3 months ago
Base Salary
$182k - $242k/yr
Responsibilities
- Generate and investigate research ideas addressing obstacles to continuous learning in production.
- Work with the OpenPipe team to validate research directions across real customer tasks.
- Train, evaluate, and deploy LLM and machine-learning models using substantial GPU compute.
- Contribute across the stack, including CUDA kernels, distributed training systems, and high-performance LLM tracing dashboards.
- Help shape the roadmap and priorities of a small, autonomous engineering team.
Requirements
- Bachelor's, master's, or PhD in computer science, machine learning, robotics, or a related technical field.
- At least 4 years of machine-learning experience focused on model training, or a PhD with at least 2 years of relevant industry experience.
- Strong programming skills in Python and hands-on experience with PyTorch or JAX.
- Strong understanding of LLM post-training techniques, including supervised fine-tuning, reinforcement learning, and on-policy distillation.
- Experience developing, evaluating, and deploying machine-learning models in production environments.
- Preferred qualifications include publications, open-source contributions, research impact in LLM post-training or agent learning, distributed training and GPU acceleration experience, and experience leading complex projects or mentoring engineers.
Benefits
- Medical, dental, and vision insurance fully paid by CoreWeave for US-based employees.
- Company-paid life insurance, voluntary supplemental life insurance, and short- and long-term disability insurance.
- Flexible Spending Account, Health Savings Account, tuition reimbursement, and eligibility to participate in the Employee Stock Purchase Program.
- Mental wellness benefits through Spring Health and family-forming support through Carrot.
- Paid parental leave, flexible full-service childcare support through Kinside, and a 401(k) with employer match.
- Flexible PTO, catered lunch at office and data center locations, and a casual work environment.
Tech Stack
Categories
AI ResearchML Engineering
About CoreWeave
CoreWeave provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.