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Deep Learning Engineer Jobs in Pennsylvania (NOW HIRING)

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Deep Learning Engineer information

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$38.1K

$116.1K

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How much do deep learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for deep learning engineer in Pennsylvania is $116,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $151,900.00 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 Pennsylvania?

The most popular types of Deep Learning Engineer jobs in Pennsylvania are:

What are popular job titles related to Deep Learning Engineer jobs in Pennsylvania?

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

What cities in Pennsylvania are hiring for Deep Learning Engineer jobs?

Cities in Pennsylvania with the most Deep Learning Engineer job openings:

Infographic showing various Deep Learning Engineer job openings in Pennsylvania 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 $116,143 per year, or $55.8 per hour.

Machine Learning Artificial Intelligence Engineer

RIT Solutions, Inc.

Norristown, PA • On-site

$109K - $131K/yr

Full-time

Re-posted 16 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Machine Learning Artificial Intelligence Engineer. The role involves leveraging strong project experience in Machine Learning, Big Data, and Python to build data pipelines and develop REST APIs.
Responsibilities:
• Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
• Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
• 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.
• 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
• Strong experience with REST API development using Python frameworks (Django, Flask etc.).
• Micro Services/Web service development experience using Spring framework is highly desirable
Qualifications:
Required:
• Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
• Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
• 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive.
• 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
• Strong experience with REST API development using Python frameworks (Django, Flask etc.).
Preferred:
• Micro Services/Web service development experience using Spring framework is highly desirable
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.