Own end-to-end development of machine learning solutions for business needs. About Turing: 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.
About the role
Own end-to-end development of machine learning solutions for business needs. About Turing:
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 ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus 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
Role Overview:
We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus.
What does day-to-day look like:
Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.
Translate business objectives into robust ML architectures that accurately capture business logic and context.
Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.
Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.
Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field .
4+ years of hands-on DS/ML development experience, …
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