Job brief: Machine Learning Research Intern (Summer 2027)

What JoRoute checked · Checked by JoRoute

• Listed on Scale AI's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (3 days ago); last confirmed on the board 2026-11-07.
• The apply link opens job-boards.greenhouse.io, the address Scale AI's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $120,000 to $150,000 a year
• Job type: Not stated
• Where: New York, NY; San Francisco, CA · San Francisco, CA
• Posted: 2026-10-19

What the job asks · Employer's own words, not checked

Level: Internship. The title says "Intern".

Must have

• Required to Have
• 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;

Conditions

• We are developing a large-scale hybrid human-machine system to power machine learning pipelines for dozens of industry-leading customers.
• Research synthetic and hybrid data with humans in the loop to scale up high-quality data generation
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Main duties

• Scale's Machine Learning Research team builds the foundation for the next generation of AI systems — pushing the boundaries of what's possible with frontier …
• Develop new methods for training models to excel on extremely difficult reasoning problems that require long chains of thought
• Create post-training or agentic solutions that integrate into our ability to deliver applications for enterprise and public sector clients
• optimize for the whole
• Write the Market — our research puts us at the frontier, and we bring our partners there first

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Across Scale AI's 125 open listings, 72% of those with a posting date were first posted more than 60 days ago. How Scale AI hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

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1. Which of the listed places is this role based in?
2. What are the interview steps, and when should I expect to hear back?

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