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Computer Vision Engineer — autonomy
Anduril Industries
Cette annonce est pensée pour les profils IA : compétences et outils clairs pour savoir si le poste correspond avant de postuler — et pour réduire les mauvais matchs au screening.
3 compétences 1 outil
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Lieu de travail Hybrid
Localisation 1400 S Coast Dr, Costa Mesa, CA 92626, United States · Hybrid
Rémunération $160k–$210k + equity Niveau d’expérience Avantages Equity, defense tech mission. Comment postuler Edge CV deployment with constraints.
Publiée le 14 juin 2026
Mise à jour 8 juil. 2026 Anduril Industries is hiring a Senior Computer Vision Engineer — autonomy on the Perception team (Hybrid · Costa Mesa, United States). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Anduril develops defense and autonomy technology with computer vision at the edge. Costa Mesa teams ship perception for real-world missions.
Computer Vision Engineer: detection/tracking, sensor fusion, and robust deployment in constrained environments.
What you will do
Ship production defense computer vision with clear evaluation, monitoring, and rollback paths—not demo-only notebooks. Partner with product, design, and domain experts on requirements, trade-offs, and safe rollout. Improve data quality, labeling, and offline metrics that correlate with business KPIs. Document architectures and runbooks for on-call and customer-facing teams. Mentor engineers on testing, observability, and responsible AI practices. What we look for
Strong Python and modern ML/LLM stack experience with multiple shipped features. Comfort with SQL, experimentation, and communicating results to non-technical stakeholders. Pragmatic ownership from prototype to production—including cost and latency budgets. Eligible to work in the listed country; professional English (French a plus for Paris roles). Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
✓ You can show evidence in your application: Edge CV deployment with constraints. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and Docker. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Costa Mesa, United States)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: $160k–$210k + equity, benefits in At a glance) and your expectations align. Ce que l’employeur demande
Edge CV deployment with constraints.
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Intitulé
Computer Vision Engineer — autonomy
Postuler Pensé pour les équipes qui recrutent des personnes qui travaillent avec l’IA, pas seulement autour.
Les candidats voient compétences et outils dès le départ ; vous recevez des candidatures structurées dans un seul tableau de bord.
Touchez les praticiens IA qui parcourent les offres avec des attentes « preuve d’abord ».
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