AIML - Sr. Software Development Engineer, ML Platform ...

AIML - Sr. Software Development Engineer, ML Platform Technology (MLPT) Santa Clara,California,United States Machine Learning and AI Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products and services? Do you want to shape the next generation of ML developer experience? In Apple's Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing LLM, vision and other machine learning applications. As a software engineer on our team, you will be responsible for designing & building services and functionalities for the model training software systems that are part of this platform! Our platform is built using a variety of systems and services, from databases, to web services, to search engines, data- lakes and graph engines hosted on the cloud. We use existing systems when possible, but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, from machine learning engineers to builders of large-scale production systems. We exemplify a team of inclusive, hard-working, pragmatic, proficient, product-focused engineers. Come join us! Description As a software engineer on the Training Platform team, you have the following responsibilities: - Contribute to the architecture, design, development, and operations of large-scale systems designed for machine learning. These may include, but not limited to: data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components. - Partner with data scientists and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. - You will help build the platform upon which other teams will develop data pipelines and machine learning applications. - Collaborate with a group of engineers to deliver high quality products/services. - Be able to learn and stay on top of current technologies and apply them in the job. - Contribute to the services (ML Training & Eval Metrics, Lineage, Query & Search) that power the ML lifecycle at Apple. Minimum Qualifications Experience with delivering user experiences in the form of Web Services built using Java and SpringBoot Experience with developing and deploying on a Kubernetes based infrastructure is required Experience running reliable production services with focus on observability and monitoring A passion for data engineering, search and information retrieval Bachelors in Computer Science, or equivalent industry work experience Key Qualifications Preferred Qualifications Experience with BigData ecosystem Spark, Flink or equivalent is desired Experience with Solr, Lucene or OpenSearch is desired Experience with delivering analytics backend services is a huge plus, where exposure to query engines like Trino or equivalent is desired Masters or a PhD in Computer Science, or equivalent industry work experience 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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and 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 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.Learn more about your EEO rights as an applicant. ( 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 you're 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) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Created: 2024-11-01