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Tensorflow Jobs in Pittsburgh, PA (NOW HIRING)

Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc. * Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. * Comfortable working ...

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 ...

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 ...

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 ...

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Tensorflow information

See Pittsburgh, PA salary details

$36.4K

$119.2K

$190.8K

How much do tensorflow jobs pay per year?

As of Aug 14, 2026, the average yearly pay for tensorflow in Pittsburgh, PA is $119,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 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 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 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 are the most commonly searched types of Tensorflow jobs in Pittsburgh, PA?

The most popular types of Tensorflow jobs in Pittsburgh, PA are:

What are popular job titles related to Tensorflow jobs in Pittsburgh, PA?

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

What cities near Pittsburgh, PA are hiring for Tensorflow jobs?

Cities near Pittsburgh, PA with the most Tensorflow job openings:

Infographic showing various Tensorflow job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $119,156 per year, or $57.3 per hour.

Senior Machine Learning Engineer - Mission Innovation Lab

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

$101K - $139K/yr

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking a Senior Machine Learning Engineer for their Mission Innovation Lab. The role involves leading applied-research projects to develop mission-scale AI capabilities for defense-focused missions, while collaborating with researchers and mentoring junior team members.
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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.