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Machine learning Jobs in Austin, TX

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Last updated: 1 day ago

Lead Machine Learning Inference Engineer, Advertising

RokuAustin
Full-time

Teamwork makes the stream work.Roku is changing how the world watches TV.Roku is the #1 TV streaming platform in the U.Canada, and Mexico, and we've set our sights on powering every television in t... Show more

Machine Learning Engineer

MolexAustin, TX, US
$170,000.00–$250,000.00 yearly
Full-time

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters.They will be pre-... Show more

Senior Machine Learning Engineer, Voice Assistant

RokuAustin
Full-time

Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural langua... Show more

Sr. Manager of Colocation, Machine Learning, Data Center Supply Solutions

Amazon Data Services, Inc.Austin, Texas, USA
Full-time

Manager of Colocation Machine Learning leads a team of individual contributors across AMER responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation p... Show more

Artificial Intelligence / Machine Learning Consultant for Texas DIR, Austin, Tx

Pedigo Staffing ServicesAustin, TX, United States
Full-time

Title: Artificial Intelligence / Machine Learning Consultant .Agency: Texas Department of Information Resources.Location: North Austin, Texas 78758.Duration: On-going, possibly four years.Contract ... Show more

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorAustin, Texas, US
$70.00 hourly
Remote
Part-time

About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac... Show more

Machine Learning Engineer - Remote

YO AI LabsAustin, TX, USA
Remote
Full-time
Quick Apply

AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more

Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team

AmazonAustin, TX, United States
Full-time

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation.Customers choose us to create cloud solutions that solve challenges that were unimaginable a... Show more

2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

AMDAustin, TX, US
Full-time

At AMD, we believe technology has the power to solve the world's most important challenges.From advancing healthcare and scientific discovery to powering AI and the technologies people rely on ever... Show more

Principal Machine Learning Engineer

OracleAustin, TX, United States
$135,200.00 yearly
Full-time

As a Machine Learning Engineer on the Generative AI Services team, you will lead the architecture, design and development of distributed, scalable, and high-performance systems for AI model trainin... Show more

Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

Annapurna Labs (U.S.) Inc.Austin, Texas, USA
Full-time

Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation.Customers choose us to create cloud solutions that solve challenges that were unimaginable a... Show more

Machine Learning Engineer L-1

Lauretta AI LLCAustin, Texas, United States
Full-time

Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline.Works with data and software engineering team to integrate ... Show more

Sr. Consultant Machine Learning & Knowledge Graph Engineer

Dell, Inc.AUSTIN, TX, US
Full-time

Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions.Pioneering massively parallel ... Show more

Entry Level Java/DevOps Developer - Remote/Machine Learning Engineer

SynergisticITAustin, TX
Remote
Full-time

Ghosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start.Get Hired with a Process which Works !.Many job seekers assume the tech market has shut down, but the truth is c... Show more

2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

Advanced Micro Devices, IncAustin, Texas, United States
Full-time

At AMD, we believe technology has the power to solve the world’s most important challenges.From advancing healthcare and scientific discovery to powering AI and the technologies people rely on ever... Show more

Machine operator

FlexAustin, TX, US
Full-time

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.A career at Flex offers the opportunity... Show more

Machine Operator

General Labor ServicesTravis County, TX, US
Full-time
Quick Apply

Job Position: Machine Operator.Location: Travis County, TX 78664.We are seeking a reliable and detail-oriented.The Machine Operator is responsible for setting up, operating, monitoring, and maintai... Show more

Machine Learning Engineer/Software Developer

Objectwin Technology Inc.Austin, Texas, United States
Temporary
Quick Apply

Machine Learning Engineer/Software Developer.We are seeking a highly skilled and experienced Machine Learning engineer/software developer with a strong background in data science.The ideal candidat... Show more

Senior Machine Learning Scientist, Conversion Modeling

RokuAustin
Full-time

Teamwork makes the stream work.Roku is changing how the world watches TV.Roku is the #1 TV streaming platform in the U.Canada, and Mexico, and we've set our sights on powering every television in t... Show more

Machine Learning Engineer, OIS-Core Engine

Amazon.com Services LLCAustin, Texas, USA
Full-time +1

Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers? Join Amazon Infrastructure Engineering's AI/ML team to design and d... Show more

People also ask
Lead Machine Learning Inference Engineer, Advertising

Lead Machine Learning Inference Engineer, Advertising

RokuAustin
30+ days ago
Job type
  • Full-time
Job description

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning and Inference Platform that powers the entire landscape.

About the role

In this role, you will architect, design, and lead the development of a SOTA Inference platform that can handle Advertising-level low latencies, scale, throughput, and availability with optimizations that span across hardware, software, and models. We’re looking for a strong technical leader with deep experience in ML serving, high-performance computing, and industry standard frameworks - someone excited to mentor engineers, innovate at scale, and shape the future of machine learning at Roku.

What you’ll be doing

  • Lead the design and development of a SOTA Inference platform
  • Oversee the development of monitoring, observability, and other tooling to ensure system and model performance, reliability, and scalability of online inference services
  • Identify and resolve system inefficiencies, performance bottlenecks, and reliability issues, ensuring optimized end-to-end performance
  • Stay at the forefront of advancements in inference frameworks, ML hardware acceleration, and distributed systems, and incorporate innovations where and when they are impactful

We’re excited if you have

  • M.S. or above in CS, ECE, or a related field
  • 10+ years of experience in developing and deploying large-scale, distributed systems, with at least 5 years in a leadership or technical lead role
  • Strong programming skills in high-performance languages
  • Deep understanding of inference frameworks and ML system deployment
  • Proven experience optimizing performance for large-scale machine learning systems, including a deep knowledge of SOTA model optimizations, hardware-software co-design, GPU acceleration, and HPC techniques
  • Excellent communication and collaboration skills
  • Experience leading teams working on high-throughput, low-latency ML serving systems
  • Experience collaborating with and leading global, cross-functional teams
  • Contributions to open-source ML or systems projects

#LI-DH2

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.