Mercor logo
Mercor

Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

ML Research Engineer

Research EngineerResearch EngineerPart TimeRemoteMid LevelH1B No Sponsor

Location

Worldwide

Posted

13 days ago

Salary

$75 - $90 / hour

Seniority

Mid Level

Job Description

ML Research Engineer

Mercor

Role Description Mercor connects elite creative and technical talent with leading AI research labs. The position is for a Human Baseliner for Open-Ended ML Research Tasks. - Attempt open-ended machine learning research tasks under a fixed time and compute budget. - Work independently in a sandboxed Linux environment with internet access. - Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT. - Record full working sessions via screen recording. - Complete pre-task and post-task questionnaires. - Submit final work product, screen recording, and completed questionnaires for evaluation. Qualifications - 3+ years of machine learning experience. Time in a PhD program counts. - Attended a top-100 university or worked at FAANG or a comparable company. - Experience with PyTorch, JAX, or TensorFlow. - Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines. Requirements - Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture. - One baseline attempt per contractor per task. - Each task may only be attempted once. - All work is confidential and covered by NDA. - Compute and environment are provided; no personal GPU required. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Yale University is a prestigious, private, Ivy League research institution with roots dating back to the 17th century. Officially founded as Yale College in 171

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Full TimeRemoteTeam 201-500Since 2018H1B No Sponsor

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