ML Data Operations & Quality Engineer
Job Description
SummaryPosted: Feb 15, 2024
Role Number:200538451
The Gatos team is a cross discipline, production and research data annotation team within Video Engineering. We are looking for a team member to join our operations team! You will work alongside other ops engineers, data scientists, software engineers, and machine learning research engineers to help deliver some of the most crucial data to deep rooted algorithm development that is used to drive functionality to millions of devices and users all over the world. You will use a combination of technical and soft skills to help coordinate requests across dozens of internal partners.
Key Qualifications
- 3+ years working on a multi-functional software development team (Product, QA, testing etc)
- Ability to drive large scale and multifaceted projects across many teams with varying degrees of complexity
- Proven understanding of software development lifecycle, testing methodologies, and testing tools
- Experience with Python, Javascript, SQL
- Experience diagnosing and debugging complex systems
- Experience solving data and production issues.
- Experience developing reporting dashboards and reports, enabling reporting to multi-functional partners
- Strong written and verbal communication skills
- Project management and people management would be a bonus.
Description
We are seeking a Machine Learning Data Operations Engineer, with a strong understanding of the complex relationship that is found in the Machine learning and data annotation space. You'll be managing large scale data projects while simultaneously adding and updating to the existing systems or operational workflows. These systems are present in the platform and infrastructure currently used for data annotation, and analysis. The position will require the ability to collaborate with other operations engineers, internal algorithm development teams, software and hardware developers, data collection teams, and external labeling teams. Teams will be spread across timezones and countries requiring collaboration and skills found in many disciplines. The ideal candidate will have experience and background in QA and test automation as well as understanding of ML systems.
Education & Experience
BS and a minimum of 3 years relevant industry 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 $125,800.00 and $229,400.00, 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.
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