Machine Learning Jobs

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Machine Learning Engineer IV

Ascendion Inc.

Menlo Park, California, USA

Full-time

About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 11,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to e

Machine Learning Engineer

INADEV

Remote

Full-time

POSITION HAS THE ABILITY TO BE 100% REMOTE BUT CANDIDATES LOCAL TO THE DC/MD/VA METRO AREA WILL RECEIVE PREFERENCE CANDIDATES MUST BE ABLE/WILLING TO WORK ON EASTERN STANDARD BUSINESS HOURS Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised

Data Scientist Technical Lead - AI/ML

General Motors

Remote

Full-time

Job Description Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. Hybrid or Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, or Milford], you are expected to report to that location three times a week, at minimum. "A company vehicle will be provided for this role with succes

Machine Learning Engineer with Generative AI

PETADATA

Las Vegas, Nevada, USA

Full-time, Third Party

Job Title: Machine Learning Engineer with Generative AI Location: Las Vegas, NV - REMOTE EXPERIENCE: 12+ YRS Job Type: W2/C2C PETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients. Job Overview: We seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatb

AIML - Machine Learning Researcher, Machine Intelligence Neural Design (MIND)

Apple, Inc.

No location provided

Full-time

We are looking for a highly motivated, result-oriented team player with a strong background in ML and hands-on experience in software development to join our team. Our mission is to advance the state-of-art reasoning and optimization techniques for improved accuracy and efficient inference. Thus, the ideal candidate for this position is a researcher and engineer who will relentlessly push the existing boundary with out-of-box thinking and materialize the idea with the very details to impact both

AIML - Machine Learning Researcher, Foundation Models

Apple, Inc.

No location provided

Full-time

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple pr

Sr Engineering Manager - Uber Eats Feed ML

Uber Corporate

San Francisco, California, USA

Full-time

About the Role As Sr Engineering Manager for the Feed ML team, you will join a team dedicated to using cutting-edge machine learning and AI to create an Uber Eats feed experience that feels intuitive and personalized for millions of consumers around the world. Your mission will be to ensure that consumers always feel understood, with the app effortlessly anticipating their needs-whether they're looking for a quick lunch, planning a group dinner, or discovering new cuisines they didn't even know

Senior Engineering Manager - Machine Learning

Uber Corporate

New York, New York, USA

Full-time

About the role: We're looking for an experienced and visionary Senior Machine Learning Manager to lead the ML strategy and execution for Uber Grocery's Catalog team. This team powers every single consumer-facing experience in the Uber Eats app-from what users see when they open the app to the products they choose at checkout. As the ML leader on this team, you'll be responsible for building and scaling a diverse range of AI/ML systems that make sense of vast, complex, and ever-evolving grocery

On-device ML Infrastructure Engineer (ML Modeling Semantics & Representation)

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. This team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. Our group is looking for an ML Infrastructure Engineer, with a focus on ML model semantics, representation, and optimizations. The role is responsibl

Software Engineer, IS&T AiDP Applied Machine Learning

Apple, Inc.

No location provided

Full-time

The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. The proven ML Platforms, Solutions, and Services provide a comprehensive suite of capabilities to achieve efficiency, agility, and innovation at Apple scale-serving Apple's business-critical need across Apple's enterprise. We are in search of an accomplished and driven Software Development Engineer who can build reliable and scalable ser

On-device ML Infrastructure Engineer (Fine-tuning and Customization)

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine

Machine Learning Systems Infrastructure Engineer - SIML, ISE

Apple, Inc.

No location provided

Full-time

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning

AIML - Machine Learning Researcher Engineer- MIND

Apple, Inc.

No location provided

Full-time

The Machine Intelligence, Neural Design (MIND) team is leading Apple-wide innovation on HW/SW co-design for e?cient inference. We are looking for a highly motivated, result-oriented team player with strong background in ML/systems and hand-on experience in software development to join our team. Our mission is to advance the state-of-art in ML optimization techniques for e?cient inference. Thus, the ideal candidate for this position is a researcher and engineer who will relentlessly push the exis

On-device ML Infrastructure Engineer (Core ML Framework)

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine

On-device ML Infrastructure Engineer (ML User Experience APIs)

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine

Senior Machine Learning Manager - Matching, Ad Platforms

Apple, Inc.

No location provided

Full-time

At Apple, we work every single day to build products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access new content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user priv

Machine Learning Solutions Engineer

Apple, Inc.

No location provided

Full-time

Our team bridges the gap between machine learning capabilities and user-facing products. We transform advanced ML technologies into valuable features that solve real customer problems. We're looking for a skilled Machine Learning Solutions Engineer who can work at the intersection of ML research, engineering, and product development to build production-ready AI systems that deliver measurable business value. If you're excited about making ML models work in real-world applications and can collabo

Machine Learning Engineering Manager

Apple, Inc.

No location provided

Full-time

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on t

Manager, Machine Learning Research Engineering (Computer Vision), SIML - ISE

Apple, Inc.

No location provided

Full-time

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a hands-on, technically sound manager to lead a team of Research Engineers to develop next generation multi-modal human sensing technologies. You will be part of a fast paced, impact-driven Applied Res

Senior Lead Machine Learning Engineer

Capital One

McLean, Virginia, USA

Full-time

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability