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.
Our GPU clusters handle 2.3 billion inference requests per month, and that number doubles every quarter. The bottleneck isn't compute — it's orchestra...
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PyTorch models that run perfectly on A100 GPUs are useless on an ARM Cortex-M7 with 512KB of RAM. If you understand why — and more importantly, how to...
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We're building autonomous decision systems for industrial robotics. Not warehouse pick-and-place — complex assembly tasks where a robot needs to figur...
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Understanding why a model made a specific prediction isn't just an academic curiosity — it's a regulatory requirement in healthcare, a legal necessity...
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Radiologists read 50-100 cases per day, and fatigue-related errors increase throughout their shift. Our screening system pre-reads imaging studies and...
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Fairness means different things in different contexts. Demographic parity matters for hiring. Calibration matters for risk scoring. Equal opportunity...
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Every international transaction must be screened against sanctions lists — OFAC, EU, UN, and 40 other regulatory bodies. Traditional screening uses fu...
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Hospitals want to train models on patient data without sharing it across institutions. Federated learning makes this possible — each hospital trains l...
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We're a 6-person startup building AI tools for architects and interior designers. Our product lets users upload floor plans, photos, and sketches, the...
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We already have a working recommendation engine, a solid data warehouse in Snowflake, and 3 years of user behavior data from our e-commerce platform....
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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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