JazzX AI
Senior Staff AI Engineer
Los Altos, California, · Staff+
Sponsorship not specifiedDetected 50 days ago
PythonJavaC++AlgorithmsKubernetesPlatform EngineeringMachine LearningTensorFlowPyTorchNLPLLMsA/B TestingRoboticsResearchLeadershipCommunicationCollaborationMentoring
About the role
- We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect.
- In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL-driven AI reasoning models and systems that power next-generation enterprise AGI platform.
- Ultimately, your work will be critical in bridging research and production, ensuring that the latest RL advancements translate into reliable, impactful, and enterprise-ready AI solutions.
Responsibilities
- Scalability & Infrastructure: Design distributed training systems, leverage cloud-native infrastructure, and optimize for performance, reproducibility, and cost-efficiency.
- review designs and code with a focus on scalability, robustness, and clarity.
- Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems.
- Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity.
- From here, we're building the backbone for enterprise intelligence across industries.
- JazzX AI is defining the future of enterprise work-by building AI-native digital workers that actually get the job done.
- What draws people to JazzX AI is the opportunity to build something truly foundational.
- At JazzX AI, you'll help build a platform that redefines how work happens in the AGI era.
- If you're motivated by building systems that matter - systems that combine intelligence with responsibility - JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Requirements
- Experience with test-time compute optimization techniques, including inference-time search, chain-of-thought reasoning, and adaptive computation strategies for improving model performance during deployment.
- Advanced software engineering skills in Python, C++, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib.
- Hands-on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms).
Nice to have
- 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 (NeurIPS, AISTATS, ICML, ICLR, AAAI).
- Background in safety, alignment, or explainability of RL agents.
- Why Join JazzX AI:
- This is not about experimenting with AI features
- it's about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale.
- The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
- Headquartered in Los Altos, CA.
Skills
- Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in deployed RL models.
Compensation
- SAIGroup's portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world en
Benefits
- Vision: Enterprises operating on institutional intelligence-governed, self-improving, and scalable beyond individual expertise.
- JazzX AI brings together vision, deep technology, and purpose.
- Architecture & Design: Define and drive the end-to-end architecture for reinforcement learning-based systems, including training pipelines, simulation environments, reward shaping, and model serving.
Company info
- https://www.linkedin.com/company/jazzx-ai
- We are at the beginning of a new era - one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them.
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This listing is sourced directly from JazzX AI's careers page and normalized into a canonical job model.