Computer Vision AI & ML Engineer at Rethink recruit
San Mateo, CA
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Aug 18, 2026
San Mateo, CA
Sep 25, 2026
What this job asks for AI summary
This role at a robotics AI startup involves designing, building, and deploying computer vision and perception systems for real-world robotics applications. The engineer will work across the full ML lifecycle — from model development and data pipeline construction to production integration — covering tasks such as depth estimation, object detection, segmentation, and 3D scene understanding. It suits someone comfortable bridging applied research and hands-on engineering.
Mid level · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (9)
No location is specified in the posting; the CBSA and state fields are left blank. The role appears to be on-site or hybrid given the robotics/hardware context, but remote status is not explicitly stated.
No experience level or years of experience are stated; seniority is assessed as Mid based on the scope of responsibilities and the 'strong experience' language, which does not clearly reach Senior.
PyTorch, TensorFlow, and JAX are listed as interchangeable alternatives under the required deep learning frameworks section; PyTorch is used as the primary name.
LiDAR, RGB-D, and stereo are listed together as examples of multi-sensor fusion modalities under the required qualifications; LiDAR is used as the primary name with the others as alternatives.
C (the language) is explicitly called out as 'a plus' within the requirements section — treated as preferred accordingly.
Isaac Sim, Gazebo, and Blender are listed under 'Nice to Have' as simulation environment examples and are marked preferred.
MLOps and uncertainty modeling appear only under 'Nice to Have' and are marked preferred.
The alt SOC 15-2051 (Data Scientists) is noted because the role has a significant ML modeling and research component, though the primary emphasis on building and deploying production perception systems favors 15-1252.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): 3D scene understanding.
Read the full posting
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