Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Applying state-of-the-art ML techniques including deep learning, LLMs, and causal inference to enhance search and recommendations for a TV streaming platform with an accent on driving innovation in user engagement. Focus on building best-in-class AI-powered products and leading technical and ML roadmap for search ranking and monetization.

Location: Onsite in Cambridge

Company

hirify.global is the #1 TV streaming platform in the U.S., Canada, and Mexico, aiming to power every television in the world.

What you will do

• Apply state-of-the-art ML on search using techniques in deep learning, LLMs, and causal inference.
• Run online AB tests and analyze them against critical business KPIs.
• Collaborate with US engineering teams and cross-functional teams to translate business requirements into technical specifications.
• Nurture the ML ecosystem to withstand scale, developer velocity, and future business shifts.
• Provide technical leadership to drive the technical and ML roadmap for search ranking and monetization.
• Help in recruiting, interviewing, training, and mentoring new engineers.

Requirements

• 8+ years of experience (or PhD with 6 years) applying Machine Learning to concrete problems at large-scale in recommendation, search, or ads domains.
• Strong CS fundamentals and ability to convert ideas to code with ease.
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models.
• Experience with big data systems (Spark, S3, and Airflow) and programming (Java, Scala, or Python).
• Good understanding of system architecture, big data technologies, streaming architecture, and data pipelines.
• MS in Computer Science, Statistics, or related field is required, PhD is preferred.

Nice to have

• Familiarity with modern NLP stack and multi-modal representation learning.

Culture & Benefits

• Make a valuable contribution in a fast-growing public company where no one is a bystander.
• Opportunity to delight millions of TV streamers around the world.
• Gain meaningful experience across a variety of disciplines.