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.
Knowledge graph embeddings are the bridge between symbolic knowledge representation and neural reasoning. A well-trained embedding lets a model traver...
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Clinical trials fail at 90% because the wrong patients are enrolled. Too much heterogeneity in the patient population masks treatment effects; too nar...
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A surgeon deciding whether to recommend a complex procedure needs to know the patient-specific complication risk — not the population average from a t...
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A wearable device with a 2-day battery life is a fashion accessory. A wearable with a 2-week battery life is a medical device. The difference comes do...
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Coordinated inauthentic behavior — networks of fake accounts amplifying narratives, astroturfing campaigns, state-sponsored disinformation — is measur...
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Printed circuit board defects — solder bridges, lifted pads, misaligned components — are invisible to traditional 2D automated optical inspection at t...
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Threat hunting is what happens after the detection system fails. Security analysts look for signs of adversary presence that evaded automated detectio...
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Music supervisors searching for sync licensing tracks have two problems: too many options and too little time. Searching a catalog of 800,000 tracks b...
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Automated property valuation models (AVMs) are used by banks, insurers, and real estate platforms to estimate property values without a physical appra...
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Clinical trials generate massive volumes of structured and unstructured data — lab results, adverse event reports, patient diaries, imaging reads. Our...
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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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