We are looking for a passionate and experienced Software Engineer to help build the next generation of Applied Machine Learning Platform. The Applied Machine Learning Platform team provides backend services and infrastructure for various Machine Learning and Data Science teams to train, build, deploy, and inference models at scale to prevent fraud on multiple Apple platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare, and Manufacturing. In addition to preventing fraud, this platform is responsible for driving operations and logistics for Online Store, AppleCare, and Retail. Our team within the greater AiDP platform development team is the Core Services, which is a backbone of the platform, responsible for handling thousands of transactions per second in a distributed manner.\\n
This is a role of a Sr Software Engineer who has deep systems thinking to design, build, and enhance a scalable and highly concurrent ML/AI serving platform. Knowledge of Python, Machine Learning concepts, tools, and packages is a must. If you're excited about building a production-grade platform and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.
8+ years of software development experience\n4+ years of Python expertise building production applications\nSolid understanding of Python concurrency, threading, multiprocessing, and their practical trade-offs in high-throughput production systems\nStrong understanding of Python internals and their implications in highly concurrent systems\nDeep knowledge of ML/AI frameworks and ecosystems\nStrong understanding of computer science fundamentals, including data structures and algorithms\nProficiency in containerization technologies like Kubernetes and CNCF technologies\nProficiency in profiling, optimizing, debugging Python applications and libraries\nBachelor's Science Computer Science or equivalent or a similar discipline degree or experience
Excellent written and verbal communication skills on both technical and non-technical topics\nExperience building async web services with Gunicorn (Green Unicorn), FastAPI, or other Python frameworks\nExposure to Ray, KServe, Triton, or other inference frameworks\nAbility to debug complex cross-platform issues and optimize performance\nAbility to debug and improve ML workflow tuning for high accuracy\nKnowledge of using GenAI to build solutions to improve productivity of developers, users, and businesses\nSelf-directed, self-motivated, and detail-oriented with the ability to come up with good design proposals and thorough analysis of production issues
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 4cbb50d991d50cb3fa91782ebf3d167d
- Posted 4 hours ago
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