Machine Learning Engineer for Search and Discovery
2 weeks ago
Roku is a pioneering company that has revolutionized the way people watch TV. As a Senior Machine Learning Engineer, Search & Recommendations, you will play a crucial role in driving further innovation in search and discovery. The team's mission is to build best-of-class AI-powered products that delight users and make their search journey more enjoyable.
The ideal candidate should have 5+ years of experience applying machine learning to concrete problems at large-scale in domains like recommendation or search or ads. A strong background in computer science fundamentals, good understanding of machine learning fundamentals, and familiarity with modern NLP stack and multi-modal representation learning are essential. Experience with big data systems, Spark, S3, and Airflow, and proficiency in programming languages like Java, Scala, or Python are also necessary. Additionally, a good understanding of system architecture and experience in big data technologies and streaming architecture, data pipelines, etc., are highly valued.
The salary range for this position is estimated to be around $180,000 - $220,000 per year, depending on factors such as location, experience, and qualifications. This figure is based on national averages and may vary depending on the specific circumstances. Benefits include global access to mental health and financial wellness support and resources, local benefits such as healthcare, life, accident, disability, commuter, and retirement options, and vacation time off work for personal reasons.
Roku values its employees and strives to provide a diverse range of benefits to support them and their families. We believe that our fast-paced environment fosters innovation and collaboration, where everyone focuses on the company's success rather than individual goals. Our unique culture encourages independent thinking, big ideas, and bold action, which has served us well since 2002. If you're passionate about problem-solving, driven by results, and thrive in a dynamic environment, we'd love to hear from you
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