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Apple

Machine Learning Engineer, Applied Machine Learning

🌎

Sunnyvale, California, United States

2d ago
👀 8 views
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Job Description

Description

Description
The ML Engineer will work on solving real-world business problems by building and deploying machine learning models into scalable web applications and backend services. You will be responsible for integrating various technologies to operationalize models, creating seamless and impactful user experiences. This role requires hands-on experience with Python for backend development and integration, strong problem-solving skills, and the ability to work effectively in a cross-functional team. In addition to coding, you will collaborate closely with ML scientists and cross-functional partners to articulate technical methodologies and bring models into production environments. You’ll contribute to creating solutions that directly enhance user interactions and impact the overall user experience. If you have frontend development experience, you’ll have the opportunity to shape the user interface (UI) of our ML-driven applications, driving how users interact with our models. We are looking for a creative problem solver with a solid background in backend development, API integration, and scalable application deployment. Familiarity with large-scale datasets, data-driven applications, and machine learning model deployment will be highly valued. This is an exciting opportunity to work alongside dedicated colleagues, brainstorm new ideas, and build solutions that drive significant business outcomes.

Minimum Qualifications

Minimum Qualifications
  • 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
  • Strong hands-on experience in software engineering, with expertise in Python for backend development and integration.
  • Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team.

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • Experience with frontend development using ReactJS or similar frameworks.
  • Proven experience in deploying machine learning models into production environments.
  • 5+ years of industry experience
  • Experience handling large-scale datasets and data-driven applications.
  • Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.
  • Strong understanding of web security best practices and performance optimization.

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

Pay & Benefits

Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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