Senior Applied AI-ML Engineer

Job not on LinkedIn

June 6

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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TetraScience

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Artificial Intelligence • Biotechnology • SaaS

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

📋 Description

•Who We Are •TetraScience is the Scientific Data and AI Cloud company. •We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. •TetraScience is the category leader in this vital new market. •You will be responsible for designing, developing, training, and validation of AI/ML products. •Support and advise executive leadership regarding technical and commercial feasibility. •Collaborate with cross functional teams to build products.

🎯 Requirements

•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, healthcare, or regulated environments. •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 •Degree in AI or ML •Deep understanding of hurdles facing pharmaceutical drug development •Demonstrated ability to make productized applications (for use by more than one group) •Excellent communication skills •Ability to advocate and evangelize for AI initiatives internally and externally •Experience collaborating with teams on large software projects

🏖️ Benefits

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