Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! Our group at Apple is responsible for creating the image/vi
When a new Trainium or Inferentia chip comes back from the fab, our code is the first software to touch it. We're looking for a hands-on engineering manager who lives and breathes low-level software — someone who's debugged register-level issues at 3am and wants to build a team that does it better.
Overview: We are seeking a Machine Learning Engineer to join a high-impact team focused on advancing LLM evaluation, NLP, and AI-driven automation. This role centers on designing scalable evaluation frameworks, optimizing prompt strategies, and building systems that ensure high-quality, consistent m
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions o
Are you passionate about shaping the future of computational photography and video for billions of users worldwide? Apple"s Camera Algorithm team is seeking an extraordinary and highly experienced Machine Learning Engineer to drive groundbreaking machine learning-based technologies that help define
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms — full-system C++ and SystemC models of these custom SoCs — that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled
We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech synthesis
Job Title: Machine Learning Engineer Location: Cupertino, CA(Hybrid) Duration: 9 Months Pay Range on W2 Hourly: $92 - $97 with Mindsource Benefits Summary Imagine what you could do here, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring pas
Sr Machine Learning Engineer, Tech Lead — Autograder Systems, Evaluation We are looking for a Senior MLE Tech Lead to join a centralized evaluation organization and define the next generation of autograder quality across 20+ of Apple's most visible generative AI features. You will own the end-to-end
Apple Intelligence is designed as a deeply integrated, privacy-preserving capability that seamlessly enhances what people can do across iPhone, iPad, Mac, and other devices. Our goal is to elevate the user experience without requiring our customers to learn new products or fundamentally change how t
Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neur
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all around the world. As a Sr. SoC EMIR Engineer, you’ll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality. We’re search
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including
Description Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine le
Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing machine learning b
The Motion & Interaction team has created intuitive experiences for our customers through motion sensing. When you simply raise your wrist, shake your head, or move your device to interact, it's the work of engineers and scientists on this team. Our fingerprints can be found across core capabili
Do you want to play a part in the next revolution in Foundation Models? Contribute to model hill climbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they cr
Description The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-cl
Apple’s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer’s needs and create personalized experiences by adapting to user behaviors with machine learning running locally
*The Opportunity** Global drug development productivity is declining, with an overall failure to develop effective treatments for many increasingly prevalent complex diseases affecting millions of patients per year. We seek to tackle this by combining innovative machine learning techniques with pion
Machine Learning Intern Mountain View, US About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnin
### About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from th
*Company Description** It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at *Intuitive** . As a global leader in *robotic-assisted surgery** and *minimally invasive care** , our technolog
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON
About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spen
Company Overview: MACOM designs and manufactures semiconductor products for Data Center, Telecommunication and Industrial and Defense applications. Headquartered in Lowell, Massachusetts, MACOM has design centers and sales offices throughout North America, Europe and Asia. MACOM is certified to the
The Opportunity Global drug development productivity is declining, with an overall failure to develop effective treatments for many increasingly prevalent complex diseases affecting millions of patients per year. We seek to tackle this by combining innovative machine learning techniques with pioneer