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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Apple Machine Learning Ops Engineer (MSO) in Cupertino, California

Machine Learning Ops Engineer (MSO)

Santa Clara Valley (Cupertino),California,United States

Machine Learning and AI

Our ever-evolving suite of Heath and Wellness products for iPhone and Watch are helping our users live more active, healthier lives. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same dedication to innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. AC Wellness Network LLC is a subsidiary of Apple Inc. and is the dedicated management services organization (MSO) for AC Wellness, a dedicated independent medical group that serves Apple Wellness Centers in Santa Clara Valley. Our mission is to deliver the world’s best healthcare experiences for Apple employees. The Health Special Projects MSO team is looking for an extraordinary ML Ops Engineer with a background in large scale engineering projects. You will enjoy building services that Data Science and Application developers will leverage to shape exceptional experiences for our employees and customers.

Key Qualifications

  • 5+ years experience designing and implementing modular, composable services, using state-of-the-art technology stacks

  • 1+ years of experience Collecting and Analyzing ML performance metrics

  • 2+ years working on highly available, high-volume, low latency services at scale

  • 2+ years working in AWS w/ container services (preferred experience in k8s).

  • Preferred Experience Airflow in AWS

  • Preferred Experience in Go, Java or Kotlin

Description

An ML Ops Engineer would help our Data Science team collect metrics around model performance as well as do rapid experimentation while also supporting some Data Engineering tasks to aid the Data Science team in tracking and analyzing results. You are ready to solve big problems, enjoy working in an agile and dynamic multi-functional team, love data, and want to make a huge impact in health. Some of your characteristics include: - Experience building highly available and fault tolerant systems - Experience with software development tools on Linux - Understands and can implement the lifecycle of ML development - Experience with ML Experimentation tools and workflows - Proven track record of shipping services in production environments for consumer facing products - Experience managing performance, application and security log management - Strong coding experience and capable of picking up new languages - Strong analytical thinking to solve challenging problems - Excellent communication and collaboration skills - Excellent problem solving and analytical thinking skills

Education & Experience

BS, MS, or PhD in Computer Science, or equivalent experience

Additional Requirements

    • Experience handling Pen Testing and Secure Applications is a plus

    • Works well in and across teams
    • Works well in a self directed environment
    • Comfortable with weekly on-call rotation
    • Reliable and responsive to support the team’s needs
    • Nice to have experience handling Pen Testing and Secure Applications
    • This is a site-based role

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 (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.

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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. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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