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Entry Level Apple Machine Learning Engineer Jobs in Solon, OH

Design and develop machine learning and deep learning models for real-world applications * Build ... Strong programming skills in Python (and/or Java, C++) * Experience with machine learning ...

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data ...

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data ...

DUTIES & RESPONSIBILITIES · Design and develop machine learning and deep learning models for real ... feature engineering, and data validation · Implement APIs and integrate AI models into existing ...

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

AI Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists ...

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML. * Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.

Data Engineer

Highland Heights, OH · On-site

$115K - $138K/yr

Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML. * Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML. * Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

Showing results 21-40

Entry Level Apple Machine Learning Engineer information

See Solon, OH salary details

$27.9K

$64.5K

$109.7K

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

As of Sep 14, 2026, the average yearly pay for entry level apple machine learning engineer in Solon, OH is $64,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $73,000.00 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 Solon, OH are hiring for Entry Level Apple Machine Learning Engineer jobs?

Cities near Solon, OH with the most Entry Level Apple Machine Learning Engineer job openings:

Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Solon, OH 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 $64,480 per year, or $31 per hour.

AI Engineer

Cleveland, OH • On-site

Flexjet LLC
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees

Other

Re-posted 9 days ago


Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to build scalable AI systems that drive business value and enhance user experiences.

Duties & Responsibilities
  • Design and develop machine learning and deep learning models for real-world applications
  • Build, test, and deploy AI/ML pipelines in production environments
  • Collaborate with cross‑functional teams to translate business needs into AI solutions
  • Optimize model performance, scalability, and reliability
  • Work with large datasets: preprocessing, feature engineering, and data validation
  • Implement APIs and integrate AI models into existing systems
  • Monitor model performance and retrain as needed
  • Stay up to date with the latest advancements in AI and machine learning
Required Skills & Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • Strong programming skills in Python (and/or Java, C++)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‑learn)
  • Solid understanding of algorithms, data structures, and software engineering principles
  • Experience with data processing tools (e.g., Pandas, NumPy, SQL)
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
  • Knowledge of RESTful APIs and microservices architecture
Preferred Qualifications
  • Experience with NLP, computer vision, or generative AI
  • Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines)
  • Experience deploying models at scale in production environments
  • Knowledge of big data technologies (e.g., Spark, Hadoop)
  • Understanding of AI ethics and responsible AI practices
  • Problem‑solving and analytical thinking
  • Strong communication and collaboration skills
  • Ability to work in a fast‑paced, agile environment
  • Attention to detail and commitment to quality
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