remote
Applied ML Researcher - Mercor
Software Engineer
Lead the design and deployment of end‑to‑end machine learning pipelines for complex prediction tasks, leveraging Python, deep learning frameworks, and cloud infrastructure to deliver high‑impact AI solutions.
About the role
Key Responsibilities
- Design, implement, and production‑grade deploy machine learning models for challenging prediction and modeling problems.
- Analyze large, heterogeneous datasets to extract insights, engineer features, and define model requirements.
- Collaborate with cross‑functional teams to translate business objectives into technical specifications and evaluate model performance.
- Maintain reproducible research workflows using version control, containerization, and cloud services (AWS/GCP).
- Document findings, model assumptions, and deployment procedures for internal and external stakeholders.
Requirements
- Advanced proficiency in Python and experience with deep learning libraries such as TensorFlow or PyTorch.
- Strong background in statistical modeling, data analysis, and feature engineering.
- Hands‑on experience with SQL and relational databases.
- Familiarity with cloud platforms (AWS, GCP) and CI/CD pipelines for ML deployments.
- Excellent communication skills and ability to work independently in a fully remote setting.
Skills
pythonmachine learningdeep learningdata analysistensorflowsqlaws