S
Scale AI
Machine Learning Research Engineer (Agent Data Foundation, Enterprise GenAI)
Skills
Machine LearningAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$180,600 – $315,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- The Enterprise ML Research Lab works on the front lines of this AI revolution
- We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients
- As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move
- This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set
- This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms
- Build synthetic data pipelines to generate enterprise environments to use for RL post-training
- Create agents to convert traces from production into actionable insights to use to improve agents
- Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
- Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers
Benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
- 3+ years of building with LLMs in a production environment
- Clear experiences with constructing high quality data to use to improve an LLM/Agent
- PhD or Masters in Computer Science or a related field
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