Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer designing and implementing AI solutions to advance drug development at Valo Health. Collaborating with scientists and engineers in a fast-paced startup environment.
Responsibilities:
- Design, develop, test, maintain, and improve an integrated codebase of AI and machine learning tools
- Work with data scientists, researchers, product teams, and other domain experts to build solutions for complex data-oriented problems
- Develop solutions for advancing real-world preclinical discovery programs, tackling problems such as ADME modeling, toxicity prediction, and generative chemistry.
Requirements:
- A PhD (or Master’s with experience) in Computer Science, Data Science or related technical field
- Two years of experience applying modern ML/AI techniques to real-world problems with demonstrated business impact
- Strong proficiency in python and modern ML frameworks (PyTorch, Hugging Face)
- An aptitude for learning about new domains and adapting machine learning techniques to impact drug discovery
- Experience with software engineering best practices and an ability to write clean, re-usable code in a collaborative environment
- Experience and interest contributing to all stages of ML development and deployment
- Strong analytical, problem-solving, and communication skills, including the ability to also condense, summarize, and synthesize those results into informative and actionable presentations to less technical audiences.
- Strong personal project management skills with demonstrated ability to deliver iterative results and balance tradeoffs between exploratory research and delivering short-term value
Benefits:
- Healthcare coverage
- Annual incentive program
- Retirement benefits
- Flexible working arrangements
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