AI Research Engineer

Posted Yesterday
3 Locations
Hybrid
Entry level
Artificial Intelligence • Software
The Role
Research and develop novel AI models, algorithms, and systems; validate them through rigorous experiments and large-scale distributed training; and transition prototypes into production. The role involves deep learning, LLM pre-training and alignment, efficient GPU/TPU utilization, scientific analysis, technical writing, mentoring, code and paper reviews, open-source contributions, and end-to-end project ownership.
Summary Generated by Built In

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 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.

Skills Required

  • Advanced degree in computer science or machine learning, or equivalent hands-on experience
  • Proven track record of turning research ideas into robust, shipped production code
  • Fluency in deep learning, probabilistic modeling, reinforcement learning, or other advanced AI domains
  • Strong Python programming skills
  • Expertise with PyTorch or JAX
  • Experience with large-scale experimentation and distributed systems
  • Experience using GPUs or TPUs efficiently
  • Understanding of LLM pre-training, alignment, and evaluation techniques
  • Ability to design rigorous experiments and ablation studies
  • Strong written and verbal communication skills
  • Ability to own projects end-to-end in ambiguous, fast-changing environments
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The Company
9 Employees
Year Founded: 2024

What We Do

XinobiAI develops innovative AI agents and agent platforms for individuals, businesses, and local governments. Its mission is to help people and AI thrive together while transforming lifestyles, advancing business innovation, and reimagining public services. The company has global ambitions and says it brings together experienced AI engineers and executives to build applications that improve personal life, company operations, and government services.

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