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Full Time Pytorch Jobs (NOW HIRING)

Capgemini

AI Solutions Developer

New York, NY · On-site

$55 - $75.75/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

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Full Time Pytorch information

What is the difference between Full Time Pytorch vs Machine Learning Engineer?

AspectFull Time PytorchMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with PytorchBachelor's or higher in CS, Data Science, or related fields; experience with ML frameworks including Pytorch
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learning projectsTech companies, startups, or R&D teams working on ML solutions
Employer & Industry UsagePrimarily in AI research, deep learning projects, and model developmentDeveloping, deploying, and maintaining ML models across various industries

While both roles require knowledge of Pytorch, a Full Time Pytorch position typically focuses on implementing and experimenting with deep learning models using Pytorch. A Machine Learning Engineer often has a broader scope, including deploying models, optimizing algorithms, and working across different ML frameworks. The roles overlap in skills but differ in responsibilities and application scope.

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Full Time Pytorch jobs near you

Lead Architect _ Intelligent Voice Assistant Systems

Raya Workforce

Milford, MA • On-site

$60.50 - $83/hr

Full-time

Re-posted 20 days ago

Job description

Location: Flexible | Remote-First
Role Type: Full-Time | Founding Team Position

Are you excited about creating the next wave of intelligent, voice-enabled systems? We’re looking for a forward-thinking technologist to help define the architecture of an advanced Virtual Personal Assistant (VPA) platform—one built where natural conversation, on-device performance, and cutting-edge AI meet.

What You’ll Be Building

You’ll guide the full architectural vision for a modern VPA—think SIRI’s concept, but rebuilt with today’s most powerful technologies. Expect to work on a blend of local and cloud inference, high-accuracy speech recognition systems, and deep integration across Apple hardware and software.

Core Tech Stack

Devices & Platforms: iPhone, iPad, Mac Mini M4 Pro

Key Technologies & Frameworks:

  • Apple Development Tools (Swift, Core ML)

  • LangGraph for agent orchestration

  • Large Language Models (LLMs)

  • Retrieval-Augmented Generation (RAG)

  • ASR frameworks: OpenAI Whisper, Meta Wave2Vec-BERT

  • Hugging Face exporters and Swift-based transformer tooling

  • Accent-adaptive tuning and speech personalization

  • PyTorch, JAX, Ray

  • Distributed data pipelines with Beam, Spark, Dask, and Ray

Your Responsibilities

  • Architect and enhance a hybrid cloud/on-device system optimized for real-time assistant performance

  • Develop scalable, privacy-centric ASR and LLM workflows for natural language understanding

  • Tune transformer models for Apple-native deployment using Core ML and associated tooling

  • Drive inclusive, multilingual, and accent-resilient voice experiences

  • Work closely with a small, passionate team of engineers, designers, and product thinkers

Ideal Candidate

You might thrive here if you:

  • Have experience designing large, complex AI systems and delivering production-level voice interfaces

  • Bring 3+ years of hands-on work in AI/ML, particularly in Automatic Speech Recognition

  • Are comfortable with open-source ML ecosystems like PyTorch, JAX, and Ray

  • Understand distributed processing tools such as Beam, Spark, Dask, or Ray

  • Are proficient in multiple programming languages (C++, Python, Java preferred)

  • Enjoy experimenting—whether quickly prototyping or drafting detailed architectural plans

  • Care about accessibility, user experience, and creating fair voice interactions across accents and languages

Why You’ll Love Working With Us

This isn’t just another software project—it’s a chance to redefine what personalized, voice-driven AI can become. As a founding member, you’ll help build a system that listens, adapts, and responds in the most human-centered way possible.

And here’s a unique perk: you’ll get the opportunity to travel to the Eastern Caribbean—on us—to field-test the product in a beautiful, tropical environment. Innovation meets island energy.