Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Building and scaling robust distributed systems for personalized content recommendations with an accent on ML infrastructure, feature stores, and real-time inference services. Focus on developing end-to-end ML platforms, optimizing algorithm performance at scale, and ensuring system reliability for millions of users.
Location: Must be based in San Jose, United States (Hybrid: in-office Monday–Thursday).
Salary: $229,500–$360,000 annually.
Company
is the leading TV streaming platform connecting consumers, content publishers, and advertisers across a global ecosystem.
What you will do
- Design and maintain scalable platform services including feature stores, real-time inference, and vector databases.
- Monitor online AB tests and analyze platform metrics to optimize recommendation system performance.
- Collaborate with cross-functional teams to translate business requirements into modular platform components.
- Enhance the ML platform ecosystem to support high developer velocity and system scalability.
- Mentor new team members on platform engineering best practices and emerging technologies.
Requirements
- 5+ years of experience building software solutions.
- Strong CS fundamentals with proficiency in Java, Scala, Kotlin, or Python.
- Experience with big data systems such as Spark, Kafka, Flink, or AirFlow.
- Familiarity with ML frameworks and tools like Ray, PyTorch, HuggingFace, or AWS Sagemaker.
- MS in Computer Science or a related field.
- Must be based in San Jose, USA and able to work in a hybrid model.
Nice to have
- Experience or curiosity regarding Generative AI applications.
Culture & Benefits
- Comprehensive health insurance (medical, dental, vision) and disability benefits.
- Retirement options including 401(k) and pension plans.
- Global access to mental health and financial wellness resources.
- Equity awards and paid time off.
- Inclusive, collaborative environment focused on pragmatic innovation and problem-solving.
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