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Senior Machine Learning Engineer

Lumen Dynamics · Austin, Texas · Posted today

onsiteseniorEstimated 113k-258k USD🇺🇸 United States
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Available in 5 locations

Austin · hybrid Apply → Austin, Texas · onsite Apply → Bengaluru, India · onsite Apply → San Jose · hybrid Apply → San Jose, California · onsite Apply →

About the role

Develop machine learning solutions for advertising technology at Lumen Dynamics.

Teamwork makes the stream work. Lumen Dynamics is changing how the world watches TV Lumen Dynamics 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. Lumen Dynamics 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 Lumen Dynamics, 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 Lumen Dynamics. 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, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time. About the role We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general purpose software and statistical languages. What you’ll be doing ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends We’re excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field 5 years of experience in applied machine learning on real use cases Proficient coding skills and strong software development experience in Spark, Python, or Java Familiarity with real-time evaluation of models with low latency constraints Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments i.e. Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB Ad Tech experience is preferred Proficient use of AI tools and agentic coding practices #LI-DH2 What's Lumen Dynamics's approach to hybrid working? Lumen Dynamics fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Lumen Dynamics 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 Lumen Dynamics 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 EmployeeRelations@Lumen Dynamics.com . What should I know about Lumen Dynamics's culture? Lumen Dynamics 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 Lumen Dynamics 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. To learn more about Lumen Dynamics, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet . By providing your information, you acknowledge that you want Lumen Dynamics to contact you about job roles, that you have read Lumen Dynamics's Applicant Privacy Notice , and understand that Lumen Dynamics will use your information as described in that notice. If you do not wish to receive any communications from Lumen Dynamics regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Lumen Dynamics.com .

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FAQ

Is the Senior Machine Learning Engineer role at Lumen Dynamics remote?+

This Senior Machine Learning Engineer position is listed as onsite (Austin, Texas).

What is the salary for the Senior Machine Learning Engineer role at Lumen Dynamics?+

The listing states Estimated 113k-258k USD.

What seniority level is this Senior Machine Learning Engineer role?+

This is a senior level position.

How do I apply for the Senior Machine Learning Engineer role at Lumen Dynamics?+

Use the "Apply on greenhouse:roku" button to open the original posting on greenhouse:roku, where you can submit your application directly to Lumen Dynamics.