141 - 160 of 199 Jobs

AI and ML Infra Software Engineer, GPU Clusters

NVIDIA Corporation

Santa Clara, California, USA

Full-time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Software Engineer

Leidos

Annapolis, Maryland, USA

Full-time

The Software Engineer will perform software development lifecycle (SDLC) activities as a member of an Agile development team building a large complex enterprise system. Development includes the full range of turning Agile user stories into implementable concepts, through development, unit testing, integration and test, and deployment of the new capabilities for the large complex enterprise system. Following the Behavior-driven Development (BDD) pattern, developers are responsible for implementin

On-device ML Infrastructure Engineer (ML Performance Visualization)

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 Director - AI Solutions and Emerging Technology

Visa Inc.

Foster City, California, USA

Full-time

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhe

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

Senior Software Engineer

Leidos

Annapolis, Maryland, USA

Full-time

The Software Engineer will perform software development lifecycle (SDLC) activities as a member of an Agile development team building a large complex enterprise system. Development includes the full range of turning Agile user stories into implementable concepts, through development, unit testing, integration and test, and deployment of the new capabilities for the large complex enterprise system. Following the Behavior-driven Development (BDD) pattern, developers are responsible for implementin

Model Optimization Engineer (Algorithmic development)

Apple, Inc.

No location provided

Full-time

Are you excited about the impact that optimizing deep learning models can have on enabling transformative user experiences? The field of ML compression research continues to grow rapidly and new techniques to perform quantization, pruning etc are increasingly available to be ported and adopted by the ML developer community looking to ship more models in a constrained memory budget and make them run faster. We are passionate about productizing and pushing the envelope of the state of the art mode

Software Engineer - Model Training Infrastructure - USDS

TikTok

Seattle, Washington, USA

Full-time

Location : Seattle Employment Type : Regular Job Code : A35774 Apply to this job Share this listing: Responsibilities About the team The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Model Training Infrastructure to join our team to suppor

Staff AI/ML Engineer - Onboard Embodied AI

General Motors

Mountain View, California, USA

Full-time

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. Role: As a Technical Lead in Machine Learning within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting,

Software Engineer - Model Serving Infrastructure - USDS

TikTok

Seattle, Washington, USA

Full-time

Location : Seattle Employment Type : Regular Job Code : A32426A Apply to this job Share this listing: Responsibilities Team Intro The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Model Serving Infrastructure to join our team to support an

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

Director Software Development - AI Inference

AMD (Advanced Micro Devices)

Bellevue, Washington, USA

Full-time

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellen

Principal Machine Rendering Engineer

Epic Games

Cary, North Carolina, USA

Full-time

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine an

AI Full Stack Engineer - Manager - Commercial Technology & Innovation

PricewaterhouseCoopers LLP

New York, New York, USA

Full-time

Industry/Sector Not Applicable Specialism Software Engineering Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on

Machine Learning Research Engineer, Generative AI

Apple, Inc.

No location provided

Full-time

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through every

(USA) Senior, Data Scientist

Walmart Inc.

Remote or New York, New York, USA

Full-time

Position Summary Join Walmart|VIZIO and take your career to the next level! We are looking for a highly talented and motivated Data Scientist to help deliver strategic initiatives across the organization. We look for people who can effectively partner with Product Management, Engineering, and business leaders to deliver easy, effective, and insightful analytics. We are a growing team, focusing on challenging problems that make a difference to our business. We concentrate on high-impact, high-va

Machine Learning Engineer, Efficiency Engineering - USDS

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A87619 Apply to this job Share this listing: Responsibilities The Efficiency Engineering team is all about our passion for crafting innovative tools and applications that empower IT operations and devops teams to achieve new levels of efficiency. We're a tight-knit crew of experienced developers, engineers and problem solvers fueled by a shared vision: streamlining operations, reducing manual workload, and empowering teams to do the

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

AIML - Sr. Machine Learning Engineer, Siri & Information Intelligence

Apple, Inc.

No location provided

Full-time

Do you want to make Siri and Apple products smarter for our users? Our Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products -

AI Engineer/ Onsite in NYC NY or Orlando FL- 3-6 months Contract

Suncap Technology

New York, New York, USA

Contract

AI Engineer Orlando, FL or NYC, NY (Onsite) 3 to 6 Months Contract What You'll Get to Do: Architect and develop autonomous AI systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models a