Senior ML Research Scientist, Agents & Prototyping

Scale

San Francisco, Seattle, New York (CA, WA, NY)

In loco

USD 302.000 - 378.000

Tempo pieno

14 giorni+

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Comprehensive health
Dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
commuter stipend

Descrizione del lavoro

Scale is seeking a Senior / Staff Machine Learning Research Scientist focused on Agents in San Francisco. You will prototype and scale ML models, work with LLMs, and translate research into production-ready systems. Strong publication history and cross-functional collaboration are essential.

The role emphasizes hands-on prototyping, cloud-enabled experimentation, and collaboration with the ACE team to advance agent-based AI capabilities at Scale.

Competenze

  • Published research in top ML venues (ACL, EMNLP, NeurIPS, ICML, ICLR, etc.).
  • At least three years addressing sophisticated ML problems in research or product settings.
  • Strong written and verbal communication and cross-functional collaboration.

Mansioni

  • Prototype and validate novel ML approaches for autonomous agents and LLMs.
  • Collaborate with product, research, and engineering teams to ship practical ML systems.
  • Interpret research literature and convert ideas into prototypes.

Conoscenze

LLM experience
Cross-functional communication
Research experience

Strumenti

PyTorch
Jax
TensorFlow
OpenHands
Swarm
LangGraph

Descrizione del lavoro

Scale is seeking a Senior / Staff Machine Learning Research Scientist focused on Agents in San Francisco. You will prototype and scale ML models, work with LLMs, and translate research into production-ready systems. Strong publication history and cross-functional collaboration are essential.

The role emphasizes hands-on prototyping, cloud-enabled experimentation, and collaboration with the ACE team to advance agent-based AI capabilities at Scale.

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