Research Scientist / Research Engineer

Accountabilities:

You will contribute to the design and development of adaptive machine learning systems that continuously learn from real-time feedback and product signals. Your work will span algorithm innovation, system optimization, and close collaboration with cross-functional teams to ensure research translates into measurable product impact.

• Innovate on model and system design to enable real-time learning and adaptive AI behavior


• Co-design algorithms that integrate user feedback and product signals to improve performance


• Develop new approaches for collecting, shaping, and leveraging synthetic and real-world data


• Collaborate across software, hardware, and research teams to optimize full-stack system efficiency


• Define and evaluate meaningful metrics tied to real-world impact and user value


• Translate research ideas into production-ready systems and scalable solutions

Requirements

You are expected to bring strong academic and industry research experience in machine learning, along with a systems-oriented mindset and hands-on engineering skills. The ideal candidate is comfortable working across the full ML stack and contributing to both theoretical and applied advancements.

• PhD or equivalent research experience in computer science or a related field


• 4–5+ years of industry experience in machine learning or AI research


• Deep expertise in at least one area such as model efficiency, real-time alignment, or algorithmic optimization


• Strong systems thinking and ability to optimize across the full machine learning pipeline


• Proficiency in Python and experience with frameworks such as PyTorch, JAX, or TensorFlow


• Knowledge of optimization techniques including reinforcement learning from human feedback and fine-tuning methods


• Experience working in large-scale industrial or research lab environments


• Strong collaboration skills, adaptability, and a willingness to experiment with bold ideas

Benefits:

• Flexible work arrangements including global remote work and optional in-person collaboration in the Bay Area


• Team offsites designed to strengthen collaboration and innovation


• Annual travel stipend to explore new countries and expand global perspective


• Weekly meal or grocery delivery stipend


• Comprehensive medical coverage and generous paid time off


• Opportunity to work on frontier AI systems with high real-world impact

This listing is from ats_lever. View original listing ↗