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Entry Level Apple Machine Learning Engineer Jobs in Centertown, MO

Firmware Engineer

California, MO · On-site

$160 - $200/hr

Exposure to machine learning, signal processing, controls, or data analysis in a hardware context * A degree in physics, computer engineering, electrical engineering, or a related technical ...

You have a Bachelor's degree or equivalent hands‑on experience in Computer Science, Engineering, or a related technical field. * You have a solid understanding of machine learning fundamentals and ...

We're looking for a passionate Software Developer - ML/AI Compiler to help shape the future of AI ... Understanding of machine learning model internals and training workflows. Familiarity with CUDA ...

Data Science Tutor

Columbia, MO · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Columbia, MO · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Manufacturing Operations Engineer 1

Columbia, MO · On-site

$69K - $89K/yr

Manufacturing Engineer I Position Summary The Manufacturing Engineer I is an entry-level role for a ... Foundational knowledge of manufacturing processes and methods (e.g., machining, welding, assembly ...

Manufacturing Engineer I Position Summary The Manufacturing Engineer I is an entry-level role for a ... Foundational knowledge of manufacturing processes and methods (e.g., machining, welding, assembly ...

Linear Algebra Tutor

Columbia, MO · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

You will use your extensive knowledge to assist entry-level mechanics with difficult repairs * You ... Electrical Schematic Reading Machines & technologies you'll use: * Programmable Logic Controller ...

Statics Tutor

Columbia, MO · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Showing results 41-60

Entry Level Apple Machine Learning Engineer information

See Centertown, MO 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 Centertown, MO is $63,674.00, 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 Centertown, MO are hiring for Entry Level Apple Machine Learning Engineer jobs?

Cities near Centertown, MO with the most Entry Level Apple Machine Learning Engineer job openings:

Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Centertown, MO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,674 per year, or $30.6 per hour.

Software Engineer, Code Generation

Neura Market

California, MO • On-site

$109 - $215/hr

Other

Medical, Retirement, PTO

Posted 4 days ago


Job description

MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they are increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they are broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing.

MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you will be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have
  • 2+ years of professional software development experience in Java or another programming language
  • Experience with generative AI and specifically LLMs is highly desirable
  • Experience with text processing engines such as ANTLR is highly desirable
  • Strong understanding of software engineering, system design, data engineering and/or cloud architecture
  • Have experience with compiler design, code parsing or related areas
  • Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis
  • Curiosity, a positive attitude, and a drive to continue learning
  • Actively engages in emerging trends and research relevant to product features
  • Excellent verbal and written communication skills
Position Expectations
  • Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality
  • Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract syntax tree (AST)
  • Provide thought leadership to the engineering team on using emerging technologies, frameworks and approaches to solve different problems
  • Collaborate closely with product managers and other engineers to understand business priorities and propose new solutions
  • Contribute and maintain the high quality of the codebase with tests that provide a high level of functional coverage and non-functional aspects with load testing, unit testing, integration testing, etc
  • Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices
  • Define and improve business & product metrics to optimise the quality and cost of AI usage
Success Measures

Within the first three months, you will have:

  • Familiarise yourself with the MongoDB database and aggregation language
  • Familiarise yourself with the problem space and the domain
  • Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
  • Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

  • Worked on and delivered a large‑scale AI‑based feature in the product
  • Contributed to and helped deliver a few releases of the product
  • Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

  • Delivered large‑scale features across our entire tech stack
  • Helped recruit and interview new members of the team
  • Collaborated with other teams at MongoDB
Compensation and Benefits
  • Base salary range (U.S.‑based): $109,000 — $215,000 USD
  • Equity
  • Participation in the employee stock purchase program
  • Flexible paid time off
  • 20 weeks fully‑paid gender‑neutral parental leave
  • Fertility and adoption assistance
  • 401(k) plan
  • Mental health counseling
  • Transgender‑inclusive health insurance coverage
  • Other health benefits offerings
Equal Employment Opportunity

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

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