Senior Machine Learning Engineer

Lexington, KY - USA

Monthly Salary: $ 180540 - 212400

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

About Us

Valo Health is a human-centric AI-enabled biotechnology company working to make new drugs for patients faster. The companys Opal Computational Platform transforms drug discovery and development through a unique combination ofreal-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.

About The Role

Valois looking for an experiencedSenior 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 Valos 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 Youll 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 Masters 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

$153000 - $180000 USD

CA Salary Range

$180540 - $212400 USD

Compensation for the role will depend on a number of factors including a candidates 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 Healths 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 whocurrentlyhave permanent US work authorization without the need for immediate or future sponsorship.

Required Experience:

Senior IC

About UsValo Health is a human-centric AI-enabled biotechnology company working to make new drugs for patients faster. The companys Opal Computational Platform transforms drug discovery and development through a unique combination ofreal-world data AI human translational models and predictive chemis...