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Full Time Pytorch Jobs (NOW HIRING)

Happy Dad

AI SOFTWARE ENGINEER

Anaheim, CA · Remote

$80K - $100K/yr

... PyTorch, TensorFlow, or similar Comfort working in cloud environments Ability to move fast, make tradeoffs, and own your work Clear communicator who plays well with others Job Type: Full-time, Remote ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows. Should be specialized in ... In-depth understanding of deep learning frameworks like TensorFlow, PyTorch, or similar. Strong ...

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Full Time Pytorch information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning frameworks like PyTorch, extensive experience, and leadership responsibilities. Such roles are usually found in large tech companies or AI-focused firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.

What engineers make $500,000?

Senior engineers in fields like software engineering, especially those specializing in high-demand areas such as machine learning, AI, or cloud infrastructure, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or stock options in tech companies.

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.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior software engineers, data scientists, and machine learning engineers, especially those with expertise in frameworks like PyTorch. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities in technology companies or finance sectors.

What job makes $10,000 a month without a degree?

A full-time PyTorch engineer or AI specialist can potentially earn $10,000 or more per month through roles in machine learning, deep learning, or AI development, especially with strong skills in programming, neural networks, and frameworks like PyTorch. Such positions often require expertise and experience rather than formal degrees, and they may be found in tech companies, startups, or freelance projects. High-paying roles in this field typically demand continuous learning and proficiency with tools like Python and GPU computing.
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What are the most commonly searched types of Pytorch jobs? The most popular types of Pytorch jobs are:
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Full Time Pytorch jobs near you
Sr Data Scientist - Gen AI ML - Tampa/Irving

Sr Data Scientist - Gen AI ML - Tampa/Irving

Photon

Irving, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Key responsibilities

  • Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

  • Build and maintain advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

  • Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Job description


Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
7+ years of experience ; Hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
Minimum Compensation: USD 62,000
Maximum Compensation: USD 217,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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