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Tensorflow Pytorch Jobs in Randolph, NJ (NOW HIRING)

Photon

GEN AI/ML Developer - Jersey

Somerville, NJ · On-site

Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. * Familiarity with natural language processing (NLP) techniques and transformer models ...

Photon

GEN AI Architect - New Jersey

Somerville, NJ · On-site

$65.25 - $84/hr

Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. * Familiarity with natural language processing (NLP) techniques and transformer models ...

Tata Consultancy Services

AI Researcher

Edison, NJ · On-site

Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow. * Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

Tata Consultancy Services

AI Researcher

Edison, NJ

Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow. * Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

GDH

5G Network Engineer

Bedminster, NJ · On-site

$50 - $55/hr

Hands-on experience with AI/ML frameworks such as TensorFlow or PyTorch. * Proven expertise in application transformation and performance optimization. * Strong understanding of telecom service ...

Xident B.V.

Senior Machine Learning Engineer

Union, NJ · On-site

$140 - $190/hr

Optimize models for client-side ONNX Runtime inference (WebAssembly, Core ML, TensorFlow Lite ... Strong PyTorch skills with experience exporting to ONNX for edge deployment * Published research or ...

New

Peraton

AI/ML Research Scientist

Basking Ridge, NJ · On-site

$140 - $190/hr

Hands-on experience with ML tooling such a PyTorch, TensorFlow * Knowledge of LLMs and agentic AI is a plus * Experience with modeling, simulation and analysis * Experience with developing surrogate ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). * Experience with computer vision libraries (e.g., OpenCV) and OCR technologies. * Strong understanding of deep learning ...

CYNET SYSTEMS

Data Engineer

Raritan, NJ · On-site

$50 - $55/hr

PyTorch. * TensorFlow. * Apache Spark. * Scala. * Problem-solving. * Leadership. Qualification And Education: * Strong organizational and leadership abilities. * Excellent communication and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). * Experience with computer vision libraries (e.g., OpenCV) and OCR technologies. * Strong understanding of deep learning ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). * Experience with computer vision libraries (e.g., OpenCV) and OCR technologies. * Strong understanding of deep learning ...

ClifyX

AI Architect - COE Healthcare

Edison, NJ · On-site

... PyTorch, TensorFlow) • Hands-on experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow) Company : ClifyX provides innovative business solutions which satisfy requirements for ...

Cynet Systems

Data Engineer

Raritan, NJ · On-site

$50 - $55/hr

PyTorch. * TensorFlow. * Apache Spark. * Scala. * Problem-solving. * Leadership. Qualification And Education: * Strong organizational and leadership abilities. * Excellent communication and ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Randolph, NJ

Tensorflow Pytorch information

See Randolph, NJ salary details

$38.5K

$126.2K

$202K

How much do tensorflow pytorch jobs pay per year?

As of Sep 6, 2026, the average yearly pay for tensorflow pytorch in Randolph, NJ is $126,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,800.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What cities near Randolph, NJ are hiring for Tensorflow Pytorch jobs?

Cities near Randolph, NJ with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Randolph, NJ as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $126,152 per year, or $60.6 per hour.

Research Intern, Generative AI & World Modeling

FUTUREWEI TECHNOLOGIES INC

Basking Ridge, NJ • On-site

Internship

Posted 11 days ago

Job description

Changing the world and user experiences through learned world knowledge is at the core of our team's mission. We are seeking a Research Intern with a strong foundation in statistics and applied mathematics to work alongside a diverse group of researchers. In this role, you will conduct fundamental research that bridges rigorous mathematical theory with state-of-the-art applications in machine learning, computer vision, computer graphics, and physical AI.


What You'll Do

  • Fundamental Research: Leverage statistics, probability theory, and applied math to develop novel algorithms for machine learning (ML), computer vision (CV), and computer graphics (CG).
  • Innovation & Prototyping: Translate core mathematical and statistical insights into scalable algorithms and open-source prototypes.
  • Academic Impact: Publish groundbreaking work in top-tier machine learning, computer vision, and computer graphics conferences and journals (e.g., NeurIPS, ICML, CVPR, and SIGGRAPH).

Requirements:

  • Ph.D. candidate with a strong background in statistics, probability, continuous optimization, linear algebra, or differential equations, with a passion for applying fundamental theory to real-world problems
  • Proven hands-on experience with SOTA machine learning algorithms, especially with generative machine learning and/or fine-tuning of LLMs/LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or TensorFlow.
  • Deep knowledge and hands-on experience in computer vision and computer graphics are a plus.
  • Strong programming skills in Python or C / C++ for Windows and/or Linux are required.
  • Experience in working with open-source software frameworks is a plus
  • Self-motivated, detail-oriented team player

  • Good verbal and written communication skills

Duration of the job: 3-6 months

Employment Type: Intern

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