AI Research Engineer

Xinobi AI • San Francisco, CA

2d

About The Position

In this role, you will: Innovate and Deploy: Push the frontier of AI by proposing and validating novel models, algorithms, and AI systems, then work with engineers to turn research prototypes into production-ready systems at Xinobi AI. Collaborate with the Best: Co-author internal tech reports, partner with engineers and PMs, and shape research roadmaps in a fast, open, idea-driven team. Optimize and Scale: Design rigorous experiments, run massive training jobs on distributed hardware, and squeeze every bit of performance from compute and data. Learn and Lead: Stay on top of the latest literature, mentor junior researchers, run reading groups, and hold code/paper reviews to keep standards high. Make a Difference: Open-source and deploy models that advance the field and create real-world impact—tracking them post-launch to ensure lasting value.

Requirements

• Advanced degree in CS/ML or equivalent hands-on experience.
• Proven track record of turning research ideas into robust, shipped production code.
• Fluent in deep learning, probabilistic modeling, RL, or other advanced AI domains.
• Clean, performant Python and PyTorch or JAX proficiency.
• Comfortable with large-scale experimentation, distributed systems, and efficient GPU/TPU usage.
• Understanding of LLM pre-training, alignment, and evaluation techniques.
• Scientific thinking, ability to design airtight ablations, and draw clear conclusions.
• Ability to communicate ideas crisply—both in code and in prose.
• Thrive in ambiguous, fast-changing environments.
• Enjoy owning projects end-to-end.

Responsibilities

• Propose and validate novel models, algorithms, and AI systems.
• Turn research prototypes into production-ready systems.
• Co-author internal tech reports.
• Partner with engineers and PMs.
• Shape research roadmaps.
• Design rigorous experiments.
• Run massive training jobs on distributed hardware.
• Optimize performance from compute and data.
• Stay on top of the latest literature.
• Mentor junior researchers.
• Run reading groups.
• Hold code/paper reviews.
• Open-source and deploy models.
• Track models post-launch to ensure lasting value.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior