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Machine Learning Scientist

Machine Learning Scientists develop and deploy machine learning models and systems that solve real-world problems, working with large datasets and modern ML frameworks to build everything from recommendation systems to generative models. The work typically involves researching algorithms, training and optimizing models in production environments, and iterating based on user feedback and performance metrics, often in close collaboration with engineers and product teams. The role suits analytically rigorous individuals with strong programming skills, experience in statistical methods and ML theory, and the ability to bridge research and applied systems.

Open Machine Learning Scientist roles (2)

Machine Learning Scientist

Spotter

Full-time · Culver City, CA · $167,000 – $185,000

This role builds machine learning systems that help YouTube creators optimize their content and business decisions, emphasizing production reinforcement learning, bandit algorithms, and recommendation systems. It's suited to experienced ML scientists who thrive shipping models to real users and iterating based on production feedback.

Listed on Spotter’s careers site · Apply there ↗

Apply for Machine Learning Scientist at Suno on their site

Machine Learning Scientist

Suno

Full-time · Boston, MA · $207,454 – $394,800

Suno is hiring a machine learning scientist to develop state-of-the-art generative models for their AI music platform, working closely with founders on research and deployment at scale. This role suits someone with deep experience training large models in distributed settings who wants early-stage impact on a rapidly growing consumer product.

Listed on Suno’s careers site · Apply there ↗

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