Senior ML Engineer: Scale Real-Time ML Infra & Data

Ultra; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Ultra is seeking a Senior Machine Learning Engineer to join our NYC-based team and own our ML infrastructure and data systems. This role focuses on building a scalable data platform to ingest and serve multimodal data for training neural network policies, with end-to-end responsibility for distributed training, experiment tracking, and cluster management.

You will collaborate with the research team to design and run experiments as we rapidly improve our policies, while maintaining high

Qualifications

• Experience building and operating large-scale data systems (PB+ scale).
• Experience with real-time processing and streaming systems.
• Experience building deep learning training and inference systems at scale.
• Ability to thrive in a high-trust, autonomous work environment.

Responsibilities

• Own our data platform and scale it to ingest large amounts of video streams for real-time training.
• Own our ML infrastructure stack end-to-end, including distributed training, experiment tracking, and cluster management.
• Build out data management systems and high-performance data access layers on top of PB+ scale multimodal data.
• Collaborate with researchers to design and run experiments as policies improve.
• Maintain high availability and reliability of critical infrastructure.

Skills

Large-scale data systems

Real-time streaming

DL training at scale

Autonomy & high-trust

Job description

Ultra is seeking a Senior Machine Learning Engineer to join our NYC-based team and own our ML infrastructure and data systems. This role focuses on building a scalable data platform to ingest and serve multimodal data for training neural network policies, with end-to-end responsibility for distributed training, experiment tracking, and cluster management.

You will collaborate with the research team to design and run experiments as we rapidly improve our policies, while maintaining high