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.
PyTorch, RDKit, and physics-informed neural networks are the backbone of what we build at Axion Labs. We develop ML models for molecular simulation —...
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Have you ever wanted to build AI systems that actually go to production in a factory — not just demos in a controlled lab environment? At Daeva Tech,...
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Our mission is to make AI deployments provably safe before they reach real users. Elara Intelligence builds robustness certification toolkits used by...
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Posted 3 months ago
United States — New York (UTC-4)
Session-based recommendation addresses the cold-start limitation of collaborative filtering: when a new user arrives or an existing user starts a fres...
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Tabular data synthesis is a solved problem — imperfectly, but the techniques are mature. Time-series synthesis is much harder: temporal structure, aut...
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An API platform's health is determined not just by its own uptime and latency but by the health of the ecosystem built on top of it. A partner integra...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
Speaker verification — confirming that a voice belongs to a specific enrolled speaker — is a widely deployed biometric authentication mechanism. The a...
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Flood risk is one of the fastest-growing unpriced risks in residential real estate. FEMA flood maps are notoriously outdated — many were last revised...
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LLMs hallucinate. The research community knows this. What is not yet solved is how to measure it rigorously and at scale: which kinds of questions tri...
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Semantic role labeling — determining who did what to whom, when, where, and how in a sentence — is the NLP task that connects surface syntax to event...
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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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