Senior Machine Learning Engineer (Content Platform)

Roku • Bachelor's Degree • 5 days ago
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Salary
$141k – $361k per year
Location
In office (San Jose)
Seniority
Senior · 10+ years exp
Visa
H-1B filings in 12 months: 63 · for this role: 43 · green card filings: 7
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Aug 22, 2026. Roku scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Roku

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.
roku.com • HQ: San Jose, United States • Televisions • Streaming & OTT Platforms • 501-1000 employees • Est. 2002
Tech stack of Roku
Backed by Menlo Ventures

Join our team as a Senior Machine Learning Engineer for our Content Platform. In this role, you will define the roadmap for ML within the platform, provide technical leadership on model architecture and MLOps infrastructure, and partner with cross-functional teams to align ML initiatives with business goals. You will also champion a culture of incremental delivery and balance long-term R&D with the need for measurable improvements in the production environment.

Missions

  • Define the roadmap for machine learning within the Content Platform, ensuring alignment with business goals.
  • Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
  • Partner with Product, Engineering, and Content Strategy to align machine learning initiatives with business objectives.

Profil recherché

- Deep theoretical and practical understanding of Machine Learning

- 10+ years of total experience in software/ML engineering

- Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools)

- You understand the business of streaming and how ML directly impacts the bottom line

- Proven track record of deploying large-scale ML models into production environments

- You can explain complex models to a non-technical executive just as easily as you can debate architecture with a seasoned engineer

- MS or BS in Computer Science, Mathematics, or a related quantitative field

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