Senior Staff AI Engineer at JazzX AI
San Francisco, CA
$207,000–$290,000from the description
Jul 20, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role focused on designing and building reinforcement learning systems for an enterprise AI platform, with an emphasis on lending and due-diligence workflows. Day-to-day work spans RL architecture, distributed training infrastructure, multi-agent frameworks, and bridging research into production deployments. Suited to a seasoned ML engineer with substantial hands-on RL experience who can also mentor others and collaborate across product and engineering teams.
Staff level · 10+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 35 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 7–60
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The title is 'Senior Staff Architect' — a hybrid of Staff-level technical leadership and architecture scope. The requirements (10+ years total, 5+ years RL specialization, org-wide architectural authority, mentorship, cross-functional strategy) support Staff rather than Senior; the role is explicitly framed as setting architectural direction across the platform, not just owning a single component.
SOC classification is Medium confidence: the role is deeply research-oriented (RL algorithms, LLM fine-tuning, novel techniques) pointing to 15-2051 Data Scientists, but the emphasis on production systems, distributed infrastructure, and software engineering skills also makes 15-1252 Software Developers a credible alternative.
The posting is headquartered in Los Altos, CA (San Jose-Sunnyvale-Santa Clara CBSA). Flexible working arrangements are mentioned but full remote is not explicitly offered, so remote is set to false.
A PhD is listed under Preferred Qualifications, so the degree requirement is set to None (not a hard gate).
PPO and A3C are listed together as on-policy examples; SAC and DDPG as off-policy examples — each pair is emitted as one skill with the alternative, reflecting the JD's 'including' framing.
Simulation frameworks (OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo) are listed as interchangeable examples under a required qualification; OpenAI Gym is used as the primary with the others as alternatives.
PyTorch, TensorFlow, JAX, and Ray RLlib are listed as equivalent ML framework options; PyTorch is used as the primary with the others as alternatives.
'Open-source RL contributions or publications' appears under Preferred Qualifications — listed as preferred accordingly.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Multi-Agent Reinforcement Learning, open-source RL contributions.
Read the full posting
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