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Apple AIML - Senior Software Engineer ML Platform & Technology MLPT United States, California 569266471
18.11.2024
Description
You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.
Minimum Qualifications
- Bachelors in Computer Science, engineering, or a related field
- Demonstrated ability in software engineering with a focus on distributed systems
- Proven experience in building complex micro-services
- Experience with cloud platforms such as AWS, GCP, or Azure
- Proficiency in programming languages such as Python, Java, or Go
- In depth knowledge of distributed systems including: consistency, availability, and fault tolerance
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Strong communication and collaboration abilities
Preferred Qualifications
- Advance degrees in Computer Science, engineering, or a related field
- Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow)
- Experience with CI/CD processes and tools
- Experience with MLOps practices and tools
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 $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.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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