47 Machine Learning Operations Engineer Jobs in Cupertino, CA
Apple is Hiring a Machine Learning Operations Engineer Near Cupertino, CA
Summary
Key Qualifications
- 5 years of machine learning industry experience
- Strong coding skills and experience with data structures and algorithms such as LLM, NLP, etc...
- Experience designing and building scalable distributed services
- Strong proficiency with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Experience with version control systems (e.g., Git) and infrastructure as code (e.g., Terraform, Ansible).
- Experience with machine learning algorithms and tools
- Experience with security practices in machine learning
- Experience with data management and processing pipelines
- Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
- Excellent scripting and programming skills (Python, Shell)
- Strong problem-solving and troubleshooting skills
- Excellent interpersonal skills able to work independently as well as in a team
Description
Education & Experience
Additional Requirements
- Certification in cloud platforms (AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, etc.) preferred
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.
Job Summary
Full Time
Retail
$133k-170k (estimate)
02/22/2024
06/22/2024
applegroup.com
JONESBORO, AR
25 - 50
1993
Private
MARY MARGARET SCHOLTENS
<$5M
Retail
Related Companies
About Apple
Apple Group provides embroidery and screen printing.
The job skills required for Machine Learning Operations Engineer include Machine Learning, Algorithms, Python, Computer Science, AWS, Programming, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Operations Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Operations Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Operations Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Operations Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Operations Engineer. You can explore the career advancement for a Machine Learning Operations Engineer below and select your interested title to get hiring information.
