Remote ML Engineer

Turing, headquartered in San Francisco, California, is a leading research accelerator for frontier AI laboratories and a trusted partner for global enterprises deploying advanced AI systems. The company supports its customers by accelerating cutting-edge research through high-quality data, sophisticated training pipelines, and top AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents. Additionally, Turing helps enterprises transition AI from proof of concept to proprietary intelligence, delivering reliable systems that generate measurable business impact and drive sustainable results.

We are seeking experienced Machine Learning Engineers to join our team and contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment workflows aimed at assessing and enhancing advanced AI system capabilities. The ideal candidate will be comfortable working at the intersection of research and engineering, engaging deeply with models, data, and infrastructure in realistic machine learning environments.

Key Responsibilities:
- Work directly 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 purposes.
- Debug, refactor, and optimize production-like ML systems to ensure correctness and improve performance.
- Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks.
- Write clean, reproducible, and well-documented Python code for various ML workflows.
- Participate in code reviews to maintain high engineering standards.
- Collaborate closely with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.

Required Qualifications:
- Minimum of 3 years of professional experience as a Machine Learning Engineer or Software Engineer with a focus on machine learning.
- Strong proficiency in Python for machine learning and data processing workflows.
- Hands-on experience with model training, evaluation, and inference pipelines.
- Solid understanding of machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and optimization techniques.
- Experience working with ML frameworks such as PyTorch, TensorFlow, JAX, or similar.
- Ability to understand, navigate, and modify complex, real-world ML codebases.
- Proven track record of writing readable, reusable, and maintainable production-quality code.
- Strong problem-solving and debugging skills.
- Excellent verbal and written communication skills in English.

Preferred Qualifications and Benefits:
- Fully remote work environment offering flexibility and autonomy.
- Opportunity to contribute to cutting-edge AI projects in collaboration with leading large language model (LLM) companies.
- Contractor engagement requiring a minimum commitment of 4 hours per day and at least 20 hours per week, with a 4-hour overlap aligned with Pacific Standard Time (PST).
- Initial contract duration of 3 months, with potential adjustments based on ongoing engagement.
- Note that this is a contractor role without medical or paid leave benefits.

Evaluation Process:
Candidates will undergo a technical interview featuring a live coding challenge lasting approximately 60 minutes.

This position offers a unique opportunity to work at the forefront of AI research and engineering, contributing to impactful projects that shape the future of intelligent systems.