Somite.ai is a venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.
Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.
Location: Boston
Click the following links to learn more about Somite:
https://x.com/SomiteAi/status/1922284999891472808
Click the following link to Apply:
https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZ
About the Role:
As a Machine Learning Engineer - Biological Foundational Models, you will play a key role in developing foundational models for single-cell RNA sequencing data. Working closely with other machine learning researchers and computational biologists, 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 someone passionate about applying machine learning to solve complex biological challenges.
Responsibilities:
● Drive the development of machine learning models for biological data, from research and prototyping to production deployment
● Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data
● Build scalable, distributed pipelines for training and inference across trillion-token biological datasets
● 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
Qualifications:
● 7+ years of experience in machine learning, 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:
● Strongly preferred: extensive background in biological research and biological modeling, ideally with single-cell RNA sequencing data
● Strongly preferred: 3+ years of professional software engineering experience in an industry setting.
● Experience with reinforcement learning techniques such as RLHF, PPO.
● Experience in startups or fast-paced environments, with a self-directed, proactive work style.
Click the following link to Apply:
https://jobs.ashbyhq.com/somite-ai?utm_source=0pRNP5YXRZ
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!
