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Entry Level Apple Machine Learning Engineer Jobs in Arnold, PA

Senior AI Research Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking ...

Software Perception Engineer The Software Perception Engineer designs, implements, and tests ... This position combines hands-on software development, machine learning workflows, and rigorous ...

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking ...

Staff AI Research Engineer

Pittsburgh, PA · On-site

$220K - $331K/yr

The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed ...

Lead AI Engineer

Pittsburgh, PA

$99K - $131K/yr

We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic ... Practical experience in building, developing, and productionizing machine learning systems

Showing results 21-40

Entry Level Apple Machine Learning Engineer information

See Arnold, PA salary details

$26.7K

$61.8K

$105.1K

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

As of Aug 21, 2026, the average yearly pay for entry level apple machine learning engineer in Arnold, PA is $61,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,800.00 and $69,900.00 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 Arnold, PA are hiring for Entry Level Apple Machine Learning Engineer jobs?

Cities near Arnold, PA with the most Entry Level Apple Machine Learning Engineer job openings:

Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Arnold, PA as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 65% Full Time, 9% Part Time, 21% Contract, and 2% Nights. Highlights an 48% Physical, and 52% Remote job distribution, with an average salary of $61,752 per year, or $29.7 per hour.

Assistant AI Security Software Engineer with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

Other

Retirement

Re-posted 27 days ago


Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Assistant AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission. Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more. Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come. Key Responsibilities * Develop machine learning-based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
* Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
* Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
* Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
* Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
* Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team Minimum Qualifications * BS in computer science, machine learning, cybersecurity, statistics, or related discipline.
* Understanding of software engineering principles and system design.
* Experience with containerization and microservices architectures.
* Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%). * You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance. Preferred Qualifications * Experience applying statistical modeling and advanced data analytics techniques
* Background in developing AI/ML solutions in real-world settings
* Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
* Experience and knowledge in cybersecurity best practices
* Demonstrated ability to quickly learn and adapt to new technologies and domains
Why Join Us * Contribute to a world-class organization with significant impact on software and national security
* Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
* 8% employer retirement contribution (no employee contribution required)
* Tuition benefits for employees and their dependent children
* Flexible work arrangements and strong work-life balance
* Paid parental and military leave
* Professional development opportunities, including conference attendance and certifications
* Qualify for relocation assistance and so much more. Location
Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
Salary
More Information: * Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.
* Click here to view a listing of employee benefits
* Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
* Statement of Assurance