AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Browse roles for engineers who build, train, deploy, and improve AI systems in real production environments.
AI and machine learning engineering roles are ideal for candidates who want to ship real models, improve production systems, and work on applied AI products.
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Posted 5 months ago
Applications closedCeltrix AI
Hybrid
Los Angeles, United States (UTC-8)
A single unplanned machine failure on an automotive assembly line costs $22,000 per minute of downtime. Our predictive maintenance system fuses data f...
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Posted 5 months ago
Applications closedDaeva Tech
Hybrid
Berlin, Germany (UTC+1)
Surface roughness, waviness, and texture tell you more about manufacturing quality than any dimensional measurement. A bearing surface that looks perf...
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Posted 5 months ago
Applications closedDelven Labs
Remote
New York, United States (UTC-5)
Network traffic data is a firehose — 4 billion flow records per day across our client deployments. Somewhere in that torrent are the 200 flows that re...
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Posted 5 months ago
Applications closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
Podcast editors spend 3-5 hours per episode on repetitive tasks: removing filler words, normalizing loudness across speakers, cutting dead air, adding...
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Posted 5 months ago
Applications closedElara Intelligence
Remote
New York, United States (UTC-5)
SHAP values are great for tabular models. They're useless for explaining why a 70-layer transformer rejected a loan application to a compliance office...
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Posted 5 months ago
Applications closedElvio Works
Remote
Los Angeles, United States (UTC-8)
Generated 3D assets look impressive in a demo reel but fall apart in production when you zoom in on the textures. Tiling artifacts, color banding, res...
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Posted 5 months ago
Applications closedRavio Tech
Remote
New York, United States (UTC-5)
How do you QA something that gives a different answer every time you ask? That's the fundamental challenge of testing AI products, and we've built our...
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Posted 5 months ago
Applications closedPrixel Labs
Remote
Los Angeles, United States (UTC-8)
We're building AI tools for digital artists — style transfer, image upscaling, and reference-based generation. Our users are illustrators, concept art...
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Posted 5 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
Feature engineering is the unglamorous part of ML that separates good models from great ones. We know this because we've seen it across 30+ client eng...
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Posted 5 months ago
Applications closedCandor Systems
Remote
New York, United States (UTC-5)
We run the inference backbone for 14 mid-market SaaS companies. They build the apps — we keep their models serving, scaling, and not falling over at 3...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Some candidates start with AI & ML Engineering jobs for product and model delivery, while others focus on NLP & Prompt Engineering jobs for LLM products, MLOps & AI Infrastructure jobs for production reliability, or AI Product & Strategy jobs for roadmap and adoption work.
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