AI Research Engineer

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.

You might thrive in this role if you: Hold an advanced degree in CS/ML—or equivalent hands-on experience. Have a proven track record of turning research ideas into robust, shipped production code. Are fluent in deep learning, probabilistic modeling, RL, or other advanced AI domains. Write clean, performant Python and know Py.

Torch or JAX inside out. Are comfortable with large-scale experimentation, distributed systems, and efficient GPU/TPU usage. Understand LLM pre-training, alignment, and evaluation techniques. Think scientifically, design airtight ablations, and draw clear conclusions. Communicate ideas crisply—both in code and in prose.

Thrive in ambiguous, fast-changing environments and enjoy owning projects end-to-end.