Senior/Principal Machine Learning Engineer at Edison Scientific - ScoutJobs - The AI-curated global job board
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Posted 13 hours ago

Senior/Principal Machine Learning Engineer

Edison ScientificSenior/Principal Machine Learning Engineer

Perks & benefits

Health InsuranceFamily Medical InsurancePaid Leave

Requirements

5-10+ years applied ML research experience, Full ML lifecycle experience, Proficiency in PyTorch or Jax, Strong programming expertise

Skills

PyTorchJaxLLMMachine Learning

About the role

About the Company

Edison Scientific builds and commercializes AI agents for science. We are assembling a team of top researchers and engineers across AI and biology to build an AI scientist to accelerate scientific discovery.

Responsibilities

  • Interpret qualitative challenges in building AI agents for science as well-formulated optimizable problems
  • Build appropriate environments in which to train and deploy AI agents that solve scientific tasks
  • Work with scientists to formulate training data pipelines and scale them, ensuring observability and reproducibility
  • Lead training of large-scale LLM-based systems, including building internal infrastructure to improve experimentation and production training runs
  • Build efficient and flexible inference infrastructure, supporting complex sampling algorithms and custom architectures
  • Develop and extend the experimentation platform for internal tools and projects
  • Collaborate closely with a multidisciplinary team of AI researchers, chemists, and biologists

Requirements

  • 5-10+ years of experience in applied ML research and real-world ML applications
  • Experience across the ML lifecycle: data pipelines, model training, deployment, and production validation
  • Fluency in PyTorch, Jax, or equivalent frameworks
  • Demonstrated experience with experimentation in academic or industry settings
  • Strong programming expertise across the data, ML, and LLM software stack

Preferred Qualifications

  • PhD in Machine Learning, Computer Science, or a quantitative field
  • Familiarity with leveraging and managing distributed computing resources
  • Background architecting complex distributed systems

Benefits

  • Competitive salary and equity
  • 100% healthcare premium coverage for employees and dependents
  • Yearly new parent stipend and fertility coverage
  • 12 weeks of paid parental leave
  • Mental health support through Rula
  • Pet care support stipend
  • 401(k) company matching
  • Quarterly health and wellness benefit
  • Daily lunch and late-night dinner provided
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Senior/Principal Machine Learning Engineer

Edison Scientific · San Francisco

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