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Machine Learning Scientific Software Engineer - Remote Eligible

Develop large-scale ML models for drug development projects.
Remote
Senior
$163,000 - 225,000 USD / year
3 weeks ago
SandboxAQ

SandboxAQ

SandboxAQ leverages the compound effects of AI and Quantum technologies (AQ) to solve hard challenges impacting society.

Job is no longer active
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✨ About The Role

- The role involves driving the full lifecycle of new scientific machine learning projects, including architecture design and model implementation. - Responsibilities include developing auditable datasets and data-preparation pipelines, as well as training and experimentation. - The position requires deployment of productized capabilities and maintaining existing scientific software packages. - Collaboration with the Engineering Team to utilize cloud infrastructure is a key aspect of the job. - The candidate will work closely with the client-facing Drug Discovery Team to conduct mission-critical computational scientific work.

âš¡ Requirements

- A post-graduate degree in a relevant scientific discipline such as physics, chemistry, biology, or computer science is essential. - At least 5 years of professional experience in implementing, training, and deploying modern deep learning architectures is required. - Experience with large datasets and distributed compute resources is necessary for success in this role. - Proficiency in MLOps and data engineering best practices is expected. - The ideal candidate should be able to write high-quality code quickly and efficiently. - A desire to work in a fast-paced, collaborative environment with diverse perspectives is important.
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Machine Learning Scientific Software Engineer - Remote Eligible
Remote
$163,000 - 225,000 USD / year
Software
Job is no longer active
About SandboxAQ
SandboxAQ leverages the compound effects of AI and Quantum technologies (AQ) to solve hard challenges impacting society.