AIML - Senior Full-Stack Software Engineer - ML Platform & Technology

AIML - Senior Full-Stack Software Engineer - ML Platform & TechnologySeattle,Washington,United StatesMachine Learning and AIWould you like to join us in building the next generation of machine learning platform powering Apple's intelligent experiences across: hardware, software and service products? We are looking for senior full stack software engineer who’s passionate about machine learning tooling! Ideal, you need to be proficient in full stack development and skills in: web, mobile or desktop app development. You should have a passion in UX and a strong record of building and shipping applications. You will work closely with an extraordinary ML infra and platform team to build tooling and enable faster integration for bringing ML ideas into Apple products.DescriptionOur team is a part of a group within Apple’s ML platform organization, that enables ML teams to support ML lifecycle project, such as: data engineering, labeling, training, online and offline evaluation, experimentation and more. Within our group, you will closely collaborate with: design, backend infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. Our team takes full ownership of both web frontend and backend projects.Minimum QualificationsDeep knowledge in frontend, backend and cloud technologies like: TypeScript, React, etc.; Golang, GraphQL, SQL/NoSQL databases, ElasticSearch, Kafka etc; AWS, GCP, Azure, K8s etcYou have a strong and continued record of delivering high impact projects through partnership across organization boundaries with: product, design and infrastructure teamsYou have a minimum of 5 years developing and maintaining rich web applications for data intensive systemsBachelors in Computer Science, or in a related fieldKey QualificationsPreferred QualificationsGood sense of design and passion for UX and developer experienceAbility to clearly and concisely communicate about technical and architectural problems and work with key partners to iteratively solve the problemsExperience in machine learning is a plus but not requiredEducation & ExperienceAdditional RequirementsPay & BenefitsAt 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 $166,600 and $296,300, 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.Learn more about your EEO rights as an applicant. ( FooterApple 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) .