Summary
Posted: Nov 21, 2024
Role Number:200580040
Are you ready to shape the future with cutting-edge technology? As a Machine Learning Software Engineer, you'll have the opportunity to design, develop, and deploy intelligent systems that solve real-world problems and redefine possibilities. In this role, you'll harness the power of data to build innovative algorithms, optimize performance, and craft scalable solutions that drive impactful change. You'll collaborate with visionary teams, explore the latest in AI research, and transform ideas into actionable outcomes. If you're passionate about coding for a smarter, more connected world, and thrive in an environment where creativity meets technical mastery, this is your chance to make a difference and leave your mark on the future of technology. Join us, and let's engineer a brighter tomorrow together!
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Description
We are seeking a talented and motivated ML Platform Engineer to design, develop, and maintain scalable systems for evaluation and continuous optimization in support of Apple Intelligence products. You will work in a highly cross-functional, fast-paced environment at the intersection of applied machine learning (ML) and product teams. Your primary responsibility will be to create robust, reliable, and scalable platforms that enable continuous improvement of ML models and products through systematic evaluation and optimization. - Design and implement scalable platforms for the evaluation and continuous optimization (hill climbing) of ML-based products. - Collaborate with applied ML and product teams to align technical solutions with business and product goals. - Ensure platforms meet high standards for scalability, performance, and fault tolerance. - Actively contribute to the development of best practices for system design and engineering processes.
Minimum Qualifications
- Strong experience in designing and deploying large-scale, reliable, and scalable systems.
- Proficiency in one or more programming languages commonly used in ML and systems engineering (e.g., Python, Swift).
- Strong problem-solving and analytical skills with a focus on delivering practical solutions in complex environments.
Preferred Qualifications
- Familiarity with ML workflows, tools, and techniques, and their application in product environments.
- Excellent communication and collaboration skills for cross-functional teamwork.
- Experience in working in a fast-paced, iterative development environment with diverse stakeholders.
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 $175,800 and $312,200, 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.
More
- 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.