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JazzX AI

Senior Staff AI Engineer

JazzX AI · San Francisco Bay Area

Posted about 3 months ago

or apply directly on JazzX AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
JazzX AI's roles stay open a median of 82 days
Reposted
No
Salary listed
No
0% of JazzX AI's roles list one
Ghost-job risk at JazzX AI
high
24 stale, 0 reposted of 29 open
Hiring momentum
39 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from JazzX AI's own greenhouse board since 2026-08-03. Full hiring picture for JazzX AI.

About this role

As a Staff AI Engineer at JazzX AI, you will lead the design and development of reinforcement learning (RL) systems that power enterprise AI solutions. Your role involves shaping the architecture for RL-driven models, collaborating with cross-functional teams, and mentoring junior engineers. You will also be responsible for ensuring that the RL systems are efficient, explainable, and safe, while driving innovation through the application of cutting-edge RL techniques.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of JazzX AI as an employer.

What you need

  • 10+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems
  • Demonstrated success in designing and deploying large-scale RL architectures in enterprise environments
  • Deep expertise in reinforcement learning algorithms, including on-policy (PPO, A3C) and off-policy (SAC, DDPG) methods
  • Practical experience with multi-agent reinforcement learning (MARL)
  • Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR) and GRPO-like policy optimization approaches
  • Experience with test-time compute optimization techniques

Nice to have

  • PhD in Computer Science, Machine Learning, Robotics, or related field
  • Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems
  • Contributions to open-source RL frameworks or publications in top-tier conferences
  • Background in safety, alignment, or explainability of RL agents

Worth weighing

  • The role involves working on complex, regulated, high-stakes enterprise problems
  • No salary or specific benefits mentioned in the posting
  • The position requires a strong focus on both research and practical application in production environments

Summarised from JazzX AI's posting. Read the full original.

Listed by JazzX AI on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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