Somite AI
Staff Machine Learning Researcher - Biological Foundational Models
Somite AI, Boston, Massachusetts, us, 02298
Overview
Staff Machine Learning Researcher - Biological Foundational Models at Somite AI. Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale. We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy. Somite’s core values include accountability, urgency, and collaboration. Location: Boston, MA (onsite, full-time). About the role: As a Senior Machine Learning Researcher - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. You’ll design cutting-edge AI solutions, contribute to pioneering research, and help build the core infrastructure driving Somite’s cell-replacement therapy platform. This role is ideal for a machine learning expert driven by scientific inquiry and eager to pioneer biological discoveries through foundational AI models. Responsibilities
Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data Collaborate closely with computational biologists to ensure models produce biologically meaningful, interpretable outputs, engaging deeply with biological questions and research Design and implement novel deep learning architectures, including transformer-based models tailored to biological data Build scalable, distributed pipelines for training and inference across trillion-token biological datasets Provide mentorship and technical guidance to other machine learning researchers on the team Qualifications
6+ years of experience in machine learning, transformer-based deep learning, and large-scale data analysis, preferably in biological applications Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or a related field Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Proven experience building and optimizing large-scale models, including transformer-based architectures Demonstrated track record of independent research and end-to-end model development, from prototyping to production Passion for AI-driven biology and its potential to transform healthcare Preferred Qualifications
PhD with a strong publication record in top machine learning and/or computational biology journals Extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data Experience with reinforcement learning (e.g., RLHF, PPO), diffusion models, or multi-modal architectures applied to structured, high-dimensional data Experience in startups or fast-paced environments, with a self-directed, proactive work style Benefits
Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions Work alongside a talented and passionate team at the forefront of AI and cellular biology Contribute to the development of groundbreaking therapies that address significant unmet medical needs Enjoy a competitive salary and benefits package, including flexible work options Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed. Join us and help unlock the full potential of AI for the benefit of human health! Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other
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Staff Machine Learning Researcher - Biological Foundational Models at Somite AI. Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale. We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy. Somite’s core values include accountability, urgency, and collaboration. Location: Boston, MA (onsite, full-time). About the role: As a Senior Machine Learning Researcher - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. You’ll design cutting-edge AI solutions, contribute to pioneering research, and help build the core infrastructure driving Somite’s cell-replacement therapy platform. This role is ideal for a machine learning expert driven by scientific inquiry and eager to pioneer biological discoveries through foundational AI models. Responsibilities
Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data Collaborate closely with computational biologists to ensure models produce biologically meaningful, interpretable outputs, engaging deeply with biological questions and research Design and implement novel deep learning architectures, including transformer-based models tailored to biological data Build scalable, distributed pipelines for training and inference across trillion-token biological datasets Provide mentorship and technical guidance to other machine learning researchers on the team Qualifications
6+ years of experience in machine learning, transformer-based deep learning, and large-scale data analysis, preferably in biological applications Master’s degree or higher in Computer Science, Artificial Intelligence, Computational Biology, or a related field Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Proven experience building and optimizing large-scale models, including transformer-based architectures Demonstrated track record of independent research and end-to-end model development, from prototyping to production Passion for AI-driven biology and its potential to transform healthcare Preferred Qualifications
PhD with a strong publication record in top machine learning and/or computational biology journals Extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data Experience with reinforcement learning (e.g., RLHF, PPO), diffusion models, or multi-modal architectures applied to structured, high-dimensional data Experience in startups or fast-paced environments, with a self-directed, proactive work style Benefits
Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions Work alongside a talented and passionate team at the forefront of AI and cellular biology Contribute to the development of groundbreaking therapies that address significant unmet medical needs Enjoy a competitive salary and benefits package, including flexible work options Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed. Join us and help unlock the full potential of AI for the benefit of human health! Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Other
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