Senior Software Engineer, Machine Learning Data Platforms
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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 weve 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 youll make a valuable - and valued - contribution. Were 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
A reliable privacy-safe and scalable data foundation is critical to Rokus rapidly growing advertising business. The Ad Data Activation organization builds the identity systemsdevicegraph pipelines audience platforms insights tooling and data collaboration capabilities that power targeting measurement and reporting across Roku Ads.
We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms applied machine learning and generative AI building capabilities that make Rokus advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising while also applying traditional ML techniques to improve accuracy automation and decisioning across the ecosystem. If you enjoy working across data ML and new Gen-AI patterns and want to shape how intelligence shows up inside Roku Ads this role is for you.
About the role
In this role you will design build and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution audiencemodeling attribution and optimization workflows. You will work with massivedatasets develop pipelines that transform raw signals into actionable features and partner closely with product data science and platform teams.
What you will be doing
- Develop scalable and effective ML models and data pipelines to power identity graph enrichment audience segmentation and campaign performance intelligence
- Design and run experiments measure impact and translate results into product decisions and customer outcomes
- Build and productionize agentic generative-AI features including reporting and insights agents campaign-monitoring agents (with human-in-the-loop controls) and a semantic layer for reliable natural-language analytics
- Improve automation reliability and scalability across model training feature engineering deployment and monitoring frameworks
- Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems
- Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation identifyingthe right problems for AI ensuring safety and driving advertiser productivity.
Wereexcited if you have
- 5 years of experience applying ML or data science toreal businessproblems at scale
- Masters degree (or higher) and 4 years of experience in CS CE ML or a related field
- Strong CS fundamentals and ability to design efficient algorithms and production systems
- Experience with ML approaches used in large-scale data problems (e.g. regression classification tree-based methods embeddings sequence models or basic NLP)
- Strong intuition for defining KPIs objective functions and evaluation frameworks for ML-driven systems
PREFERRED QUALIFICATIONS
- Knowledge of programming languages such as PythonScala/Java C/C or similar
- Experience working with large-scale data platforms (Spark Presto/Trino feature stores data lakes etc.)
- Experience building or integrating with LLM/Gen-AI pipelines (prompting evaluation retrieval safety) is a plus
- Prior publications patents or open-source contributions are a plus
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). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. Its 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 companys 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. Were independent thinkers with big ideas who act boldly move fast and accomplish extraordinary things through collaboration and short at Roku youll be part of a company thats 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 isnt 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 Roku our global footprint and how weve grown visit providing your information you acknowledge that you want Roku to contact you about job roles that you have read Rokus Applicant Privacy Notice and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future you may unsubscribe at any time by emailing .
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
