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Deep Learning Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

Preferred Qualifications Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow. Experience in on-device ML model deployment and on-device ...

Apple

Machine Learning Engineer

Pittsburgh, PA

Preferred Qualifications Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow. Experience in on-device ML model deployment and on-device ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

Responsibilities : • Design, develop, and implement machine learning and deep learning models to ... engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to ...

Skild AI

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ... Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.

Waabi

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Waabi

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

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Deep Learning Engineer information

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$35.5K

$108.3K

$178.9K

How much do deep learning engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for deep learning engineer in Pittsburgh, PA is $108,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

What are the most commonly searched types of Deep Learning Engineer jobs in Pittsburgh, PA?

The most popular types of Deep Learning Engineer jobs in Pittsburgh, PA are:

What are popular job titles related to Deep Learning Engineer jobs in Pittsburgh, PA?

For Deep Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Deep Learning Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Deep Learning Engineer jobs in Pittsburgh, PA are:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,483 per year, or $54.1 per hour.

Deep Learning Engineer II (Multiple Positions) (REF286216I)

Pittsburgh, PA • On-site

Bosch Group
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

290th of 495 rated machine equipment manufacturers

Good employer

Recommended by students

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$77K - $104K/yr

Full-time

Re-posted 20 days ago

Job description

Company Description
Robert Bosch LLC seeks Deep Learning Engineer II (Multiple Positions) at its facility located at 2555 Smallman Street, Suite 300, Pittsburgh, PA 15222. Conduct research and advanced development of innovative signal processing and deep learning systems specifically designed to process and analyze sensor signals. These sensor signals include, but are not limited to, audio, vibration, ultrasounds, radar, lidar, power traces, and torque. Utilize expertise in machine learning and signal processing to develop innovative algorithms that accurately interpret and respond to these diverse types of data. Manage the development of artificial intelligence (AI) systems integrated with large language models. These AI systems support agentic workflows, automating complex tasks typically performed by human agents. Work on creating multimodal retrieval-augmented generation applications, combining multiple forms of data (e.g., text, images, audio) to enhance the system's ability to generate relevant and contextually appropriate responses. Collaborate with teams across the organization worldwide to ensure the successful implementation and deployment of these advanced AI solutions on embedded platforms. REQS: This position requires a master's degree or foreign equivalent in Information Technology, Electronic Engineering or a related field and 3 years of experience as a Deep Learning Engineer, Research Engineer or occupation involving design, development, and maintenance of deep learning pipelines for acoustic and vibration signals. Additionally, the applicant must have employment experience with: (1) Deep learning and signal processing frameworks in Python; (2) PyTorch and Lightning; (3) MLFlow and Numpy; (4) Scipy; and (5) Matplotlib. Telecommuting: Hybrid, 2 days per week WFH. Applicants who are interested in this position should apply https://www.bosch.us/careers/, search [Deep Learning Engineer II (Multiple Positions) / REF286216I]
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About Bosch

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Bosch is a renowned multinational company based in Farmington Hills, Michigan. Associated with the industrial technology, consumer goods, and building technology sectors, Bosch is an iconic name in the global market. In addition to its high-quality product roster, which is chiefly characterized by home appliances, power tools, automotive parts, and smart home items, it offers unparalleled services in the realms of software and business process outsourcing. Founded by Robert Bosch in Stuttgart, Germany in 1886, the company has stayed true to its core values of superior quality and innovation.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Farmington Hills, MI, US

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Hours and flexibility

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