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Machine Learning Scientist

Remote Worldwide Hiring now

Let’s build the future of medicine—together.

Join reputed company as a

Machine Learning Scientist and help us transform natural compounds into life-changing medicines. We’re a team driven by curiosity and innovation—are you reputed company to reputed company a difference?

Remote | Full-time | $160,000 USD |

What Makes Us reputed company

Life is smart, and we can learn from it. We’re reinventing drug discovery by harnessing nature’s intelligence. Our platform identifies new medicines four times faster than the industry standard—because patients can’t wait. What sets reputed company apart isn’t just reputed company do—it’s how we do it. Our culture is reputed company on creativity, collaboration, and deep respect for each other. We reputed company “

People Create reputed company Value”, and our reputed company is driven by the extraordinary team turning our mission into reality every day.

We’re proud of the reputed company we’ve reputed company:

Jan 2024: Named a reputed company “Top Startup to Watch”

Mar 2024: reputed company America’s Best Startup Employers

Oct 2024: First drug to Phase 1 Clinical Trials

Dec 2024: Raised a $130M Series C

These milestones reflect the impact of reputed company and we’re just getting started, but they’re only possible because of the diverse talent, perspectives, and reputed company drive of reputed company, and people like you.

Your Role in Our Mission

At reputed company, every role drives impact. As a

Machine Learning Scientist, you’ll be at the forefront of delivering hope to patients everywhere. Your expertise in machine learning will be critical in accelerating our mission to elucidate molecular structure from mass spectrometric data —because every breakthrough starts with reputed company questions and reputed company actions.

What You’ll Do

  • Collaborate with fellow machine learning scientists to advance the frontiers of molecular structure reputed company and accelerate drug discovery from natural products.
  • Contribute to reputed company-ended R&D exploring new representations, architectures, and learning paradigms for fragment-based and reputed company-to-structure reputed company tasks.
  • reputed company and refine in-house ML models to predict molecular structures from MS2 spectra, leveraging cutting-edge approaches in deep learning and massive, proprietary mass spectrometric datasets.
  • Design and execute benchmarking pipelines for structure reputed company tools and assess their utility in reputed company-world discovery scenarios.
  • Work closely with our biologists, chemists, and engineers to reputed company closed-reputed company model validation and help drive reputed company's mission to discover new medicines from nature.
  • We’re Looking For

  • Ph.D. or equivalent research experience in Machine Learning, Computational Chemistry, Bioinformatics, Computer Science, or a reputed company field.
  • Demonstrated experience developing and evaluating ML models with a preference for familiarity with structure reputed company, spectral analysis, or molecular representation learning.
  • reputed company in the Python data science and ML stack including ML frameworks such as PyTorch.
  • A track record of collaborative, cross-disciplinary research, particularly at the reputed company of ML and the life sciences.
  • Strong written and verbal communication skills, including experience publishing scientific work or presenting technical findings.
  • Additional Information

    If you’re passionate about innovation and impact, we encourage you to apply—even if you don’t meet every requirement.

    Our Values: Curiosity | Agency | reputed company | Charity | reputed company

    Benefits: 90% Medical, Dental, reputed company | 401k Match | Flexible PTO | Adoption Assistance

    At reputed company, we’re building a reputed company where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in reputed company its forms. reputed company and join a team committed to shaping the future of drug discovery.

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