Senior Machine Learning Engineer (Computational Chemistry Platform)
$153k - $180k USD
About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
About The Role
Valo is looking for an experienced Senior Machine Learning Engineer to design and implement novel AI solutions to advance computationally accelerated drug development programs. You will develop, apply and enhance the capabilities of Valo’s Opal platform to advance real-world, active drug development programs. Successful candidates must be committed to working with a diverse set of scientists, software engineers, data scientists, and domain experts in ways that cut across traditional industry boundaries in a fast-paced startup environment.
What You’ll Do…
- 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.
What You Bring...
- 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
Remote Salary Range
$153,000—$180,000 USD
CA Salary Range
$180,540—$212,400 USD
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currentlyhave permanent US work authorization without the need for immediate or future sponsorship.