Machine Learning Infrastructure Engineer

Summary Posted: Apr 8, 2024 Weekly Hours: 40 Role Number: 200546642 Our team is on a mission to bring the latest machine-learning techniques to the field of software development. We want to make it easier for our developers to write, build, and test their code. We firmly believe that providing better, more intelligent tools and infrastructure to our developers will help unlock their creativity and innovation, which Apple’s customers will experience in our products. Our team is looking for backend infrastructure developers well-versed in Swift to join us in our efforts. As part of our team, you will be developing novel ML tools and frameworks focused on scalable evaluation of generative models. This work will touch on all stages of the code lifecycle: coding, testing, building, and deployment. If you are a backend engineer, with a passion for ML, who enjoys building new systems and adapting them to a constantly evolving field, then we have many exciting problems for you to work on! You would join a tight-knit team of scientists and engineers who build exciting new technology, and have fun while doing so. Key Qualifications Key Qualifications Expertise in designing, building, and scaling backend systems. Advanced proficiency with and deep knowledge of the Swift programming language and ecosystem. Ability to efficiently develop, debug, and support new technologies in a changing environment. Excellent collaborative skills, with strong written and verbal communication. Project leadership skills including goal setting, alignment, and delegation. Description Description Our team designs and builds innovative and intelligent tools for our developers. You will be able to bring your expertise in building and scaling backend systems, as well as your knowledge of Swift, to our unique problem domains. Your efforts will directly improve the machine learning workflow of both our team as well as many partner teams, whose scientists leverage our evaluation infrastructure to guide their experiments. You will be part of a data-driven team, analyzing the friction and cost associated with the scale at which we develop and ship complex software and systems. You will help design, build, and support large-scale model evaluation systems that support today’s models as well as tomorrow’s. You will collaborate closely with other developers to build a sophisticated solution, as well as stakeholders to understand requirements to help adopt your solutions and measure your impact. You will be most successful here as a flexible and proactive engineer who thrives in a supportive, respectful, and balanced work environment with interesting and challenging problems to tackle. You have excellent judgment and integrity with the ability to make timely and sound decisions. You know how to drive constructive technical discussions, learn from your team, and use your experience to advocate and teach others. In your role as a machine learning infrastructure engineer on our team you will: - Spend most of your time working on data and machine learning systems. - Collaborate with your teammates to help understand problems, define requirements and work with teams to implement long lasting solutions. - Engage with other teams to help identify issues and establish long-term relationships that include knowledge sharing. - Provide valuable feedback loops to model training teams backed by data and metrics. - Develop expertise and be given ownership over components critical to Apple’s success. - Contribute to engineering a high-performance system through architectural design, algorithmic optimization, and performance tuning. - Have access to the engineers who create Apple’s full technology, tools, and operating systems stack. HERE YOU’LL FIND THAT WE: - Have a wide range of experience, from new engineers to Apple veterans. - Have several ML industry veterans to help lead and grow members of our team and organization. - Have an encouraging and growth-focused workplace culture. - Encourage you to use accrued vacation time and maintain a healthy work-life balance! Education & Experience Education & Experience MS or PhD in Computer Science or related 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 $170,700.00 and $256,500.00, 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. 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.