# AI/ML Research Engineer (AI Research) — Hanzo Careers

> Work on foundational models, fine-tuning, and novel architectures. Experience with transformers, RLHF, and distributed training required. Join the Hanzo team building the open AI cloud.

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AI ResearchRemote / SFFull-time

# AI/ML Research Engineer

Work on foundational models, fine-tuning, and novel architectures. Experience with transformers, RLHF, and distributed training required.

[Apply for this position](#apply)[Email resume directly](mailto:careers@hanzo.ai?subject=Application%3A%20AI%2FML%20Research%20Engineer)

## About the Role

As an AI/ML Research Engineer at Hanzo, you will work on the core intelligence layer powering the Hanzo open cloud. You will train, fine-tune, and optimize frontier models, explore reinforcement learning with human & AI feedback (RLHF/RLAIF), and develop next-generation reasoning architectures.

Hanzo builds an open AI cloud — compilers, models, distributed infrastructure, and agent tooling. Our codebases are predominantly open source, and team members operate with high autonomy and end-to-end ownership.

## Key Responsibilities

Train and fine-tune foundation models across text, code, multimodal, and agentic workflows.

Design and execute large-scale distributed training runs across GPU clusters using PyTorch, DeepSpeed, and Megatron.

Develop novel evaluation harnesses and benchmarks to assess model reasoning, tool use, and safety.

Collaborate with the inference and compiler teams to quantize, optimize, and deploy models to production.

Publish open source weights, research papers, and reproducible training recipes.

## What We're Looking For

Deep understanding of transformer architectures, attention mechanisms, and modern LLM pre-training / post-training techniques.

Hands-on experience with PyTorch, distributed training frameworks (FSDP, DeepSpeed, Ray), and GPU performance profiling.

Demonstrated track record of shipping ML models to production or high-quality open-source / published research contributions.

Strong systems fundamentals: concurrency, networking, and memory efficiency.

## Nice to Have

Experience with synthetic data generation, agentic reasoning loops (MCTS, ReAct), or tool-calling tuning.

Familiarity with Triton, CUDA kernel development, or custom model quantization formats.

## Why Join Hanzo

Remote-first cultureDistributed globally. We value outcomes over hours spent at a desk.

Public, open-source outputShip work that developers worldwide inspect, clone, and build on.

High agency & ownershipDirect access to leadership and the autonomy to build whole systems.

## Apply for this Role

Submit your information below to be directly reviewed by our team.Full Name *

Email Address *

GitHub / Portfolio URL

LinkedIn / Personal Site

Location / Timezone

Background & Notes *

Submit Application

Prefer email? Send your resume to [careers@hanzo.ai](mailto:careers@hanzo.ai?subject=Application%3A%20AI%2FML%20Research%20Engineer)