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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We're building AI tools for podcast producers — automatic transcription, speaker diarization, content summarization, and smart clip extraction. Our pl...
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Insurance claims arrive as PDFs, scanned letters, emails, photos of damaged property, and sometimes handwritten notes. Our platform turns all of this...
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Our recommendation engine drives 35% of all purchases on our marketplace — that's $12M in monthly GMV influenced by the models you'll build and improv...
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Professional sports broadcasts use 15-30 cameras with a human director switching between them in real time — deciding when to show the wide shot, when...
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Prompt injection is the input side of LLM security. Output guardrails are the other half — ensuring that model responses don't leak private training d...
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Public transit agencies set schedules months in advance based on historical ridership averages. But ridership patterns have changed dramatically — rem...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
When a model scores 95% on a benchmark, does it actually understand the task or did it memorize the test set during training? Benchmark contamination...
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Static autoscaling rules waste GPU capacity. Scale up too aggressively and you pay for idle GPUs during traffic dips. Scale up too slowly and requests...
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Sports analytics platforms drown in data — 4,000 data points per NBA game, 1,200 per soccer match, real-time odds from 40 bookmakers. The teams and be...
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A text-to-speech system that sounds American English doesn't serve a user in Mumbai who expects Indian English prosody, or a user in Lagos who expects...
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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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