Machine Learning Research Engineer, GenAI Applied ML jobs in United States
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Scale AI · 7 hours ago

Machine Learning Research Engineer, GenAI Applied ML

positionNYC Metro Area
timeFull-time
remoteHybrid
seniorityMid, Senior Level
money$176K/yr - $220K/yr
date3+ years exp

Scale AI is focused on developing reliable AI systems for critical decision-making and is seeking a Machine Learning Research Engineer to join their Applied ML team. The role involves leading the development of multi-agent systems for validating agentic reasoning, enhancing human judgment, and addressing real-world reliability issues in AI systems.

AI InfrastructureArtificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
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H1B Sponsor Likelynote

Responsibilities

Build and deploy multi-agent systems for agentic reasoning validation
Develop pipelines to detect errors and scale human judgment
Combine classical ML, LLMs, and multi-agent techniques for reliability
Lead research into agent failure modes and ship fixes
Use AI tools to speed prototyping and iteration
Build data-driven evaluations and deploy rapid improvements
Integrate systems into Scale's platform

Qualification

Machine LearningMulti-agent systemsPyTorchTensorFlowJAXScikit-learnAWSGCPData-driven iterationCross-functional communicationResearch depthPrototyping

Required

PhD or MSc in Computer Science, Mathematics, Statistics, or related field
3+ years shipping scaled production ML systems
Demonstrated real-world impact
Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
Deep expertise in agentic LLMs and multi-agent systems
Strong software engineering and microservices (AWS/GCP)
Rapid, data-driven iteration
Proficiency using AI tools to accelerate work
Strong research depth with practical bias
Excellent cross-functional communication

Preferred

Experience prototyping agent evaluation/reliability systems
Human-in-the-loop or annotation pipeline work
Open-source contributions in agents, evaluation, or alignment
Publications on agent reliability (NeurIPS, ICML, ICLR)

Benefits

Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend

Company

Scale AI

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Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
dateFounded in 2016
location
San Francisco, California, USA
people-size501-1000 employees
web-link
https://scale.com

H1B Sponsorship

Scale AI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (82)
2024 (54)
2023 (29)
2022 (17)
2021 (10)
2020 (10)

Funding

Current Stage
Late Stage
Total Funding
$15.9B
Key Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B

Leadership Team

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Jason Droege
Interim Chief Executive Officer
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Clemens Viernickel
Head of Product
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