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Tech Stack
Tools & technologiesPythonPyTorchShell ScriptingTensorflow
About the role
Key responsibilities & impact- Design and implement AI/ML-driven solutions throughout the entire model development life cycle.
- Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks.
- Deliver robust, tested, and high-performance code in an agile environment.
- Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models.
Requirements
What you’ll need- Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions.
- Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow).
- Familiarity with machine learning literature and state-of-the-art approaches.
- Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python.
- Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting.
- Fluency in English.
Benefits
Comp & perks- health care and other insurance benefits (for employee and family)
- retirement benefits
- paid holidays
- vacation
- paid caregiver/parental and medical leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI solutionsML solutionsmachine learning modelsdeep learning frameworksPyTorchJAXTensorFlowPython programmingsoftware engineering best practicesshell scripting
Soft Skills
communicationcollaborationproblem-solvingagile methodology