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Tensorflow Jobs in Pennsylvania (NOW HIRING)

Pwc

AI Engineer

Philadelphia, PA · On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Deloitte

Generative AI Data Engineer III

Philadelphia, PA · On-site

$115K - $138K/yr

Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.

Pwc

AI Engineer

Pittsburgh, PA · On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Deloitte

Lead Generative AI Data Engineer III

Philadelphia, PA · On-site

$103K - $136K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you ...

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... TensorFlow, SciKit, etc. • Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. • Comfortable working with LLM APIs and integrating them into applications. • A ...

Tata Consultancy Service Limited

Data Scientist

Malvern, PA · On-site

$100K - $135K/yr

... TensorFlow/PyTorch. • Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch. • Expertise in feature engineering, predictive modeling, and statistical analysis. • Experience with ...

Triunity Software, Inc.

AI or ML Engineer

Saxonburg, PA · On-site

$110 - $170/hr

Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * Proficiency in Python and/or other relevant programming languages * Experience with NLP, computer ...

Skild AI

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. * Strong track record of publishing papers and/or deploying real-world applications. * Deep ...

Tata Consultancy Service Limited

ML Engineer

Malvern, PA · On-site

$100K - $135K/yr

... TensorFlow, and PyTorch. • AWS Cloud Services Proficiency in S3, EC2, IAM, Lambda, ECR, ECS/EKS, CloudWatch, and Step Functions for ML workloads. • MLOps & CI/CD Experience implementing automated ...

Vangard, Inc.

Senior AI/ML Engineer

Philadelphia, PA

$105K - $144K/yr

Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn). * Knowledge of LLMs and agentic principles. * Vanguard Internal Use Only Experience with vector ...

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How much do tensorflow jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the most commonly searched types of Tensorflow jobs in Pennsylvania?

The most popular types of Tensorflow jobs in Pennsylvania are:

What are popular job titles related to Tensorflow jobs in Pennsylvania?

For Tensorflow jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Tensorflow jobs in Pennsylvania look for?

The top searched job categories for Tensorflow jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Tensorflow jobs?

Cities in Pennsylvania with the most Tensorflow job openings:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.

Senior Machine Learning Engineer - Mission Innovation Lab

Carnegie Mellon University

Pittsburgh, PA • On-site

$97K - $134K/yr

Other

Re-posted 29 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

66th of 619 rated colleges and universities

Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview
As a Machine Learning Engineer who can take research ideas from concept to prototype, you will lead independent applied-research projects for defense-focused missions.
The ideal candidate is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission-scale capabilities.
The Mission Innovation Lab within the SEI's AI Division works with the defense and national security community to translate the "recently possible" in AI into reliable mission and warfighting capabilities.
Key Responsibilities
  • Design, implement, and evaluate state-of-the-art ML models (computer-vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.

  • Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.

  • Lead rapid-prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.

  • Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).

  • Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.

Required Qualifications
  • B.S. in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of experience ; OR M.S. with 8 years ; OR Ph.D. with 5 years of relevant experience.

  • Ability to obtain and maintain an active Department of War security clearance.
  • You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.

  • Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs.

  • Solid understanding of ML theory, statistical learning, and common algorithms.

  • Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries.

  • Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.

Desired Experience
  • Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities.

  • Publications or open-source contributions in AI and ML, especially in adversarial or robust ML.

  • Experience working on defense or other high-impact government programs.

  • Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.

Knowledge, Skills, & Abilities
  • Deep technical knowledge of modern ML methods and ability to extend them to novel domains.

  • Excellent written and verbal communication skills; capable of presenting complex ideas to technical and non-technical audiences.

  • Strong collaborative mindset; experience working in interdisciplinary teams and mentoring peers.

  • High degree of scientific curiosity and a proactive, self-directed work style.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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