Senior / Staff Machine Learning Research Scientist, Agents

Scale; San Francisco, Seattle, New York (CA, WA, NY); Presencial; USD 302.000 - 378.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive health

Dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

commuter stipend

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

LLM experience

Cross-functional communication

Research experience

Herramientas

PyTorch

Jax

TensorFlow

OpenHands

Swarm

LangGraph

Descripción del empleo

Senior / Staff Machine Learning Research Scientist, Agents

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About the ACE team

About This Role

Ideally you’d have:

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally.

Nice to have:

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

You’ll also receive benefits including, but not limited to:

• comprehensive health
• dental and vision coverage
• retirement benefits
• a learning and development stipend
• generous PTO

Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$302,400 - $378,000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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