Senior Applied Research Engineer

About the role

The OpenPipe team at CoreWeave is building tools to help agents learn from experience. This is a critical step to make agents reliable enough to perform long tasks autonomously, in the same way human employees are. We're systematically identifying and solving the major bottlenecks between today's tech and those future self-improving agents.

Responsibilities

• Generate and investigate research ideas towards solving the remaining obstacles to continuous learning in production.
• Work with the broader OpenPipe team to validate these research directions across real customer tasks.
• Utilize the latest tools and frameworks to develop and deploy machine learning models in production environments.
• Collaborate with the team to optimize and improve the performance of existing models.
• Stay updated with the latest research trends and technologies in the field of machine learning and artificial intelligence.

Requirements

• Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field.
• 4+ years of experience in machine learning, or a PhD with 2+ years of relevant industry experience, with a strong focus on model training.
• Strong programming skills in Python and hands-on experience with modern ML frameworks such as 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.
• Strong research and problem-solving skills, with the ability to work effectively in ambiguous, fast-moving environments.

Qualifications

• Preferred Publications, open source contributions, or demonstrated research impact in LLM post-training or agent learning.
• Experience with distributed training, GPU acceleration, and large-scale model training systems.
• Experience leading technically complex projects or mentoring other engineers.

Skills

• Expertise in machine learning algorithms and techniques.
• Knowledge of LLMs and their applications.
• Experience with distributed computing and cloud services.
• Ability to work independently and manage multiple projects simultaneously.

Benefits

• Base salary range: $182,000 to $242,000.
• Discretionary bonus.
• Equity awards.
• A comprehensive benefits program including medical, dental, and vision insurance, life insurance, disability insurance, and retirement plans.
• Flexible PTO.
• Catered lunch each day in our office and data center locations.
• A casual work environment.

Pay

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

Schedule

We are flexible with our working hours and provide a casual work environment.