8 jobs for "Machine Learning Engineer - Logistics Fulfillment"

Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM / Agent )- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

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Machine Learning Engineer Intern (E-Commerce User Growth) - 2027 Summer

At TikTok - Seattle

Posted on Oct 14

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Data Scientist

At Leidos - Odenton

Posted on Nov 5

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

At Apple - Sunnyvale

Posted on Oct 11

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Software Engineer, Athena Platform Team, IS&T Ai & Data Platforms

At Apple

Posted on Oct 15

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Senior Software Engineer - AL/ML Platforms

At Nike - Beaverton

Posted on Oct 29

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Site Reliability Engineer

At Apple

Posted on Oct 15

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Sr. Software Engineer (Site Reliability), eBusiness Services

At Apple - Austin

Posted on Oct 15

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Apple

Software Engineer, Athena Platform Team, IS&T Ai & Data Platforms

ChinaPosted 25 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 Decision Automation Platform. Decision Automation 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, as part of the broader AiDP Platform organization, owns the Core layer that serves as the backbone of the platform. We build highly scalable and reliable distributed systems capable of handling high-throughput traffic at scale.

Description
This is a role of a Software Engineer who has deep systems thinking to design, build and enhance scalable and highly concurrent ML/AI serving platform. 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 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
Deep knowledge of ML/AI frameworks and ecosystem
Proficiency in Containerization technologies like Kubernetes and CNCF technologies
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
Works independently and drives problems to closure - from well-reasoned design proposals to deep root-cause analysis of production issues

Minimum Qualifications
5+ years of software development experience
3+ 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
Strong understanding of computer science fundamentals, including data structures and algorithms
Proficiency in profiling, optimizing, debugging applications and libraries
Understanding of Distributed Systems to debug complex cross-platform issues and optimize performance
Bachelor's degree or equivalent in Computer Science or similar discipline or experience
Fluency in English Language to communicate effectively

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: Manufacturing

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