Who you are

- 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

- 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

- 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

- 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 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

What the job involves

- The depth of query, content and user understanding using ML is key to user happiness in their search journey





- Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery
- The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products

- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform

- Run online AB tests and analyse them against the critical business KPIs

- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications

- Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts

- Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation

- Help in recruiting recent engineers. Interview, train, and mentor new team members

Advantages

- Medical, wellness and financial benefits

- Free snacks and access to the company fitness center

- Unlimited paid time off policy

- Work from home opportunities

📌 Senior Machine Learning Engineer (Cambridge)
🏢 Roku
📍 Cambridge