PicnicHealth

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πŸ“ USA

🧭 Full-Time

πŸ’Έ 180000 - 220000 USD per year

πŸ” Life sciences

  • Ph.D. in Computer Science or a related technical field or 5 years of experience in writing production code.
  • Experience building models in PyTorch.
  • Published research in the domain of LLMs.
  • Hands-on experience with RAG applications and deploying ML models in the cloud.
  • Familiarity with cloud deployments using Terraform, Kubernetes, etc.
  • Commitment to continual learning in AI/ML techniques.

  • Propel the performance of the LLM tailored for medical records through research initiatives.
  • Develop advanced methods for understanding and evaluating LLM capabilities and limitations.
  • Incorporate recent advances in AI/ML research into core capabilities.
  • Share insights and breakthroughs via publications and blog posts.
  • Assist in attracting, interviewing, and onboarding new AI team members.

PythonKubernetesMachine LearningPyTorchTerraform

Posted 2024-11-20
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 160000 - 180000 USD per year

πŸ” Life Sciences

  • Have experience shipping code for 5+ years.
  • A B.S. in Computer Science or related field, or equivalent experience.
  • Strong foundation in computer science, with competencies in data structures, algorithms, software and system design.
  • Experience driving multi-quarter and multi-team initiatives or projects forward.
  • Successful at communicating with cross-functional stakeholders.
  • Ability to code on client and server for web platforms and write SQL queries.
  • Experience deploying and maintaining production applications in the cloud (GCP, AWS, Azure).
  • Excited by machine learning and its implications for user interfaces.

  • Drive impact for the organization by rallying partners to solve difficult and sometimes ambiguous problems.
  • Partner on translating the company’s strategic and high impact initiatives into an iterative roadmap of work.
  • Execute on the delivery with the engineering team.
  • Work at all levels of the stack including frontend, backend, infrastructure, and data.
  • Ship code to production frequently.
  • Architect efficient and reusable systems and propose best practices.
  • Mentor engineers by providing technical guidance.

GraphQLPostgreSQLPythonSQLGCPKubernetesMachine LearningAlgorithmsData StructuresRedisReact

Posted 2024-10-21
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