our mission of leveraging advanced analytics to improve patient outcomes. You will collaborate with cross-functional teams to translate complex data sets into actionable insights, ensuring our algorithms are robust, scalable, and effective in real-world applications.