Remote positions
Browse vetted remote PyTorch positions at companies building with deep learning, LLM fine-tuning, and production model serving — all roles manually reviewed.
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Learners in over 30 countries rely on our app daily, but right now every learner sees the same fixed review schedule regardless of how well they actua...
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We're building the audio production toolkit that podcasters and musicians use to turn raw voice memos into usable project files without manual transcr...
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Posted 3 months ago
Unknown country — Detroit (UTC-4)
Our mission is to make sure a damaged barcode never causes a shipment to get lost inside a warehouse again. Computer vision and TensorFlow are the cor...
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Posted 3 months ago
United States — Denver (UTC-6)
Our robots run twenty-hour shifts moving inventory through warehouses handling 50,000 orders a day, and an actuator failure mid-shift means a stalled...
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Our mission is to make handwritten language learning exercises gradable in seconds instead of days. TensorFlow and PyTorch are the core of what we bui...
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The models you'll ship will scan over two million acres of farmland every growing season. You'll join our computer vision team of five, working alongs...
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We serve streaming platforms that localize films into more than 30 languages a month. Our clients include major studios where lip-sync accuracy and ti...
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The review tool you'll build gets used live during broadcast, not after the fact. Fast-moving team, tight broadcast windows, no room for a model that...
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Being spread across four continents means we ship based on what the data shows, not who's loudest. What we already have is a strong discovery feed and...
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Archival recordings are degrading faster than our current tools can restore them. We believe decades of recorded music and spoken history shouldn't di...
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Role guide
PyTorch has become the default framework for deep learning research and production at leading AI labs. Remote PyTorch jobs range from model training and fine-tuning to deployment and inference optimisation. The most competitive candidates combine strong PyTorch internals knowledge with production ML system experience.
What remote PyTorch jobs are posted on RemoteAI?
Primarily deep learning engineering roles, LLM fine-tuning positions, and research engineering jobs. Most require hands-on PyTorch model development experience — not just API-level usage.
Do I need Hugging Face experience for PyTorch jobs?
Most companies posting PyTorch roles on RemoteAI use Hugging Face Transformers. Strong familiarity with the HF ecosystem — especially for fine-tuning and inference — significantly improves your application.
What seniority levels are available for remote PyTorch jobs?
Mostly mid-to-senior. PyTorch roles tend to require production experience — companies building LLM or vision systems want engineers who have debugged training instability, not just run tutorials.
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