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Pytorch Developer Jobs in Red Bank, NJ (NOW HIRING)

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round * Analyze large and complex datasets to derive ...

MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ...

MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ...

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

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 ...

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 ...

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 ...

AI Research Engineer

New York, NY · On-site

$225K - $300K/yr

About the Role We're seeking an AI Research Engineer to develop and optimize our AI models and ... PyTorch (experience with PyTorch required) * Python * NodeJS/Typescript * Docker Compensation and ...

We are seeking an experienced AI Engineering Lead to design, build, and scale advanced AI systems ... as PyTorch, TensorFlow, or JAX. This role requires experience with cloud platforms (AWS, GCP, or ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit ...

We are seeking an experienced AI Engineering Lead to design, build, and scale advanced AI systems ... as PyTorch, TensorFlow, or JAX. This role requires experience with cloud platforms (AWS, GCP, or ...

As a Pre-Training Research Engineer, you'll be at the forefront of developing massive-scale ... Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX)

By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable ... Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI ... PyTorch, TensorFlow, Keras • Hands-On knowledge on NLP • Understanding of model deployment and ...

Showing results 41-60

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 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 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 job categories do people searching Pytorch Developer jobs in Red Bank, NJ look for?

The top searched job categories for Pytorch Developer jobs in Red Bank, NJ are:

What cities near Red Bank, NJ are hiring for Pytorch Developer jobs?

Cities near Red Bank, NJ with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in Red Bank, NJ as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

AI/ML Engineer

Global Soft Systems

New York, NY • On-site

Contractor

Posted 8 days ago


Job description

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch)

Location - New York, NY ( Hybrid 3 days onsite) 

F2F Final Round

Job Description:

  • Analyze large and complex datasets to derive actionable insights and inform business strategies.
  • Develop and implement advanced machine learning models and algorithms.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Communicate findings and recommendations to stakeholders and executive leadership.
  • Stay updated with the latest trends and technologies in data science and machine learning.

Basic Qualifications:

  • Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
  • Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
  • Minimum of 8 years of experience in a data science role.
  • Proficiency in programming languages such as Python or R..
  • Strong understanding of machine learning techniques and algorithms.

Preferred Qualifications:

  • Experience with modern ML frameworks such as PyTorch, TensorFlow
  • Experience with big data technologies such as PySpark
  • Experience with ML model training within cloud infra such as Azure, AWS, GCP
  • Proven track record of successfully deploying and optimizing ML models in a production environment.

Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders