Website:
fetchjobs.co
Job details:
About The Company
Turing is a pioneering research accelerator based in San Francisco, California, dedicated to advancing the frontiers of artificial intelligence. As a trusted partner for global enterprises, Turing specializes in deploying cutting-edge AI systems that transform business operations and drive innovation. The company supports its clients by accelerating frontier research through high-quality data, sophisticated training pipelines, and a team of top-tier AI researchers with expertise spanning coding, reasoning, STEM disciplines, multilinguality, multimodality, and autonomous agents. Turing’s mission is to bridge the gap between AI research and real-world application, ensuring that advanced AI systems are reliable, impactful, and capable of delivering measurable results that enhance the bottom line.
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 engaging with production-grade ML codebases, developing and refining model training and evaluation 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 deeply with models, data, and infrastructure within realistic machine learning environments. This position offers an exciting opportunity to work on challenging projects that push the boundaries of AI technology while collaborating closely with research and engineering teams to develop robust evaluation frameworks.
Qualifications
- A minimum of 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML.
- Proficiency in Python, particularly for machine learning workflows and data processing.
- Hands-on experience with model training, evaluation, and inference pipelines.
- Strong understanding of machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and optimization techniques.
- Experience working with popular ML frameworks such as PyTorch, TensorFlow, or JAX.
- Ability to comprehend, navigate, and modify complex, real-world ML codebases.
- Proven ability to write clean, reusable, and maintainable production-quality code.
- Excellent problem-solving and debugging skills, with a keen eye for detail.
- Strong communication skills, both spoken and written, in English.
Responsibilities
- Support ML benchmark evaluation tasks by working with real-world ML codebases and datasets.
- Develop, modify, and optimize model training, evaluation, and inference pipelines to ensure robustness and efficiency.
- Prepare datasets, features, and metrics tailored for benchmarking and validation purposes.
- Debug and refactor production-like ML systems to improve correctness, performance, and scalability.
- Assess model behavior, identify failure modes, and analyze edge cases pertinent to benchmark tasks.
- Write clear, reproducible, and well-documented Python code to support ML workflows and evaluation processes.
- Participate in code reviews to uphold high standards of engineering quality and best practices.
- Collaborate with research and engineering teams to design challenging, real-world ML engineering tasks for comprehensive AI system evaluation.
Benefits
- Opportunity to work remotely from anywhere, providing flexibility and work-life balance.
- Engage in cutting-edge AI projects with leading companies specializing in large language models and advanced AI systems.
- Gain exposure to innovative research and practical applications in the AI domain.
- Collaborate with a global network of talented professionals dedicated to pushing AI boundaries.
- Participate in a dynamic and supportive work environment that fosters continuous learning and development.
Equal Opportunity
Turing is committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable laws. We believe diversity enriches our community and drives innovation, and we welcome candidates from all backgrounds to apply.
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