Bespoke Labs · 17 hours ago
Research Engineer
Mountain View
Full-time
Hybrid
Mid, Senior LevelBespoke Labs is an applied AI research lab pioneering data and RL environment curation for training and evaluating agents. The Research Engineer role involves bridging research with production-scale development and deployment of RL environments, collaborating with labs and enterprise customers to create systematic environment solutions.
Computer Software
Responsibilities
Partner with frontier AI labs to understand their agent training needs and design custom environments
Stay current with latest research in RL, agent training, and evaluation methodologies
Prototype novel approaches to environment generation, curriculum design, and data curation
Translate academic insights into practical engineering solutions
Build and maintain scalable systems for creating, validating, and deploying RL environments
Develop systematic approaches to data curation that ensure quality and diversity
Create automated quality assurance pipelines for environment verification
Design evaluation frameworks that measure environment effectiveness
Work directly with enterprise customers to understand their specific agent training challenges
Customize environment suites and benchmarks for different use cases and domains
Provide technical guidance on best practices for agent training and evaluation
Present research findings and product capabilities to technical stakeholders
Scale research prototypes into production-ready systems that handle large-scale deployment
Establish reproducible workflows and maintain high engineering standards
Create documentation and tools that enable both internal teams and external users
Monitor and optimize system performance as we scale environment production
Qualification
Required
MS or PhD in Machine Learning, Computer Science, or related field, OR equivalent industry research experience
Track record of research contributions (publications, open-source projects, or deployed research systems)
Deep understanding of reinforcement learning, agent training, or related areas
Ability to read and implement ideas from recent papers
Strong Python skills and experience with ML frameworks (PyTorch, JAX, or similar)
Experience building production systems or research infrastructure at scale
Proficiency with cloud platforms (GCP, AWS) and distributed computing
Systematic approach to testing, validation, and quality assurance
Ability to use modern tools such as Claude Code effectively
Excellent communication skills for working with research teams and enterprise customers
Experience translating between research concepts and practical requirements
Ability to scope projects, set priorities, and deliver on commitments
Comfortable presenting technical work to diverse audiences
Understanding of what makes research artifacts valuable to users
Experience shipping products, datasets, or tools used by others
Attention to detail in documentation, usability, and user experience
Customer-focused approach to problem-solving
Preferred
Hands-on experience with RL agent training or evaluation systems
Background in data-centric AI, synthetic data generation, or dataset creation
Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, etc.)
Previous experience in a research engineering or applied scientist role
Contributions to widely-used datasets, benchmarks, or evaluation suites
Benefits
Health coverage
The opportunity to work directly with the world's leading AI research labs
Company
Bespoke Labs
RL for Agents
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase