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Remote Deep Learning Engineer Jobs in Pennsylvania

Senior AI/ML Engineer

King Of Prussia, PA ยท On-site +1

$82K - $172K/yr

... deep learning architectures โ€ข Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket) โ€ข Bachelor's degree in Machine Learning, Computer Science, Mathematics, or ...

New

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

A.I. Manager

PA ยท On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

... engineering teams * Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures * Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are seeking a Senior Data Engineer with deep expertise in database design ...

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Remote Deep Learning Engineer information

See Pennsylvania salary details

$11K

$84.1K

$140.3K

How much do remote deep learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote deep learning engineer in Pennsylvania is $84,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $139,300.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

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

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What cities in Pennsylvania are hiring for Remote Deep Learning Engineer jobs? Cities in Pennsylvania with the most Remote Deep Learning Engineer job openings:
Postdoctoral Data Analytics Computational Sciences

Postdoctoral Data Analytics Computational Sciences

Johnson and Johnson

Reading, PA โ€ข On-site, Remote

$39K - $52K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Career Programs
Job Sub Function:
Post Doc - Data Analytics & Computational Sciences
Job Category:
Career Program
All Job Posting Locations:
Spring House, Pennsylvania, United States of America
Job Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Position Overview - Tasks & Responsibilities:
The Computer Vision team at Johnson & Johnson Innovative Medicine is seeking an outstanding postdoctoral researcher for application of advanced AI/ML methods to microscopic images of clinical and preclinical histopathology. The ideal candidate is knowledgeable, self-motivated, and creatively inclined with strong interest and extensive experience in computer vision, deep learning, and medical image analysis. The position will focus on application and refinement of J&J's deep learning algorithm portfolio to quantitate histopathology, in addition to implementation of novel state of the art techniques. These innovative technologies improve our understanding of cellular organization and tissue structure, ultimately enhancing clinical trial efficacy and efficiency. This position offers the opportunity to work within a cross-functional team in a pharmaceutical environment. In addition to gaining technical exposure through the various projects the team is undertaking, you will also gain valuable insights into how robust and scalable algorithms are developed to support clinical trials, under the mentorship of experienced scientists, while contributing to initiatives aimed at improving global health.
Key Responsibilities:
  • Conceive, design, develop, implement and validate innovative computer vision solutions addressing high-priority challenges in microscopy.
  • Collaborate closely both with internal and external cross-functional teams of scientists, engineers, and clinicians, to advance algorithm and product development to improve project outcomes.
  • Shape internal and external collaborations and define scope of research questions
  • Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision-making.
  • Extract insight from complex, unstructured microscopy images to improve drug discovery and healthcare (e.g., disease identification, patient stratification, disease insights, therapy response).
  • Prepare and draft manuscripts outlining development methodologies to contribute to the scientific community.

Qualifications
  • Ph.D. degree completed with in 2-3yrs, or Ph.D. candidate with a confirmed defense date within 3 - 4 months. in a field related to deep learning, such as computer science, physics, mathematics, applied mathematics, computer science/artificial intelligence, or related engineering disciplines. Equivalent experience will also be considered.
  • Strong publication record with the ability to effectively communicate technical work to a broad audience. Publications in conferences such as CVPR, ICLR, ICCV, ICML, MICCAI, ACL, and NEURIPS are preferred but not mandatory.
  • Demonstrated deep experience researching and applying state-of-the-art computer vision techniques (e.g., Transformers, CNNs, RNNs, GANs, foundation models /self-supervision, panoptic segmentation, weakly supervised learning, few/zero-shot learning, etc)
  • Demonstrated experience in classical machine learning methods such as random forests, SVMs, etc.
  • Extensive experience applying, extending, and optimizing traditional image processing mathematics and methods (edge detection, thresholding, color transformations, morphological processing, etc)
  • Experience with microscopy images such as histopathology, confocal, or fluorescence microscopy.
  • Strong proficiency in Python and a related deep learning library (tensorflow, pytorch).
  • Fluent in English.
  • Strong communication & interpersonal skills.
  • Ability to work in a matrix organization and participate effectively both independently and as part of multiple teams.
  • Capacity to work under strict timelines.

Preferred Experience
  • Experience with multimodal AI.
  • Familiarity with drug discovery and clinical development processes.
  • Experience working closely with healthcare professionals.
  • Experience with meaningful disease biology in oncology, immunology, neuroscience, cardiovascular, or infectious disease.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
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Required Skills:
Preferred Skills:
The anticipated base pay range for this position is :
$79,000.00 - $127,650.00
Additional Description for Pay Transparency:
Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. โ€ข Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). โ€ข Employees are eligible for the following time off benefits: -Vacation - up to 120 hours per calendar year -Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year -Holiday pay, including Floating Holidays - up to 13 days per calendar year -Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.