mercor
Machine Learning Engineer
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada16 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Role Responsibilities
- Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
- Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
- Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
- Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
QualificationsMust-Have
- 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
- Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
- Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
- Strong written communication skills and the ability to explain technical decisions clearly.
Preferred
- Prior experience with data annotation, labeling, evaluation, or human feedback collection.
- Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.
Application Process (Takes 20–30 mins to complete)
- 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: [email protected]
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