MACHINE LEARNING ENGINEER

Gerra Group; San Francisco (CA); On-site; USD 210,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Substantial equity grants

Health, dental, and vision coverage

Unlimited PTO

Home office budget

Weekly team dinners

Job summary

Gerra Group, located in San Francisco, is seeking an experienced ML Engineer to build systems that enhance training data for physical AI. You'll develop ML pipelines, computer vision systems, and collaborate with customers to optimize their ML training requirements.

The ideal candidate will have over 4 years of experience in ML engineering and a strong background in computer vision. The position offers a competitive salary of $210K - $300K plus equity and comprehensive benefits.

Qualifications

• 4+ years of experience in ML engineering or applied research.
• Strong background in computer vision (pose estimation, detection, segmentation).
• Experience deploying ML models to production at scale.
• Proficiency in Python and PyTorch or TensorFlow.

Responsibilities

• Build ML pipelines for automated data quality assessment and filtering.
• Develop computer vision systems for pose estimation, object detection, and scene understanding.
• Create synthetic data generation pipelines to augment real‑world datasets.
• Optimize ML inference for real‑time processing of multi‑modal sensor data.
• Design evaluation frameworks to measure data quality and model performance.

Skills

ML engineering

Computer vision

Python

PyTorch

TensorFlow

ML infrastructure

Software engineering fundamentals

Job description

Build ML systems that process, validate, and enhance training data for physical AI at unprecedented scale.

COMPENSATION $210K - $300K + 0.15% - 0.45% EQUITY

About the Role

Training data quality is the bottleneck for physical AI. We are building ML systems that automatically process, validate, and enhance robotics datasets at massive scale. You will work on problems at the intersection of computer vision, robotics, and large‑scale ML infrastructure. Your work will directly impact how quickly the world's best robotics teams can train and deploy their models.

What You Will Do

• Build ML pipelines for automated data quality assessment and filtering
• Develop computer vision systems for pose estimation, object detection, and scene understanding
• Create synthetic data generation pipelines to augment real‑world datasets
• Optimize ML inference for real‑time processing of multi‑modal sensor data
• Design evaluation frameworks to measure data quality and model performance
• Collaborate with customers to understand their ML training requirements

What We Are Looking For

• 4+ years of experience in ML engineering or applied research
• Strong background in computer vision (pose estimation, detection, segmentation)
• Experience deploying ML models to production at scale
• Proficiency in Python and PyTorch or TensorFlow
• Familiarity with ML infrastructure (training pipelines, model serving, GPUs)
• Strong software engineering fundamentals

Nice to Have

• Experience with robotics, embodied AI, or imitation learning
• Publications in top ML/CV venues
• Experience with 3D vision or multi‑modal learning
• Background in video understanding or temporal models

Benefits

• Competitive salary at the top of market
• Substantial equity grants with regular refresh
• Comprehensive health, dental, and vision coverage
• Unlimited PTO with genuine expectation to use it
• Home office budget and top‑tier equipment
• Weekly team dinners and quarterly offsites