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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 ↗

Machine Learning Scientist

Suno

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

Suno, an AI music platform, seeks an experienced machine learning scientist to help develop state-of-the-art generative models for music creation at scale. This role suits researchers with deep expertise in distributed training, large model development, and end-to-end project ownership who want to shape a rapidly growing entertainment platform.

Listed on Suno’s careers site · Apply there ↗

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