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Pytorch Developer Jobs in New York (NOW HIRING)

MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $90-$130/hour Location: Remote Role Responsibilities * Guide research and engineering teams to close knowledge gaps and ...

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required ... programming languages such as Python, Java, or similar. • Experience with AI frameworks and ...

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Lead AI/ML Developer Location: NYC, NY (Hybrid - 3 days a week onsite) Job Type: Contract ... Tensor, PyTorch * AWS, Azure * Pandas, Numpy * CI/CD

Java Developer

Manhattan, NY · On-site +1

$60/hr

Java Developer Location: NY (Hybrid) Industry: Banking & Financial Services End client: BNYM Rate ... Experience with AI frameworks like TensorFlow, PyTorch, or MLflow. * Knowledge of Natural Language ...

Java Developer

Manhattan, NY · On-site +1

$60/hr

Java Developer Location: NY (Hybrid) Industry: Banking & Financial Services End client: BNYM Rate ... Experience with AI frameworks like TensorFlow, PyTorch, or MLflow. * Knowledge of Natural Language ...

Research Engineer Contract Duration: 1 year, possible extension Work Arrangement: Remote, ideally ... Experience with machine learning frameworks such as PyTorch and distributed optimization techniques ...

Cloud Data Developer/ Engineer Experience 7-10+ years in Data Engineering/Cloud Development. Proven ... G., scikit-learn, TensorFlow, PyTorch). Experience with Databricks, including cluster usage and ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Senior AI Engineer

Piscataway, NJ · On-site

$106.50K - $146.20K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What cities in New York are hiring for Pytorch Developer jobs? Cities in New York with the most Pytorch Developer job openings:

MLOps Engineer - JAX/PyTorch Expert

Mercor

New York, NY • Remote

$90 - $130/hr

Full-time

Posted 26 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: MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Type: Contract
Compensation: $90–$130/hour
Location: Remote

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 across multiple specializations. Write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions. 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

  • 5+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with JAX and/or PyTorch at scale, including distributed training strategies (FSDP, tensor parallelism, pipeline parallelism), memory optimization, and framework-level debugging.
  • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton, including tiling strategies, memory layout design, and kernel fusion.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 30 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.
  • Equal Employment Opportunity employer.

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.