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 its clients by accelerating frontier research through high-quality data, sophisticated training pipelines, and top-tier AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents. Additionally, Turing helps enterprises transform AI from proof of concept into proprietary intelligence by developing reliable systems that deliver measurable impact and drive lasting results on the P&L. The company’s innovative approach and commitment to excellence have positioned it at the forefront of AI research and deployment, making it a preferred partner for organizations seeking to harness 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 centered on real-world machine learning systems. This role involves working directly with production-grade ML codebases, developing and refining model training, evaluation, and inference pipelines, and deploying workflows that assess and enhance the capabilities of advanced AI systems. The ideal candidate will possess a strong ability to bridge research and engineering, working closely with models, data, and infrastructure within realistic ML environments. This position offers an exciting opportunity to engage with cutting-edge AI projects, ensuring the robustness, accuracy, and reliability of AI systems in practical applications.
Qualifications
The ideal candidate should have a minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML. Proficiency in Python is essential, particularly in developing data workflows, model training, and evaluation pipelines. Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX is required. Candidates must demonstrate a solid understanding of fundamental machine learning concepts, including supervised and unsupervised learning, evaluation metrics, and optimization techniques. Ability to navigate and modify complex, real-world ML codebases is crucial, along with a proven track record of writing clean, reusable, and maintainable production-quality code. Strong problem-solving, debugging skills, and excellent communication abilities in English are also necessary for success in this role.
Responsibilities
- Work with real-world ML codebases to support MLE Bench–style evaluation tasks, ensuring accurate benchmarking and validation.
- Build, run, and modify model training, evaluation, and inference pipelines to optimize performance and reliability.
- Prepare datasets, features, and metrics tailored for ML benchmarking and validation processes.
- Debug, refactor, and enhance production-like ML systems to improve correctness, efficiency, and robustness.
- Evaluate model behavior, identify failure modes, and analyze edge cases relevant to benchmark tasks.
- Write clean, well-documented Python code to facilitate reproducibility and collaboration within the team.
- Participate in code reviews to uphold high standards of engineering quality and best practices.
- Collaborate with researchers and engineers to design challenging ML engineering tasks that evaluate AI system capabilities in real-world scenarios.
Benefits
As a freelancer with Turing, you will have the opportunity to work remotely from anywhere, providing flexibility and work-life balance. You will engage with cutting-edge AI projects alongside leading LLM companies, gaining valuable experience and expanding your professional network. Additionally, Turing offers a flexible engagement model, allowing you to choose hours that fit your schedule, with a minimum commitment of 20 hours per week. This role provides an excellent platform for talented engineers to contribute to impactful AI research and deployment, all while enjoying the benefits of remote work and professional growth.
Equal Opportunity
Turing is committed to fostering an inclusive environment and is proud to be an equal opportunity employer. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse perspectives and backgrounds drive innovation and excellence, and we welcome applicants from all walks of life to join our team and contribute to our mission of advancing frontier AI research and deployment.
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