🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Note: The job is a remote job and is open to candidates in USA. Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Machine Learning Research Engineer will work on applying agent reinforcement learning algorithms to enterprise datasets, creating best-in-class agents that achieve state-of-the-art results.ResponsibilitiesTrain state of the art models, developed both internally and from the community, to deploy to our enterprise customersResearch cutting edge algorithms to integrate directly into our training stackBuild agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets including defining highly performant tools, multi-agent systems, and complex rewardsSkills1-3 years of building with LLMs in a production environmentExperience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etcPublications in top conferences such as NEURIPS, ICLR, or ICML within the last two yearsPhD or Masters in Computer Science or a related fieldBenefitsEquity based compensation, subject to Board of Director approvalComprehensive health, dental and vision coverageRetirement benefitsA learning and development stipendGenerous PTOA commuter stipendCompany OverviewScales mission is to develop reliable AI systems for the worlds most important decisions. It was founded in 2016, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://scale.com.Company H1B SponsorshipScale AI has a track record of offering H1B sponsorships, with 32 in 2026, 75 in 2025, 47 in 2024, 26 in 2023, 17 in 2022, 10 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To this Job .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.