Software Engineer, ML Platform
4 weeks ago
Job Description:
As a software engineer on Apple's Machine Learning Platform Technology & Infra team, you will design and build services to accelerate and improve the model lifecycle process.
Key Responsibilities:
- Design and build services to accelerate and improve the model lifecycle process
- Work with customers and partners across Apple to implement REST API services and client SDKs using Golang in combination with Open API
- Monitor, measure, test, and optimize the performance, uptime, and usability of services managed in cloud-based (Kubernetes) architecture
- Support customer and partner integrations across a wide range of ML-focused use cases
Requirements:
- 3+ years engineering experience and strong background in computer science: distributed systems, algorithms, and data structures, APIs, and highly scalable, reliable systems and microservices
- Strong skills coding in Golang (3+ years): sophisticated approach to interfaces, concurrency, generics, channels, and unit tests
- Focus on robust API-based services and client SDKs, including unit and integration tests
- Passionate about building systems that will stand the test of time and be supported by a team
- Excellent interpersonal skills for connecting across teams and partners
- Bachelors in Computer Science or equivalent industry work experience
Preferred Qualifications:
- Familiar with pod-based service deployment and operations in Kubernetes
- Experience with OpenAPI/Swagger, including commonly used specs, generation of clients, and documentation
- Familiar with observability, telemetry, and monitoring tooling such as Prometheus, OpenTelemetry, Splunk, Jaeger, Grafana
- Coding skills in Python-based SDK development: 2-5 years, intermediate or higher
Benefits:
- Comprehensive medical and dental coverage
- Retirement benefits
- Range of discounted products and free services
- Reimbursement for certain educational expenses
- Discretionary bonuses or commission payments
Apple is an equal opportunity employer:
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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