Website:
agilegridsolution.com
Job details:
About The Company
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two primary ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, and top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Turing’s innovative approach and cutting-edge technology make it a leader in the AI industry, enabling organizations worldwide to leverage the full potential of artificial intelligence.
About The Role
We are seeking experienced Machine Learning Engineers (MLE Bench) 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-oriented workflows. The primary goal is to assess and enhance the capabilities of advanced AI systems through rigorous testing and analysis. The ideal candidate will be adept at bridging research and engineering, working deeply with models, data, and infrastructure within realistic ML environments. This position offers the opportunity to work on challenging projects that push the boundaries of current AI technology, providing valuable insights into model behavior, failure modes, and edge cases to drive continuous improvement.
Qualifications
- Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer with a focus on ML.
- 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, 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 ability to write readable, reusable, and maintainable production-quality code.
- Strong problem-solving and debugging skills.
- Excellent spoken and written English communication skills.
Responsibilities
- Work with real-world ML codebases to support MLE Bench–style evaluation tasks, ensuring rigorous testing and validation of AI models.
- Build, run, and modify model training, evaluation, and inference pipelines to optimize performance and reliability.
- Prepare datasets, features, and metrics specifically tailored for benchmarking and validation purposes.
- Debug, refactor, and improve production-like ML systems to ensure correctness, efficiency, and scalability.
- Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks to inform system improvements.
- Write clean, reproducible, and well-documented Python code for various ML workflows, adhering to best practices.
- Participate in code reviews, providing constructive feedback to maintain high engineering standards.
- Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for comprehensive AI system evaluation.
Benefits
As a freelancer with Turing, you will enjoy the flexibility of working in a fully remote environment, allowing you to balance your professional and personal life effectively. You will have the opportunity to work on cutting-edge AI projects with leading LLM companies, gaining valuable experience and exposure to the latest advancements in artificial intelligence. Turing offers a dynamic and collaborative work environment, where your skills and contributions are valued and recognized. Additionally, you will be part of a global network of talented professionals, providing ample opportunities for growth and learning in the rapidly evolving AI landscape.
Equal Opportunity
Turing is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all applicants and employees regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability status, or any other characteristic protected by law. We believe that diverse perspectives and experiences drive innovation and excellence, and we are dedicated to creating a welcoming environment for all talented individuals.
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