Remote ML Engineer - 60735

what does day-to-day life look like?

• work with real-world ml codebases to support mle bench-style evaluation tasks.
• build, run, and modify model training, evaluation, and inference pipelines.
• prepare datasets, features, and metrics for ml benchmarking and validation.
• debug, refactor, and improve production-like ml systems for correctness and performance.
• evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.
• write clean, reproducible, and well-documented python code for ml workflows.
• participate in code reviews to ensure high standards of engineering quality.
• collaborate with researchers and engineers to design challenging, real-world ml engineering tasks for ai system evaluation.

requirements:

• minimum 3+ years of overall experience as a machine learning engineer or software engineer (ml-focused).
• strong proficiency in python for machine learning and data workflows.
• hands-on experience with model training, evaluation, and inference pipelines.
• solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization).
• experience working with ml frameworks (e.g., pytorch, tensorflow, jax, or similar).
• ability to understand, navigate, and modify complex, real-world ml codebases.
• experience writing readable, reusable, and maintainable production-quality code.
• strong problem-solving and debugging skills.
• excellent spoken and written english communication skills.

perks of freelancing with turing:

• work in a fully remote environment.
• opportunity to work on cutting-edge ai projects with leading llm companies.

offer details:

• commitments required: at least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with pst.
• engagement type: contractor assignment (no medical/paid leave)
• duration of contract: 3 months (adjustable based on engagement)