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Apple
Software Engineer for AI and Data Platforms
Apple
Hyderabad•Hybrid•3-6 Yrs•6 days ago
Job description
Hybrid
Overview
The Applied Machine Learning team within the AI and Data Platform organization is at the forefront of driving digital transformation through machine learning across Apple’s enterprise ecosystem.
Responsibilities
- We are looking for engineers with strong coding skills and solid computer science fundamentals who are passionate about building resilient, high‑performance distributed systems and platform infrastructure.
- As a Software Engineer in AI & Data Platform Reliability Engineering, you will work on systems powering GenAI, ML inference, and real‑time fraud decisioning at scale. This is a hands‑on engineering role focused on system design, platform development, and intelligent automation.
- Design and build developer‑first platform components that enable seamless onboarding and execution of ML workflows
- Develop automation, internal tools, and AI‑driven solutions to enhance observability, reliability, and operational efficiency
- Build and operate multi‑tenant, distributed systems handling high‑throughput and highly concurrent workloads
- Work on systems that scale to extreme traffic spikes (up to 100x BAU) with strict latency and availability requirements
- Collaborate with cross‑functional teams to deliver impactful platform capabilities and customer‑facing features
- Lead projects end‑to‑end—from architecture and design to deployment and production excellence
- Continuously improve system performance, scalability, and resilience
- Proactively identify, diagnose, and solve complex system and production challenges
- Design, develop, and own core platform components for fraud decisioning and ML inference systems (Athena platform)
- Build automation frameworks and developer tooling to improve platform usability and operational efficiency
- Ability to identify recurring operational challenges (toil) and design thoughtful, scalable solutions to address them
- Architect and implement advanced observability solutions, including AI/GenAI‑driven insights and automation
- Ensure high availability, resilience, and scalability of critical distributed systems
- Drive performance optimization, reliability engineering, and capacity planning
- Collaborate closely with ML engineers and application teams to enable seamless workflow onboarding
- Contribute to infrastructure as code, CI/CD pipelines, and platform standardization
- Take ownership across the full system lifecycle—design, implementation, deployment, and production operations
- Continuously improve the platform by identifying opportunities for automation, abstraction, and simplification
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical field
- 3+ years of strong programming experience in Python or similar languages
- Solid foundation in data structures, algorithms, operating systems, and distributed systems fundamentals
- Familiarity with infrastructure as code and automation tools (e.g., Terraform, Ansible)
- Ability to read, understand, and work effectively with large open‑source codebases
Nice to have
- Excellent analytical & problem solving skills.
- Exposure to Machine Learning and GenAI technologies.
- Exposure to datasets management and cost optimisation in cloud.
- Exposure to Ray and Ray Serve, for building scalable, distributed, and model‑serving platform components.