or apply directly on Roku's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Roku's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 50% of Roku's roles list one
- Ghost-job risk at Roku
- low 0 stale, 19 reposted of 254 open
- Hiring momentum
- 328 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Roku's own greenhouse board since 2026-08-03. Full hiring picture for Roku.
About this role
As a Senior Machine Learning Engineer at Roku, you will design, build, and scale distributed systems that enhance personalized content recommendations for millions of users. Your responsibilities will include developing machine learning platforms, ensuring seamless deployment and monitoring of algorithms, and collaborating with cross-functional teams to meet business requirements. You will also contribute to the onboarding and mentoring of new team members while optimizing the recommendation system's performance through robust platform services.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Roku as an employer.
What you need
- 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals
- Fluency with one of the high-level programming languages like Java, Scala, Kotlin, or Python
- Experience with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiarity with model ML frameworks and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- MS in Computer Science or related field
Nice to have
- AI literacy and curiosity, with experience or exploration of Gen AI
What you get
- Health insurance
- Equity awards
- Life insurance
- Disability benefits
- Parental leave
- Wellness benefits
Worth weighing
- No specific details on the tech stack beyond mentioned tools and languages
- Salary range provided but may vary based on individual factors
- Hybrid working model with in-office expectations Monday through Thursday
Summarised from Roku's posting. Read the full original.
Listed by Roku on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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