remote
ML Research Engineer - PhD - AI Trainer - Mercor
Research Engineer
PhD-level ML Research Engineer tasked with designing, executing, and baselining open‑ended machine learning experiments under strict compute budgets, delivering high‑quality annotated datasets and actionable insights for cutting‑edge AI research.
About the role
Key Responsibilities
- Design and implement novel machine learning experiments to address open‑ended research questions.
- Execute experiments within predefined compute and time constraints, optimizing resource usage.
- Collect, curate, and annotate data to create high‑quality baselines for model training.
- Analyze results, generate detailed reports, and present findings to research teams.
- Collaborate with cross‑functional teams to refine research objectives and methodologies.
Requirements
- PhD in Computer Science, Machine Learning, or related field.
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Proven track record of conducting independent research and publishing results.
- Excellent analytical, problem‑solving, and communication skills.
- Ability to work independently in a remote, contract‑based environment.
Skills
pythonmachine learning