Primeintellect
Research Engineer - Reinforcement Learning
San Francisco · Exec
Sponsorship not specified$150k-$350kDetected 15 days ago
Full-Stack DevelopmentDatabricksCI/CDDatadogMachine LearningMLOpsResearch
About the role
- The next generation of AI companies, enterprises, and research teams do not just need more GPUs.
Responsibilities
- Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution
- Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques.
- the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Requirements
- Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models.
- Deep expertise in distributed inference techniques and frameworks (e.g. vllm, sglang) for optimizing the performance and scalability of AI workloads.
Compensation
- Cash Compensation Range of $150-350k, including equity incentives, aligning your success with the growth and impact of Prime Intellect.
Benefits
- Cash Compensation Range of $150-350k, including equity incentives, aligning your success with the growth and impact of Prime Intellect.
- Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco.
- Quarterly team off-sites, hackathons, conferences and learning opportunities.
Company info
- Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers.
- Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models.
Visa & Work Authorization
- Visa sponsorship and relocation assistance for international candidates.
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This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.