149 jobs for "Software Engineer, Machine Learning Infrastructure"

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Software Engineer - AML, AI & Data Platforms (AiDP)

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Staff Software Engineer, Data Infrastructure

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Senior Software Development Engineer - Big Data

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Sr Machine Learning Engineer- Maps Optimization

At Uber - San Francisco · Sunnyvale

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Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX)

At Capital One - McLean · Richmond

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Apple

Software Engineer - AML, AI & Data Platforms (AiDP)

Sunnyvale, CA$184,700 – $277,600Posted 28 days ago

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AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We are looking for a passionate and experienced Software Engineer to help build next- generation of Applied Machine Learning Platform. 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 team is the Core Services which is a backbone of the platform, responsible for handling thousands of transactions per second in a distributed manner.

Description

As a Software Engineer who has deep systems thinking to design, build, and enhance scalable and highly concurrent ML and AI serving platform. Knowledge of Python and Java, Machine Learning concepts, tools and packages is a must. If you're excited about building production-grade platform and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.","responsibilities":"You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of secure scalable inference platform.

The mindset required and to be developed is how to process thousands of transactions per second, how to achieve the consistency without sacrificing the performance.

Work with cross functional teams to drive requirements, size scope and effort, mentor junior engineers, lead the project to completion and provide support for any production issues.

Preferred Qualifications

Excellent written and verbal communication skills on both technical and non-technical topic

Exposure to Ray, KServe, Triton Or other inference frameworks

Ability to debug complex cross-platform issues and optimize performance

Ability to debug and improve ML workflow tuning for high accuracy

Knowledge of using GenAI to build solutions to improve productivity of developers, users, and business

Self-directed, self-motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues

Minimum Qualifications

6+ years of software development experience

4+ years of Python or Java expertise building Production Applications

Solid understanding of concurrency, threading, multiprocessing and their practical trade-offs in high-throughput production systems

Strong understanding of language internals and their implications in highly concurrent systems

Deep knowledge of ML and AI frameworks and ecosystem

Strong understanding of computer science fundamentals, including data structures and algorithms

Proficiency in Containerization technologies like Kubernetes and CNCF technologies

Proficiency in profiling, optimizing, debugging applications and libraries

Bachelor's Science in Computer Science or similar degree or discipline or experience

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 $184,700 and $277,600, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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