YOU’LL
Architect, scale, and optimize LLM post-training infrastructure tailored for reinforcement learning (RL) alongside with low-latency model inference services
Design and maintain robust job execution systems for large-scale distributed ML training and fine-tuning workloads
Build comprehensive, automated model evaluation frameworks to deliver rapid, reliable feedback signals to ML researchers
Ensure high availability, low latency, and fault tolerance across GPU clusters and distributed event streams
Collaborate cross-functionally with AI researchers, product leaders, and infrastructure teams to support evolving training and evaluation needs
YOU’LL HAVE
5+ years of experience in software engineering, with a focused background in ML infrastructure, distributed systems, or large-scale data platform engineering
Hands-on experience with PyTorch, model serving engines, and distributed training frameworks
Solid background in reinforcement learning (RL) post-training infrastructure, RLHF, or automated model evaluation pipelines
Proven ability to design and operate low-latency, high-throughput, and fault-tolerant distributed services at scale
Strong foundation in systems design, GPU cluster utilization, and performance tuning
Thrive in a fast-paced, high-ownership environment working closely with ML researchers
WHAT WE OFFER
We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
