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Senior Applied AI/ML Engineer

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets.
Machine Learning
Senior Software Engineer
Remote
10+ years of experience
AI · Healthcare · Enterprise SaaS

Description For Senior Applied AI/ML Engineer

TetraScience, the Scientific Data and AI Cloud company, is seeking a Senior Applied AI/ML Engineer to join their team. This role presents a unique opportunity to work at the intersection of AI and life sciences, helping to accelerate drug discovery processes across multiple pharmaceutical companies.

The position involves designing, developing, and implementing AI/ML solutions in a company that has already solved the fundamental data organization and accessibility challenges. This allows the AI team to focus on building innovative solutions rather than dealing with data infrastructure issues. The role spans various exciting projects including ML-reinforcement learning with large continuous datasets, NLP tools for document processing, and protein design/optimization using diffusion models.

As the category leader in this vital new market, TetraScience has established partnerships with major players in compute, cloud, data, and AI infrastructure. The company's unique position allows for an outsized impact in the pharmaceutical industry, as solutions developed here benefit multiple companies simultaneously.

The ideal candidate will bring 10+ years of AI/ML development experience or 5+ years specifically in life sciences, along with an advanced degree in a relevant field. They should have a proven track record of deploying AI models for real-world problems and demonstrate superior expertise in at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models.

The role offers comprehensive benefits including 100% employer-paid benefits for employees and family members, unlimited PTO, 401K, and company-paid insurance. The position is remote, offering flexibility while working on meaningful projects that accelerate drug discovery and development.

TetraScience emphasizes their unique company culture through the "Tetra Way" letter, authored by their CEO Patrick Grady, which potential candidates are expected to review and align with. This demonstrates the company's commitment to maintaining a strong cultural fit and shared values among team members.

This is an excellent opportunity for an experienced AI/ML professional who wants to make a significant impact in the life sciences industry while working with cutting-edge technology and data science applications.

Last updated 11 days ago

Responsibilities For Senior Applied AI/ML Engineer

  • Designing, developing, training, and validation of AI/ML products
  • Support and advise executive leadership regarding technical and commercial feasibility
  • Work with commercial teams to understand the impact of AI in life-sciences
  • Collaborate with cross functional teams to build products

Requirements For Senior Applied AI/ML Engineer

Python
  • Advanced degree in Biological, Data, or Computer Science
  • 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences
  • Portfolio demonstrating end-to-end ownership of AI/ML products
  • Proven track record of deploying AI models addressing real world problems
  • Superior talent developing at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models
  • Deep understanding of hurdles facing pharmaceutical drug development
  • Demonstrated ability to make productized applications
  • Excellent communication skills
  • Experience collaborating with teams on large software projects

Benefits For Senior Applied AI/ML Engineer

401k
Medical Insurance
  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Company paid Life Insurance, LTD/STD
  • A culture of continuous improvement where you can grow your career and get coaching

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