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Pytorch Developer Jobs in New York (NOW HIRING)

PDT Partners

Performance Engineer

New York, NY · On-site

$195K - $225K/yr

Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking ... Versatile engineering mindset: ability to learn quickly, tackle diverse challenges, and adapt.

Genesis10

AI/ML Python Developer

Manhattan, NY · On-site

$55.06 - $63.06/hr

Hands on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit learn) * Experience working with LLMs, prompt engineering, or AI agent frameworks * Solid understanding of data processing ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or ...

Tata Consultancy Service Limited

Engineer

Jersey City, NJ · On-site

$90K - $100K/yr

... Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique ... PyTorch, TensorFlow, Keras - Hands-On knowledge on NLP - Understanding of model deployment and ...

PDT Partners

Performance Engineer

New York, NY · Hybrid

$195K - $225K/yr

Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking ... Versatile engineering mindset: ability to learn quickly, tackle diverse challenges, and adapt.

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone

Associate AI Developer

White Plains, NY

iSoftStone , Inc. is seeking an A ssociate AI Developer to join our Team In New York, NY, Seattle ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

Impel

Lead Engineer, Mobile

Manhattan, NY · On-site

As a lead engineer, you'll supervise a team of developers working on building features on iOS and ... backend and PyTorch as CV model framework. Responsibilities * Lead a cross-functional agile ...

KARGO

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch ... developer iteration speed, not just model accuracy Cross-Functional Translation * Explains ...

1 point system

GenAI Engineer

New York, NY · Remote

Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API ... Experience with TensorFlow, Keras, and PyTorch. Cloud Platforms: Familiar with Google Model Garden ...

Optiver

Machine Learning Research Engineer

New York, NY

$224K/yr

Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow * Experience in programming in Python * Experience in computationally intensive research on very large data sets Nice to have:

Kargo

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch ... developer iteration speed, not just model accuracy Cross-Functional Translation * Explains ...

DeepMagic

Software Engineer

Manhattan, NY

Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc Additional Information All your information will be kept confidential according to EEO ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI ... Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face ...

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Pytorch Developer information

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 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 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 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 are popular job titles related to Pytorch Developer jobs in New York? For Pytorch Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in New York look for? The top searched job categories for Pytorch Developer jobs in New York are:
What cities in New York are hiring for Pytorch Developer jobs? Cities in New York with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in New York as of June 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.
Performance Engineer

Performance Engineer

PDT Partners

New York, NY • On-site

$195K - $225K/yr

Full-time

Posted 18 days ago

Job description

Performance Engineer
We're looking for an exceptional Performance Engineer to join our growing technology organization. Interviewing at PDT is intentionally focused on finding great people who can build long-term, impactful careers with us.
Performance Engineers at PDT are responsible for deeply understanding and optimizing the systems that enable our trading strategies at scale. You will work at the intersection of software, systems, and hardware to analyze performance, drive infrastructure efficiency, and free up critical compute capacity. Your work directly amplifies researcher velocity and scales our core models, creating massive impact through both cost savings and accelerated innovation. You'll thrive at PDT if you love open-ended problems, diving into GPU optimization and system optimization/design, and are excited to take your discoveries all the way to production at scale.
This is a hybrid position and will require the person to work from our New York City office at a minimum of 3 days a week.
Why join us
PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world, measured by the quality of our products, not their size. PDT's very high employee-retention rate speaks for itself. Our people are intellectually extraordinary, and our community is close-knit, down-to-earth, and diverse.
Key Responsibilities
  • Analyze and understand system performance to enhance researcher throughput and velocity.
  • Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking, storage, and CPU/GPU layers to optimize compute resource utilization
  • Read and understand software layers, providing suggestions/PRs that optimize parts of codebases.
  • Free up capacity and reduce costs by improving computational efficiency
  • Support scaling of core models by ensuring efficient implementation
  • Propose and implement systems to improve performance telemetry
  • Conduct proof-of-concept (PoC) evaluations and contribute to system design
  • Identify and act on optimization opportunities across the stack

Below is a list of skills and experiences we think are relevant. Even if you don't think you're a perfect match, we still encourage you to apply because we are committed to developing our people.
  • Strong proficiency in Linux and its associated performance engineering toolset.
  • Experience with PyTorch, GPUs and CUDA for optimization.
  • Deep understanding and appreciation of what happens at the hardware-software interface.
  • Versatile engineering mindset: ability to learn quickly, tackle diverse challenges, and adapt.
  • Skills in coding, micro-optimization, and understanding multiple programming languages.
  • Ability to analyze performance without being solely focused on heads-down optimization.

The salary range for this role is between $195,000 and $225,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT's privacy notices.

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