Edison Smart®
Founding Machine Learning Engineer
Edison Smart®, San Francisco, California, United States, 94199
Base pay range
$180,000.00/yr - $300,000.00/yr Direct message the job poster from Edison Smart Principal Consultant - Smart Health/Wearables/Bio-tech
An ambitious AI-driven biotech startup is seeking a Founding ML Engineer to build the core machine learning models powering the next generation of molecular discovery. This is a rare opportunity to shape the technical direction of a company revolutionizing R&D through AI. Key Responsibilities: Design and train novel ML architectures for biomolecular interaction modeling Build high-quality datasets and autonomous data collection pipelines Analyze model performance, guide data strategy, and improve generalization Develop scalable ML infrastructure and lead future model development Work closely with founders in a fast-paced, high-ownership environment Key Skills/Experience: Strong ML engineering & software fundamentals (Python, PyTorch/JAX/TensorFlow) Expertise in model architecture design and training optimization Deep knowledge of mathematics, algorithms, statistics, data science Skilled in SQL and dataset creation Experience running large-scale GPU training pipelines Bonus Skills: Familiarity with biochemical/structural biology datasets Exposure to foundation models (AlphaFold, ESM, RoseTTAFold) Experience with LLM agents and large model deployment 1-2% Equity 401k Significant technical ownership of core ML stack Early-stage equity and career-defining role Mission-driven work with direct impact on sustainability & agriculture Small, high-caliber engineering team with rapid decision-making If you’re interested and think you have the skills required as a Machine Learning Engineer, please don’t hesitate to apply! Seniority level
Not Applicable Employment type
Full-time Job function
Agricultural Chemical Manufacturing, Biotechnology Research, and Software Development
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$180,000.00/yr - $300,000.00/yr Direct message the job poster from Edison Smart Principal Consultant - Smart Health/Wearables/Bio-tech
An ambitious AI-driven biotech startup is seeking a Founding ML Engineer to build the core machine learning models powering the next generation of molecular discovery. This is a rare opportunity to shape the technical direction of a company revolutionizing R&D through AI. Key Responsibilities: Design and train novel ML architectures for biomolecular interaction modeling Build high-quality datasets and autonomous data collection pipelines Analyze model performance, guide data strategy, and improve generalization Develop scalable ML infrastructure and lead future model development Work closely with founders in a fast-paced, high-ownership environment Key Skills/Experience: Strong ML engineering & software fundamentals (Python, PyTorch/JAX/TensorFlow) Expertise in model architecture design and training optimization Deep knowledge of mathematics, algorithms, statistics, data science Skilled in SQL and dataset creation Experience running large-scale GPU training pipelines Bonus Skills: Familiarity with biochemical/structural biology datasets Exposure to foundation models (AlphaFold, ESM, RoseTTAFold) Experience with LLM agents and large model deployment 1-2% Equity 401k Significant technical ownership of core ML stack Early-stage equity and career-defining role Mission-driven work with direct impact on sustainability & agriculture Small, high-caliber engineering team with rapid decision-making If you’re interested and think you have the skills required as a Machine Learning Engineer, please don’t hesitate to apply! Seniority level
Not Applicable Employment type
Full-time Job function
Agricultural Chemical Manufacturing, Biotechnology Research, and Software Development
#J-18808-Ljbffr