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Remote Deep Learning Jobs in Pennsylvania (NOW HIRING)

IQVIA, Inc.

AI Solutions Delivery 3 (Remote)

Wayne, PA · On-site +1

... deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these areas • Ability to think through ...

IQVIA

AI Solutions Delivery 3 (Remote)

Wayne, PA · Remote

... deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these areas Ability to think through and ...

IQVIA

AI Solutions Delivery 3 (Remote)

Wayne, PA · Remote

... deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these areas Ability to think through and ...

Merck & Co.

This opportunity will be hybrid or remote, but the remote position is only applicable for those ... Deep Learning, Drug Development, Leadership, Machine Learning (ML), MATLAB, Natural Language ...

PhillyTech.Co

$125 - $150/hr

Team oriented, collaborative environment encouraging continuous learning and ambition. * A Macbook ... Deep understanding of data modeling methodologies, including dimensional modeling, normalized ...

Aprio

Tax Manager

Bala Cynwyd, PA · On-site +1

$104K - $137K/yr

By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing ... Mentor and develop junior staff members, fostering a culture of learning, growth, and collaboration ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Our team consists of highly motivated individuals passionate about learning, understanding ... Deep understanding of distributed systems, data architecture, and modern cloud infrastructure.

Aprio

Lead Engineer (Azure)

Philadelphia, PA · On-site +1

$98K - $132K/yr

By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing ... Work with forward-thinking professionals in a culture that values learning, agility, and purpose.

Acara Solutions

Advanced Systems Engineer

Canonsburg, PA · On-site +1

$56.52 - $65.22/hr

Remote Employment Type: Contract Industry: Defense Compensation: $56.52 - $65.22 About the ... Deep expertise in Model-Based Systems Engineering methodologies * Proficiency with Cameo Systems ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... learning.These include applications of Random Matrix theory and Gaussian processes to Deep Neural ...

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Showing results 41-60

All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Pennsylvania

Remote Deep Learning information

See Pennsylvania salary details

$19.3K

$117.9K

$192.5K

How much do remote deep learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote deep learning in Pennsylvania is $117,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,279.00 and $152,509.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are the most commonly searched types of Deep Learning jobs in Pennsylvania? The most popular types of Deep Learning jobs in Pennsylvania are:
What are popular job titles related to Remote Deep Learning jobs in Pennsylvania? For Remote Deep Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning jobs in Pennsylvania look for? The top searched job categories for Remote Deep Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Deep Learning jobs? Cities in Pennsylvania with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,865 per year, or $56.7 per hour.

Software Engineering Manager - AI Data Engine

Motional

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

Mission Summary:

We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new AI Data Engine team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future!
You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements.

What You'll Be Doing:

  • Team Leadership & Management:
    • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional's Data Stack.
    • Define team goals, priorities, and roadmap in alignment with company objectives.
    • Provide technical guidance, mentorship, and career development opportunities to team members.
  • Technical Strategy & Execution:
    • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models. 
    • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training.
  • Cross-functional Collaboration:
    • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly.
    • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.

What We're Looking For:

  • Experience:
    • BS or MS in Computer Science or related field
    • 8+ years of professional experience in data platform engineering
    • 3+ years of experience in a technical lead or management role with 3-7 direct reports
    • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores. 
    • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions.
  • Technical Skills:
    • Strong programming skills in Python. C++ experience is a plus. 
    • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs.
    • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings. 
    • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company.

Bonus Points (not required): 

  • Prior experience in autonomous vehicles (AV) is a plus.
  • Prior experience with Bazel based build systems.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply