The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products.

This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Communication and presentation skills are essential as you'll collaborate across teams.

The role requires high technical aptitude, problem-solving abilities, motivation, and exceptional attention to detail. Were always in build mode because were a company of data-focused builders.

Every day, youll look at what exists and find ways to make it better.

What youll be doing :

- Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences for millions of Roku users.

- Designing and implementing advanced Machine Learning models for entity matching, data deduplication, and Generative AI tasks such as content summarization, deduping and metadata quality.

- Researching and developing advanced AI algorithms, including Vision Models for visual content analysis, and enhancing the Content Knowledge Graph.

- Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging.

- Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI.

- Creating products that provide exceptional user experiences while meeting performance, security, quality, and stability requirements.

Were excited if you have :

- 7+ years of experience applying Machine Learning and GenAI to concrete problems at large-scale.

- Strong CS fundamentals, with the ability to design algorithms for real-world challenges.

- Expertise in machine learning fundamentals, including deep generative models (GANs, VAEs), transformers, tree-based methods, and sequence-based models.

- Proven familiarity with NLP approaches like BERT, GPT, or related architectures, as well as Vision-based approaches like ResNet, EfficientNet, or CLIP.

- Experience in big data systems (e.g., Spark, EMR, Kafka, S3, Flink, AirFlow) and programming (Java, Scala, or Python).

- A track record of building in-production Machine Learning systems, including deploying Generative AI and Vision Model-based pipelines.

- Knowledge of system architecture and experience with big data technologies (e.g., streaming architectures, scalable data pipelines).

- An understanding of state-of-the-art Vision Models for tasks such as image classification, object detection, and multimodal learning.

- AI literacy and curiosity.

You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.

- MS in Computer Science, Statistics, or a related field is required; a Ph.D. in CS or related fields is preferred.

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.

It's important to note that not every benefit is available in all locations or for every role.