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Pytorch Jobs in Manhattan, NY (NOW HIRING)

PyTorch Expert Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve ...

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required Skills: * Proven experience in developing AI agents, chatbots, or conversational AI systems.

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Implement and train neural network models such as transformers & contrastive learning architectures using deep learning frameworks (e.g., PyTorch) Qualifications * Bachelor's degree (U.S. or ...

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The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow ...

The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow ...

Senior Gen AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Generative AI | Agentic AI | LLM | RAG | Python | NLP | LangChain | Multi-Agent Systems | AWS/Azure/Google Cloud Platform | PyTorch/TensorFlow We are seeking a Senior GenAI Engineer to lead the ...

The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow ...

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit-learn. * Experience deploying enterprise AI/ML solutions ,AWS, Azure, Google Cloud Platform (GCP)

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow. * Design and implement solutions involving Large Language Models (LLMs), embeddings, vector ...

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

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 ...

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Pytorch information

See Manhattan, NY salary details

$88.2K

$158.1K

$226.8K

How much do pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for pytorch in Manhattan, NY is $158,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,858.00 and $193,393.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are popular job titles related to Pytorch jobs in Manhattan, NY? For Pytorch jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Manhattan, NY look for? The top searched job categories for Pytorch jobs in Manhattan, NY are:
Infographic showing various Pytorch job openings in Manhattan, NY as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $158,133 per year, or $76 per hour.

PyTorch MLOps Engineer - AI Specialist

Mercor

New York, NY • Remote

$70 - $110/hr

Full-time

Re-posted 8 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: PyTorch Expert
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Triton or Pallas.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.