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Salary
≈ $136k – $251k per year (Estimated)
Location
Hybrid (Cambridge, United Kingdom)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 12, 2026. Roku scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Roku is an American streaming platform company headquartered in San Jose, California, that makes the Roku operating system, streaming players and Roku-branded TVs and sells advertising across its free and paid channels. Founded in 2002 and listed on Nasdaq, it licenses its software to TV manufacturers, runs The Roku Channel and has engineering and business offices in Austin, Boston, New York, Santa Monica, Cambridge, Manchester and London. Its openings focus on software, machine learning and data engineering, data science, ad technology and search, alongside account executives, finance analysts and legal counsel.
Backed by Menlo Ventures

Join our team as a Senior Machine Learning Engineer, specializing in Search & Recommendations. In this role, you will leverage your technical skills, business intuition, and analytical thinking to build AI-powered products that enhance user experience. You will apply state-of-the-art machine learning techniques, run online AB tests, collaborate with cross-functional teams, and provide technical leadership. This position offers a range of benefits, including medical, wellness, and financial benefits, unlimited paid time off, and work-from-home opportunities.

Missions

  • Conduire l'innovation dans la recherche et la découverte en appliquant des techniques d'apprentissage automatique de pointe.
  • Collaborer avec des équipes d'ingénierie et des équipes interfonctionnelles pour traduire les exigences commerciales en spécifications techniques.
  • Fournir un leadership technique pour orienter la feuille de route technique et l'apprentissage automatique pour le classement de recherche et la monétisation.

Profil recherché

- Communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better

- Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc

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

- 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads

- Strong CS fundamentals. Should be able covert ideas to code with ease

- We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)

- Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus

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