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Entry Level Apple Machine Learning Engineer Jobs in Stockton, MD

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

Maintenance Technician III

Salisbury, MD · On-site

$28.50 - $35.50/hr

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

Maintenance Technician III

Salisbury, MD · On-site

$28.50 - $35.50/hr

You'll play a hands-on role in improving machinery performance and maintenance reliability while ... Commitment to Continuous Learning to achieve increasing levels of expertise. * Communicates ...

... expected of an entry-level professional trader. * Perform additional responsibilities and ... Bachelor's degree in agriculture, Business, Finance, Accounting, Economics, Engineering, Supply ...

... expected of an entry-level professional trader. * Perform additional responsibilities and ... Bachelor's degree in agriculture, Business, Finance, Accounting, Economics, Engineering, Supply ...

Entry Level Apple Machine Learning Engineer information

See Stockton, MD salary details

$27.5K

$63.7K

$108.3K

How much do entry level apple machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level apple machine learning engineer in Stockton, MD is $63,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $72,100.00 per year, depending on experience, location, and employer.

What does an entry level Apple machine learning engineer do?

An Entry Level Apple Machine Learning Engineer helps design, develop, and implement machine learning models and algorithms for Apple products and services. They work closely with senior engineers and data scientists to collect and analyze data, build prototypes, and improve the performance of machine learning systems. Responsibilities often include coding, model evaluation, and collaborating with cross-functional teams to integrate ML solutions into Apple’s ecosystem. This role is ideal for those with a strong foundation in programming, statistics, and a passion for innovative technology.

What are the key skills and qualifications needed to thrive as an entry level Apple machine learning engineer?

To thrive as an Entry Level Apple Machine Learning Engineer, you generally need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and coursework in machine learning. Familiarity with programming languages such as Python or Swift, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of Apple's development tools like Core ML are typically required. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and contribute innovative solutions in a dynamic tech environment. These competencies are crucial for developing and optimizing machine learning models that power Apple's products and services.

What are some common challenges faced by entry level Apple machine learning engineers, and how can they overcome them?

Entry-level Machine Learning Engineers at Apple often encounter challenges such as adapting to the company's fast-paced innovation cycle, understanding large and complex codebases, and collaborating with cross-functional teams. To overcome these hurdles, it's important to proactively seek mentorship, participate in code reviews, and familiarize oneself with Apple's internal tools and documentation. Regular communication with peers and senior engineers can also help accelerate the learning curve and foster a collaborative environment that encourages innovation and knowledge sharing.

What is the difference between Entry Level Apple Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Apple Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, ML, or related; knowledge of ML frameworksBachelor's in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech company, R&D, product developmentData analysis, research, business insights
Employer & Industry UsageApple, consumer electronics, softwareVarious industries including tech, finance, healthcare
Common Search & ComparisonYesYes

Entry Level Apple Machine Learning Engineers focus on developing ML models for Apple products, requiring knowledge of ML frameworks and programming. Entry Level Data Scientists analyze data to derive insights, often with statistical expertise. While both roles involve data and programming, ML Engineers emphasize model deployment, whereas Data Scientists focus on data analysis and reporting.

What cities near Stockton, MD are hiring for Entry Level Apple Machine Learning Engineer jobs?

Cities near Stockton, MD with the most Entry Level Apple Machine Learning Engineer job openings:

Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Stockton, MD as of June 2026, with employment types broken down into 7% As Needed, 11% Full Time, 74% Part Time, 4% Temporary, and 4% Contract. Highlights an 56% Physical, and 44% Remote job distribution, with an average salary of $63,671 per year, or $30.6 per hour.

Entry Level SSDS MK2 Maintenance Technician with Security Clearance

PMAT

Wallops Island, VA • On-site

$18.75 - $22/hr

Contractor

Re-posted 23 days ago


Job description

Ship Self Defense System (SSDS) - Wallops Island, Virginia This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. At PMAT, we work on mission critical systems that directly support the warfighter, designing, building, and securing modern digital capabilities across cloud, data, and software environments. Our teams tackle complex, real-world challenges where delivery matters more than theory, and innovation is driven by curiosity, collaboration, and purpose. In this role, you’ll contribute to the U.S. Navy Ship Self Defense System (SSDS) program, working alongside engineers, technicians, and fleet operators to ensure mission-critical combat systems remain fully operational and ready to support national defense. About the role: As an SSDS Maintenance Technician, you will play a critical role in supporting the operational readiness of the U.S. Navy's Ship Self Defense System (SSDS). Working onsite at Wallops Island, Virginia, you'll perform hands-on maintenance, diagnostics, troubleshooting, and system restoration activities on complex combat system equipment. Every day presents new technical challenges as you collaborate with experienced engineers, technicians, and government personnel to maintain and improve mission-essential capabilities that directly support the Fleet. If you enjoy solving complex technical problems and take pride in ensuring systems perform when they are needed most, this is an opportunity to make a meaningful impact supporting our nation's defense. Responsibilities: * Perform preventive and corrective maintenance on Ship Self Defense System (SSDS) equipment and associated subsystems.
* Assess, troubleshoot, isolate, and resolve hardware and system-level faults using technical documentation and diagnostic tools.
* Conduct operational testing and verification following maintenance activities to ensure systems meet performance requirements.
* Document maintenance actions, troubleshooting activities, and system status in accordance with customer procedures.
* Support scheduled maintenance periods, system upgrades, and equipment installations.
* Collaborate with engineers, government personnel, and fellow technicians to resolve complex technical issues.
* Maintain compliance with established safety, security, and quality assurance procedures.
* Assist in identifying equipment reliability improvements and recommending corrective actions when appropriate. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether you’re an experienced engineer or just beginning your career, you’ll work alongside experts who are committed to solving mission-critical problems. If you’re passionate about using your skills to make a real difference, apply today and become part of a team that’s shaping the future of defense technology! Required Skills and Experience: * Minimum two (2) years of demonstrated experience assessing, troubleshooting, and performing corrective and preventive maintenance on Ship Self Defense System (SSDS) equipment or similar electronic combat systems.
* Experience diagnosing hardware, electronic, or integrated system faults using technical documentation and test equipment.
* Ability to interpret technical manuals, schematics, maintenance procedures, and engineering documentation.
* Experience documenting maintenance actions and following established maintenance processes.
* Ability to work independently and collaboratively within a technical team environment.
* Strong troubleshooting, analytical, and problem-solving skills.
* Effective verbal and written communication skills. Preferred Skills and Experience: * Experience supporting U.S. Navy combat systems, weapons systems, or integrated shipboard electronic systems.
* Familiarity with Navy maintenance procedures and technical documentation.
* Experience supporting system installation, integration, or testing activities.
* Prior military service supporting Navy combat systems or equivalent defense contractor experience.
* Experience working in a Department of Defense environment.
* Familiarity with configuration management and quality assurance processes. Education and Certification Requirements: * High school diploma or GED required.
* Associate degree in Electronics Technology, Electrical Engineering Technology, or a related technical discipline preferred.
* Relevant military technical training may be substituted for formal education where applicable. Citizenship and Clearance requirements: * U.S. Citizenship required
* No dual citizenship
* Active Secret clearance required
* Active Top Secret clearance preferred Location/Address: * Onsite
* Wallops Island, Virginia Travel & Passport: * Under 10% travel.
* Primarily CONUS travel for occasional customer meetings, technical support, or training. Work Environment: * PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ