Machine Learning Research Engineer, Agents - Enterprise GenAI

Scale AI
San Francisco, New York
Workplace: OnsiteFull timeUSD 218,400 - 273,000 annuallyFunction: Data Science & Machine LearningExperience: 1-3 yearsEducation: mastersSkills: ["Communication","Problem-solving"]

Role focuses on advancing enterprise GenAI through Agent ML research, training state-of-the-art models, and building agent systems using post-training methods. You’ll work on RL-based training stacks, multi-agent tools, and dataset hill-climbing with a strong emphasis on publishing and applying cutting-edge research to real-world enterprise datasets.

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FursaFursa
Scale AI
Scale AI
10 months ago

Machine Learning Research Engineer, Agents - Enterprise GenAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Role focuses on advancing enterprise GenAI through Agent ML research, training state-of-the-art models, and building agent systems using post-training methods. You’ll work on RL-based training stacks, multi-agent tools, and dataset hill-climbing with a strong emphasis on publishing and applying cutting-edge research to real-world enterprise datasets.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.
  • •Research cutting edge algorithms to integrate directly into our training stack.
  • •Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.
  • •Collaborate with enterprise clients to tailor agent capabilities and ensure alignment with client benchmarks.
  • •Define evaluation benchmarks and success criteria on real client datasets to demonstrate state-of-the-art performance.

Pay and Benefits

Salary: USD 218,400 - 273,000 annually
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetCommuter BenefitsPaid Leave

Key Requirements

  • •1-3 years of building with LLMs in a production environment
  • •Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO
  • •Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
  • •PhD or Masters in Computer Science or a related field
Experience:1-3 yearsAIGenAILLMs
Education:Master's in Computer Science
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:LLMsRLHFRLVRPPOGRPO

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn