Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI

Scale AI
San Francisco, New York, Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Senior/Staff Machine Learning Engineer on Scale's General Agents team designs, builds, and deploys production-ready AI agents for enterprise use cases. You’ll work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging advanced agentic techniques with real customer constraints in a scalable, observable, production environment.

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FursaFursa
Scale AI
Scale AI
6 months ago

Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Senior/Staff Machine Learning Engineer on Scale's General Agents team designs, builds, and deploys production-ready AI agents for enterprise use cases. You’ll work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging advanced agentic techniques with real customer constraints in a scalable, observable, production environment.
Location: San Francisco, New York, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
  • •Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
  • •Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
  • •Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
  • •Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendPaid LeaveCommuter Benefits

Key Requirements

  • •5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
  • •Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
  • •Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
  • •Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
  • •Experience building systems that integrate models with external tools, APIs, databases, and services.
Experience:5+ yearsEnterprise AIGenerative AILLMs
Education:Bachelor's in Computer Science
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonLLMsOpenAI APIsTool callingMulti-agent systemsDatabasesAPIs

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