EPM Scientific
Overview
Vice President - AI/ML at EPM Scientific Staff Machine Learning Scientist role focusing on AI-driven foundational models for biological data and lab-in-the-loop experimentation. The company brings together AI-driven foundation models with regenerative medicine, leveraging large in-house datasets and cutting-edge machine learning to accelerate cell therapy development. Base pay range: $220,000.00/yr - $280,000.00/yr Key Responsibilities
Develop large-scale foundation models for high-dimensional biological data,
including single-cell RNA sequencing. Work at the intersection of
deep learning, computational biology, and experimental feedback loops . Engineer and scale distributed training and inference systems
capable of handling trillion-token biological datasets efficiently. Develop and experiment with advanced deep learning architectures , including transformer-based models specifically adapted for complex biological datasets. Join a team of top-tier AI researchers and life science experts in a fast-paced, mission-driven environment. Qualifications
3+ years
of experience in machine learning, with expertise in
transformer architectures and large-scale model training . Master's or Ph.D. in
Computer Science, AI, Computational Biology , or related field. Proven track record of
end-to-end model development , from research to production. This is in addition to proven independent research. Strong proficiency in
Python
and deep learning frameworks (PyTorch or TensorFlow). Bonus:
Experience with
reinforcement learning (RLHF, PPO) , diffusion models, or multimodal architectures. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research and Science Industries
Pharmaceutical Manufacturing Biotechnology Research Research Services Referrals increase your chances of interviewing at EPM Scientific. Get notified about new Machine Learning Researcher jobs in
Boston, MA .
#J-18808-Ljbffr
Vice President - AI/ML at EPM Scientific Staff Machine Learning Scientist role focusing on AI-driven foundational models for biological data and lab-in-the-loop experimentation. The company brings together AI-driven foundation models with regenerative medicine, leveraging large in-house datasets and cutting-edge machine learning to accelerate cell therapy development. Base pay range: $220,000.00/yr - $280,000.00/yr Key Responsibilities
Develop large-scale foundation models for high-dimensional biological data,
including single-cell RNA sequencing. Work at the intersection of
deep learning, computational biology, and experimental feedback loops . Engineer and scale distributed training and inference systems
capable of handling trillion-token biological datasets efficiently. Develop and experiment with advanced deep learning architectures , including transformer-based models specifically adapted for complex biological datasets. Join a team of top-tier AI researchers and life science experts in a fast-paced, mission-driven environment. Qualifications
3+ years
of experience in machine learning, with expertise in
transformer architectures and large-scale model training . Master's or Ph.D. in
Computer Science, AI, Computational Biology , or related field. Proven track record of
end-to-end model development , from research to production. This is in addition to proven independent research. Strong proficiency in
Python
and deep learning frameworks (PyTorch or TensorFlow). Bonus:
Experience with
reinforcement learning (RLHF, PPO) , diffusion models, or multimodal architectures. Seniority level
Mid-Senior level Employment type
Full-time Job function
Research and Science Industries
Pharmaceutical Manufacturing Biotechnology Research Research Services Referrals increase your chances of interviewing at EPM Scientific. Get notified about new Machine Learning Researcher jobs in
Boston, MA .
#J-18808-Ljbffr