Sr. Computer Vision / Machine Learning Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Series A From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Computer Vision / Machine Learning Engineer Mountain View, CA | Hybrid | Remote ABOUT THE COMPANY Every physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts. We're Corvus Robotics https://www.corvus-robotics.com/. Our fully autonomous Corvus One https://blog.corvus-robotics.com/corvus-one-launch-and-series-a-funding™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity. ABOUT THE ROLE We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities. WHAT YOU'LL DO - Develop solutions for advanced computer vision tasks, including: - Monocular and stereo depth estimation - Learning-based structure-from-motion - 3D occupancy networks - Scene understanding - Object detection - Optimize performance, accuracy, and speed of compute-constrained models - Collaborate across teams to deploy CV/ML models into production - Improve ML pipelines and infrastructure for dataset management, training, and deployment - Participate in R&D initiatives (20% of time) to experiment with state-of-the-art techniques - Drive business value by leveraging your work across robotics, software, and deployment teams This role is in-person hybrid in

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