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Pytorch Developer Jobs in Hackensack, NJ (NOW HIRING)

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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 ...

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 ...

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 · On-site

$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 ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$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

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 ...

Attentive

Senior Machine Learning Engineer

New York, NY

$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 ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

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

Spiral

Software Engineer - Systems

New York, NY · On-site

$200K - $275K/yr

Our users are AI/ML researchers and AI infra engineers developing models in complex domains, such ... PyTorch, CUDA) is also a plus * Experience with Rust is a bonus * Willingness to work in-person at ...

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 ...

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 ...

DeepMagic

Software Engineer

Manhattan, NY · On-site

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 ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/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

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All JobsPytorch Developer JobsPytorch Developer Jobs in Hackensack, NJ

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 Hackensack, NJ? For Pytorch Developer jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Hackensack, NJ look for? The top searched job categories for Pytorch Developer jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Pytorch Developer jobs? Cities near Hackensack, NJ with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Hackensack, NJ as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr Gen AI Engineer - NY/NJ

Photon

Manhattan, NY • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

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:
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 40,000
Maximum Compensation: USD 141,000
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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