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 atXinobi 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 PyTorch 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.