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 1 month ago
Applications closedQuelion Cloud
Remote
Toronto, Canada (UTC-5)
Spark for offline features, Kafka for real-time signals, and a gradient-boosted ranker that serves around 30 million queries a day. That is the core o...
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Posted 1 month ago
Applications closedOntix Intelligence
Hybrid
Phoenix, United States (UTC-7)
The inspections you'll automate currently cover over 200,000 solar panels across our clients' utility-scale installations. Manual thermal drone review...
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Posted 1 month ago
Applications closedBolvex Solutions
Remote
New York, United States (UTC-5)
We serve over 40 hospital networks that need better visibility into patient outcomes after discharge. Readmission penalties and quality metrics keep r...
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Posted 1 month ago
Applications closedLamion Solutions
Remote
Chicago, United States (UTC-6)
Our mission is to cut the time specialists spend sorting incoming referral letters before they ever see a patient. Right now, referral coordinators re...
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Posted 1 month ago
Applications closedFelvix Tech
On-site
New York, United States (UTC-5)
We believe AI should make government more legible to the people it governs, not just to lobbyists who can afford to hire analysts. Our tools are alrea...
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Posted 1 month ago
Applications closedZelux Studio
Remote
Los Angeles, United States (UTC-8)
Ocean plastic cleanup crews currently rely on outdated aerial surveys to decide where to send boats, which wastes fuel and misses fresh debris fields...
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Posted 1 month ago
Applications closedVelvix Labs
Remote
Los Angeles, United States (UTC-8)
Have you ever tried to reproduce a model evaluation result from six months ago and given up because the eval harness, dataset version, and prompt temp...
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Posted 1 month ago
Applications closedElvio Works
On-site
Los Angeles, United States (UTC-8)
The videos you'll help smooth out are watched by creative teams at agencies producing thousands of ad variants a month. Fast-moving team, one clear pr...
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Posted 1 month ago
Applications closedAltrix Systems
Remote
New York, United States (UTC-5)
PyTorch Geometric, Spark for graph construction at scale, and a knowledge graph spanning millions of product relationships are the core of what you'll...
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Posted 1 month ago
Applications closedElara Intelligence
Hybrid
New York, United States (UTC-5)
We serve enterprise clients who need to trust every fairness and bias metric we publish about their AI systems, so our data science bench has to hold...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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Start with the specialty that matches your strengths, then review roles designed for practical AI work, stronger fit, and faster decision-making.
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
Browse JobsFind jobs in LLM products, retrieval systems, prompt design, and language-first AI workflows.
Browse JobsExplore opportunities in deployment, monitoring, orchestration, and scalable AI infrastructure.
Browse JobsReview roles for PMs and strategists connecting AI initiatives to roadmap, adoption, and business value.
Browse JobsFind practical roles focused on orchestration, copilots, internal tooling, and AI-powered process design.
Browse JobsBrowse opportunities in analytics, forecasting, experimentation, and decision support for AI teams.
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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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You can explore remote AI jobs across machine learning, prompt engineering, MLOps, data science, automation, and AI product roles.
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