Computer Vision Engineer · Resume example
Computer Vision Engineer resume example
A complete sample Computer Vision Engineer resume, four role-specific bullet points you can copy, the skills recruiters look for, and what to leave off. Free, no signup.
Alex Morgan
Computer Vision Engineer
alex.morgan@email.com · linkedin.com/in/alexmorgan · github.com/alexmorgan · San Francisco, CA
Professional summary
Computer Vision Engineer with 6+ years of experience shipping production systems in growth-stage and enterprise environments. Deep work across CNN architectures, PyTorch, and 3D reconstruction. Track record of leading cross-functional projects to measurable outcomes and mentoring engineers into senior roles.
Experience
Senior Computer Vision Engineer
2023 — PresentAcme Technologies · San Francisco, CA
- Led CNN architectures initiatives across 4 product squads, reducing time-to-ship by 32% over two quarters while keeping reliability above the 99.95% target.
- Designed and shipped PyTorch-driven workflows that lifted weekly throughput from 12 to 19 features without adding headcount, partnering closely with 3D reconstruction stakeholders.
- Owned CNN architectures for a $4M revenue program, cutting incident MTTR from 47 to 12 minutes and earning the team's first quarterly excellence award.
- Mentored 3 engineers into senior roles by pairing on real-time inference, code reviews, and architecture deep-dives, raising team-wide code-review throughput by 40%.
Computer Vision Engineer
2020 — 2023Northwind Labs · Remote
- Shipped a CNN architectures-centered redesign of the onboarding flow that lifted day-7 retention by 18% across 80k weekly signups.
- Partnered with product on a PyTorch initiative that cut p95 page-load latency from 2.4s to 0.9s, leaning heavily on 3D reconstruction for the harder calls.
- Migrated 14 legacy services to a unified CNN architectures pipeline; reduced operational overhead by ~25% and freed a full headcount for new product work using PyTorch.
Core skills
Education
B.S. Computer Science · University of Washington · 2015
Skills to include
- CNN architectures
- PyTorch
- 3D reconstruction
- real-time inference
- sensor fusion
Skills to leave off
- Generic soft skills with no proof ("team player", "hard worker")
- Tools you used once 5 years ago and can't speak to today
- Buzzwords without context ("synergy", "thought leader", "ninja")
What recruiters look for in a Computer Vision Engineer resume
- Title-match in the first 6 seconds. The summary and most-recent job title should both read "Computer Vision Engineer". Recruiters skim top-to-bottom and bail when titles don't line up.
- Quantified bullets, every line. Every Computer Vision Engineer bullet should carry a number: a percentage, a dollar figure, a count, or a duration. Bullets without numbers get read as "participated in" not "shipped".
- Show depth, not just breadth. Two skills used deeply (CNN architectures, PyTorch) beat ten skills listed shallowly. ATS scoring rewards depth signals.
- Keep it to one page through 8 years, two pages after. Computer Vision Engineer hiring managers want signal density. Filler hurts more than helps.
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