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Proxima
Proxima
11 – 50 Angajați
Sponsor pentru viza H1BBiotehnologieInteligență artificialăProduse farmaceutice
Proxima este o companie de biotehnologie care dezvoltă o platformă integrată de descoperire pentru proiectarea și programarea interacțiunilor dintre proteine. Abordarea sa combină inteligența artificială generativă, generarea avansată de date și modelarea structurală pentru identificarea medicamentelor bazate pe proximitate, inclusiv inductori, modulatori și blocanți moleculari. Proxima colaborează, de asemenea, cu parteneri din industrie pentru a avansa descoperirile bazate pe proximitate indusă către candidați medicamentoși.
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Machine Learning Engineer – New York Remote

Build Python and PyTorch workflows for Proxima’s AI-driven drug discovery platform. Improve scientific computing, machine learning infrastructure, and tools that help researchers run and evaluate experiments.

USStatele Unite ale AmericiiNYNew YorkRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de învățare automată
CloudKubernetesLinuxPythonPyTorch

Descriere

  • Create dependable scientific workflows that colleagues can execute, reproduce, and troubleshoot with minimal manual effort.
  • Add models, datasets, and evaluation approaches while maintaining data integrity and compatibility with existing experiments.
  • Strengthen compute workflows through improved job submission, monitoring, recovery from failures, and artifact tracking.
  • Find and resolve data preparation, execution, and evaluation bottlenecks to accelerate research iteration.
  • Develop maintainable libraries, services, and developer tools supported by suitable testing, documentation, and monitoring.
  • Support the culture of a rapidly expanding company.
  • Partner closely with researchers and infrastructure engineers.
  • Build experience across automation, infrastructure, data, and machine learning.
  • Help scientists create models, conduct experiments, and interpret their results.
  • Troubleshoot deployed systems, from integrating training datasets and diagnosing stalled inference jobs to creating APIs for scientific results and automating manual processes.

Cerințe

  • Strong Python and software engineering foundations, including data structures, interface design, testing, concurrency, and methodical debugging.
  • Demonstrated experience delivering software that others rely on, including maintaining and troubleshooting it after release.
  • Experience building or supporting machine learning or scientific computing workflows, with an understanding of how data, model execution, and evaluation connect.
  • PyTorch experience is required.
  • Experience running software on Linux.
  • Experience working with containers.
  • Experience delivering changes through automated testing and CI/CD.
  • Ability to structure ambiguous problems, work independently, and explain technical tradeoffs using evidence.
  • Willingness to contribute across automation, infrastructure, data, and machine learning.
  • Strong ownership and clear communication with scientists and engineers.
  • Ability to use AI development tools effectively while taking responsibility for the correctness and maintainability of the resulting code.
  • Experience with Kubernetes, cloud platforms, workflow orchestration, databases, or computational biology and chemistry is valuable.
  • A background in biology or chemistry is not required.

Beneficii

  • The posting does not specify benefits, perks, or additional compensation.

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