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Remote Computer Science Apprenticeship Jobs in Philadelphia, PA

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Staff Software Engineer

Horsham, PA ยท Remote

$80 - $90/hr

Staff Software Engineer, location is REMOTE. The start date is ASAP for this contract to hire ... Bachelor's degree in Computer Science, Engineering, or related field * 10 years of professional ...

Data Scientist

Conshohocken, PA ยท On-site +1

$175K/yr

... Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly ... Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a ...

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

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Remote Computer Science Apprenticeship information

What is a remote computer science apprenticeship?

A Remote Computer Science Apprenticeship is a structured training program that allows individuals to learn computer science skills and gain real-world experience while working from a location outside of a traditional office, usually from home. Apprentices work under the guidance of experienced mentors, participate in projects, and develop both technical and soft skills relevant to the field. This model offers flexibility and accessibility, making it possible for people from various backgrounds or locations to enter the tech industry. Apprenticeships typically combine hands-on work with coursework or online learning, preparing participants for full-time roles in software development, IT, or related fields.

What are the key skills and qualifications needed to thrive as a remote computer science apprentice?

To thrive as a Remote Computer Science Apprentice, you need a foundational understanding of programming languages, algorithms, and data structures, often supported by coursework or relevant certifications. Familiarity with code collaboration tools like Git, integrated development environments (IDEs), and basic cloud services is typically expected. Strong problem-solving, self-motivation, and effective communication are crucial soft skills, especially when working remotely. These abilities ensure you can learn efficiently, contribute to projects, and collaborate with mentors and teams in a distributed work environment.

What are the main challenges faced by remote computer science apprentices, and how can they be addressed?

Remote computer science apprenticeships often come with unique challenges such as limited face-to-face interaction, difficulty in accessing immediate support, and the need for self-discipline in managing time and tasks. To address these, it's important to proactively communicate with mentors through scheduled video meetings, participate in online team discussions, and utilize project management tools to stay organized. Seeking feedback regularly and engaging with online communities can also help bridge the gap and create a supportive learning environment.

What is the difference between Remote Computer Science Apprenticeship vs Remote Software Developer?

AspectRemote Computer Science ApprenticeshipRemote Software Developer
Required CredentialsTypically no prior experience, some programs accept beginnersOften requires a degree or proven coding skills
Work EnvironmentTraining-focused, mentorship, learning phaseProject-focused, independent coding tasks
Employer & Industry UsageUsed by tech companies for entry-level trainingUsed by companies for ongoing development roles

The Remote Computer Science Apprenticeship is designed for beginners entering the tech industry, emphasizing training and mentorship. In contrast, a Remote Software Developer role involves applying skills to real projects, often requiring prior knowledge. While apprenticeships focus on learning, software developer positions are more about executing development tasks remotely.

What are popular job titles related to Remote Computer Science Apprenticeship jobs in Philadelphia, PA?

For Remote Computer Science Apprenticeship jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Apprenticeship jobs in Philadelphia, PA look for?

The top searched job categories for Remote Computer Science Apprenticeship jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Computer Science Apprenticeship jobs?

Cities near Philadelphia, PA with the most Remote Computer Science Apprenticeship job openings:

Infographic showing various Remote Computer Science Apprenticeship job openings in Philadelphia, PA as of August 2026, with employment types broken down into 66% Full Time, 25% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Staff Computer Vision AI/ML Engineer

King Of Prussia, PA โ€ข Remote

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New


Job description

Job Title: Staff Computer Vision AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Anticipated Posting End: 12/31/2026 The Opportunity: This position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment.

You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations. Responsibilities: Our ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains.

This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio. As a CV AI/ML Engineer, your responsibilities include: Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing Analyzing and pre-processing large remote sensing datasets Researching supervised and unsupervised ATR solutions for remote sensing Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications Writing technical documentation supporting code, program capabilities and user-guides Qualifications: Required: Active TS/SCI Clearance B.S

in Data Science, AI/ML, Computer Science, or related field 10+ years of experience, preferably in software development or as a data scientist with 5+ years of developing/training AI/ML model Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.) Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers Desired: MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL) Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc

Experience with version control processes and tools for code version control, data version control, and model version control Experience with Linux Experience with implementing tracking and fusion, and pattern-of-life algorithms Experience in application deployment, virtualization, and containerization Experience shaping and writing proposals Active TS/SCI U.S. Government Security Clearance with Polygraph - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do

As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day.

You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities.

Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $114,600-$252,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.