4 дня назад
Senior Machine Learning Engineer (AI)
229 500 - 360 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Building and scaling distributed machine learning platforms for personalized content recommendations serving millions of Roku users with an accent on feature stores, real-time inference, vector databases, and platform reliability. Focus on designing high-throughput services, running online A/B tests, optimizing recommendation performance, and evolving infrastructure for developer velocity and scale.
Location: San Jose, United States. Hybrid schedule with office work generally expected Monday through Thursday; Fridays are generally flexible for remote work.
Salary: $229,500–$360,000 annual salary for California.
Company
operates a TV streaming platform connecting consumers, content publishers, and advertisers across the television ecosystem.
What you will do
- Design, build, and maintain scalable ML platform services, including feature stores, real-time inference services, and vector databases.
- Develop distributed systems serving millions of transactions per second for personalized content recommendations.
- Run and monitor online A/B tests, analyzing platform metrics and business KPIs to improve recommendation performance.
- Translate business requirements into modular platform components and APIs in collaboration with US-based engineering and cross-functional teams.
- Evolve the ML platform ecosystem to improve developer velocity, scalability, and adaptability.
- Support onboarding, training, and mentoring for new team members.
Requirements
- 5+ years of experience building software solutions.
- Strong computer science fundamentals and algorithmic problem-solving skills.
- Fluency in Java, Scala, Kotlin, or Python.
- Experience with big data systems such as Spark, Kafka, Flink, S3, or Airflow.
- Familiarity with Ray, PyTorch, Hugging Face, or AWS SageMaker.
- Master’s degree in Computer Science or a related field, plus AI literacy and curiosity.
Culture & Benefits
- Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
- Mental health and financial wellness support with local healthcare, retirement, commuter, and leave benefits varying by location and role.
- Fast-paced, collaborative environment focused on problem-solving, pragmatic innovation, and delivering solutions to customers.
- Inclusive workplace with reasonable accommodations available throughout the hiring process.
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