Senior ML Engineer - Robotics Infra & Production AI

Empathy Talent; New York (NY); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

Empathy Talent in New York City is assembling a rapid-iteration, production-grade ML infrastructure team to power autonomous robotics and physical AI applications. The role focuses on building scalable data platforms and training systems for multimodal datasets, with close collaboration from ML researchers and robotics engineers.

The team aims for high availability, efficiency, and real-world impact, operating in a fast-paced startup environment where ownership and technical excellence are

Qualifications

• Experience designing and operating large-scale data platforms (PB-scale preferred).
• Background building distributed ML training or inference systems.
• Experience with streaming, real-time data processing, and event-driven architectures.
• Comfortable owning infrastructure in a fast-moving startup environment with significant autonomy.
• Passion for solving complex engineering problems and building technology that operates in the physical world.
• Excited about robotics, automation, and applied AI.

Responsibilities

• Own and scale ML infra and data platform.
• Design systems for petabyte-scale multimodal data for training.
• Build distributed training infra, experiment tracking, and compute clusters.
• Develop high-performance pipelines for video and sensor data.
• Collaborate with ML researchers and robotics engineers to accelerate experiments.
• Ensure reliability, scalability and availability of ML infrastructure.

Skills

PB-scale data platforms

Distributed ML training

Streaming data

Real-time processing

Startup autonomy

Robotics/AI enthusiasm

Job description

Empathy Talent in New York City is assembling a rapid-iteration, production-grade ML infrastructure team to power autonomous robotics and physical AI applications. The role focuses on building scalable data platforms and training systems for multimodal datasets, with close collaboration from ML researchers and robotics engineers.

The team aims for high availability, efficiency, and real-world impact, operating in a fast-paced startup environment where ownership and technical excellence are