Research Scientist / Research Engineer

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

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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