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Tensorflow Pytorch Jobs in Brick, NJ (NOW HIRING)

DPR Construction

MLOps Engineer

East Brunswick, NJ

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

ADP

Senior AI Operations Engineer

Barnegat, NJ · Hybrid

$111K - $152K/yr

Nice to Have -Experience with Python and/or TypeScript. -Familiarity with deep learning frameworks such as PyTorch or TensorFlow. -Experience building developer platforms, internal developer portals ...

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Brick, NJ

Tensorflow Pytorch information

See Brick, NJ salary details

$40.5K

$132.5K

$212.1K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Brick, NJ is $132,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $146,800.00 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 are popular job titles related to Tensorflow Pytorch jobs in Brick, NJ?

For Tensorflow Pytorch jobs in Brick, NJ, the most frequently searched job titles are:

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

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Brick, NJ as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,491 per year, or $63.7 per hour.

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Internship

Re-posted 12 days ago

Job description

At Pereless Systems, we are the leading recruiting cloud platform since 2000, we are at the forefront of AI and machine learning innovation, driving solutions that impact the future. Our team is dedicated to creating cutting-edge technologies that enhance human capabilities and streamline processes. We are currently seeking a passionate and skilled AI LLM Co-op/Intern to join our dynamic team. This role is an exciting opportunity to train and tune existing open-source models with resume content and provide summary and prediction for future applicants.

Why Join Us?

Pereless Systems offers a dynamic and supportive work environment where innovation and initiative are celebrated. As part of our team, you'll have the opportunity to work on groundbreaking projects and make substantial contributions to the field of AI. We provide comprehensive mentorship, professional development opportunities, and a network of industry experts to ensure your co-op/internship experience is exceptionally rewarding.

As an AI LLM Co-op/Intern, you will work closely with our AI research and development team to contribute to the enhancement of our AI systems. Your primary focus will be on the training and tuning of existing open-source language model frameworks, specifically targeting the optimization of resume content processing. You will also assist in developing models that can provide insightful summaries and predictions regarding future job applicants, aiding in our recruitment processes.

Key Responsibilities:

  • Collaborate with AI experts to understand and contribute to the development pipeline of language models.
  • Train and fine-tune open-source AI models using large datasets, particularly resume content.
  • Evaluate model performance and apply iterative improvements.
  • Develop and implement algorithms capable of generating summaries and predictive analyses of job applicants.
  • Document and report findings, insights, and methodologies throughout the development process.
  • Stay updated with the latest trends and advancements in AI and machine learning.

  • Legally authorized to work permanently in the U.S. and not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • Actively enrolled in an accredited university through the duration of co-op assignment pursuing a Bachelor's, Master's or PhD degree
  • Ability to commit to 6-month duration - 40 hours per week (Monday - Friday) for the length of the assignment (June 17, 2024 - December 13, 2024)
  • Minimum cumulative 3.0 GPA
  • Currently enrolled in or recently graduated from a degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong foundation in AI principles, machine learning, and natural language processing (NLP).
  • Experience with Python programming and libraries such as TensorFlow, PyTorch, or similar.
  • Familiarity with open-source language models and frameworks.
  • Ability to handle large datasets and perform data cleaning and preprocessing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Prior experience or projects involving natural language processing or machine learning.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source projects or publications in relevant fields.