Machine Learning Engineer

PostEra
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Job Description

  • Work with our research and drug discovery teams to design, develop and implement state-of-the-art algorithms that solve challenging chemistry and drug design problems.
  • Collaborate with our engineering and drug discovery teams to deploy, integrate, and evaluate these algorithms into our platform.
  • Consistently hunt for new techniques to improve efficiency and keep the production models running smoothly and as intended when making updates.

Desired skills and experience

  • At least 1 year of industry experience developing, deploying, and maintaining AI/ML tools with cloud infrastructure, using PyTorch, Tensorflow, Sci-Kit Learn, or other deep learning libraries.
  • Proven competence in databases, API design, and CI/CD.
  • Comfort with modern development and deployment tools (Docker, Git, Linux, AWS).
  • Interest in working on chemistry and drug design problems.

Bonus

  • Experience in deploying ML models in chemistry or drug design domains.
  • Follows deep learning research trends such as transformers and GNNs.
  • Hands-on Data Engineering experience with varied, unstructured and noisy datasets.
  • Knowledge of human-in-the-loop types of deployments.

Salary: 120k - 180k

Equity: 0.05% - 0.20%

Visa Sponsorship: Not at this time

Hiring Manager: Tony Schroeder

Company Info.

PostEra

PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry, to develop cures for diseases, faster. We've raised $26M from top investors, secured a $68M NIH partnership to prevent pandemics, and established a $260M partnership with Pfizer. We also launched and help lead the world's largest open-science initiative to find a COVID antiviral; COVID Moonshot.

  • Industry
    Healthcare,Artificial intelligence
  • No. of Employees
    20
  • Location
    Boston, MA, USA
  • Website
  • Jobs Posted

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PostEra is currently hiring Machine Learning Engineer Jobs in United States with average base salary of $120,000 - $190,000 / Year.

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