Machine Learning Infrastructure Engineer

Machine Learning Infrastructure Engineer Cupertino,California,United States Software and Services 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 Apples customers will experience in our products. We are looking for tools and infrastructure developers to join us in our efforts. As part of our team, you will be developing novel machine learning 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 software engineer, with a passion for machine learning, who enjoys building new systems and adapting them to a rapidly evolving field, then we have many exciting problems for you to work on You will join a tight-knit team of research scientists and engineers to tackle technical and human-centered challenges and have fun while doing so Description Our team designs and builds innovative and intelligent tools for our developers. You will be able to bring your experience in building and scaling backend systems to our unique problem domains. Your efforts will directly improve the machine learning workflow of both our team as well as a number of 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 todays models as well as tomorrows. 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 judgement 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. - Develop proficiency with and knowledge of the Swift programming language and ecosystem. - 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 Apples success. - Contribute to engineering a high-performance system through architectural design, algorithmic optimization, and performance tuning. - Have access to the engineers who create Apples full technology, tools, and operating systems stack. Minimum Qualifications 3 years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models. Understanding of machine learning, deep learning, natural language processing, distributed systems, reliability and scalability, containerization, and cloud platforms. Ability to efficiently develop, debug, and support new technologies in a changing environment. Strong problem-solving skills and ability to write production-quality clean code. Key Qualifications Preferred Qualifications Excellent collaborative skills, with strong written and verbal communication. Positive and respectful attitude in a diverse environment. Education & Experience Additional Requirements 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 $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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 (https://www.apple.com/careers/us/benefits.html) 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) Apple Footer 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . 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