Research Member of Technical Staff- Deployment

About the role

We are seeking Applied Research Scientists and Research Engineers to join our team. This role involves working closely with customers and partners to adapt our foundation world models for specific applications and industry use cases. The position requires a blend of research and deployment skills, with opportunities to influence technical direction and contribute to foundational model development.

Responsibilities

• Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies
• Fine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraints
• Design and run targeted experiments to evaluate model performance against customer-defined success criteria
• Build application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environments
• Identify gaps between general-purpose model capabilities and the requirements of specific use cases, and drive research to close them
• Collaborate with the core research team to surface patterns and insights from customer deployments that inform foundational model development
• Communicate technical findings clearly to both technical and non-technical stakeholders

Requirements

Strong ML research and engineering skills with hands-on experience fine-tuning or adapting large models. Solid understanding of modern ML pipelines: pre-training, fine-tuning, evaluation, and deployment. Comfort working across teams — research, engineering, and customer-facing functions. Strong communication skills: ability to explain model behavior and tradeoffs to non-technical audiences. Experience in a customer-facing, applied research, or solutions engineering role.

Qualifications

• Staff-level candidates are expected to define technical direction and drive research strategy independently; senior/MTS candidates execute complex projects with strong fundamentals and growing scope

Skills

• Experience adapting foundation models (LLMs, VLMs, or policy models) to domain-specific applications
• Familiarity with one or more relevant verticals (e.g., logistics, manufacturing, warehouse automation, agriculture)
• Familiarity with inference optimization and runtime constraints (latency, memory, hardware targets) — sufficient to work alongside inference engineers, not own it
• Experience with sim-to-real transfer or adapting models trained in one environment to operate in another
• Hands-on experience with real robot deployments in production or near-production settings
• PhD or strong research background in ML, Robotics, or a related field

Benefits

This is a customer-facing role at the intersection of research and deployment. You will work directly with partners and end users to understand their needs, translate them into model adaptations, and deliver measurable improvements in real-world settings across industries like logistics, manufacturing, and beyond.

Pay

Competitive salary and benefits package based on experience and qualifications.

Schedule

Full-time, 40 hours per week.