Principal ML Engineer - Foundation Models for Discovery

Genentech

New York (NY)

Vor Ort

USD 193.000 - 358.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Genentech, part of Roche, seeks a Principal Machine Learning Engineer to lead the Foundation Models and AI4DD initiatives from New York. You will own the MLOps/AgentOps stack, architect autonomous agents, and scale production ML systems across biomedicine domains.

You will collaborate with ML scientists and data engineers to turn open-ended research into robust, ship-ready workflows, shaping the long-term engineering roadmap and elevating the bar across gRED and the broader Genentech AI

Qualifikationen

  • BS/MS/PhD in CS, ML, or a related field with extensive ML infra experience.
  • Strong Python and software engineering fundamentals.
  • Experience with large-scale ML systems and productionization.

Aufgaben

  • Own MLOps/AgentOps stack for foundation models.
  • Architect autonomous agents and manage memory/context.
  • Design scalable distributed training and inference systems.
  • Lead technical strategy for ML infra.
  • Translate scientific problems into ship-ready systems.

Kenntnisse

Python
PyTorch
JAX
Distributed systems
MLOps
Agent orchestration
LangGraph
MCP tools
Open source
AWS / HPC

Ausbildung

BS/MS/PhD in CS/ML or related field

Tools

Git
CI/CD
Docker
PyTorch tooling
AWS

Jobbeschreibung

Genentech, part of Roche, seeks a Principal Machine Learning Engineer to lead the Foundation Models and AI4DD initiatives from New York. You will own the MLOps/AgentOps stack, architect autonomous agents, and scale production ML systems across biomedicine domains.

You will collaborate with ML scientists and data engineers to turn open-ended research into robust, ship-ready workflows, shaping the long-term engineering roadmap and elevating the bar across gRED and the broader Genentech AI

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