Remote Machine Learning Engineer - AI Systems Development

About the Role

We are seeking a Remote Machine Learning Engineer to join our dynamic team at Turing, a renowned research accelerator based in San Francisco, California. As a Machine Learning Engineer, you will 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 models.

What You'll Do

• Engage with real-world ML codebases to support model evaluation and benchmarking tasks aligned with MLE Bench standards.
• Design, implement, and optimize model training, evaluation, and inference pipelines to ensure robustness and efficiency.
• Prepare datasets, features, and metrics to facilitate comprehensive ML benchmarking and validation processes.
• Debug, refactor, and enhance production-like ML systems to improve correctness, performance, and scalability.
• Assess model behavior, identify failure modes, and analyze edge cases relevant to benchmarking objectives.
• Write clean, well-documented, and reproducible Python code for various ML workflows and pipelines.
• Participate in code reviews to uphold high engineering standards and share best practices across the team.
• Collaborate with researchers and engineers to develop challenging, real-world ML engineering tasks for system evaluation and improvement.

Requirements

• Minimum of three years of experience as a Machine Learning Engineer or Software Engineer with a focus on ML.
• Proficiency in Python is essential, along with hands-on experience in building, training, evaluating, and deploying machine learning models.
• Solid understanding of fundamental machine learning concepts such as supervised and unsupervised learning, evaluation metrics, and optimization techniques.
• Experience with popular ML frameworks like PyTorch, TensorFlow, or JAX is necessary.
• Demonstrate the ability to produce clean, reusable, and maintainable production-quality code.
• Strong problem-solving and debugging skills.
• Excellent communication skills in English, both written and spoken.

Nice to Have

• Experience with large language models.
• Familiarity with cloud platforms like AWS or Azure.
• Knowledge of containerization technologies such as Docker.

What We Offer

• Fully remote work environment, enabling you to work from anywhere.
• Opportunity to engage with innovative AI projects and collaborate with leading companies.
• Exposure to cutting-edge technologies and impactful AI solutions.
• Supportive community of talented professionals and ongoing learning opportunities.
• Chance to expand your expertise in a rapidly evolving field.

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 characteristic.