Machine Learning Engineer 5 – Ads

October 23

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $100k - $720k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 Description

• Bridge software engineering and machine learning research by developing efficient, scalable, and maintainable machine learning models and services that meet high QPS and low-latency requirements • Collaborate closely with machine learning researchers to operationalize research and ensure seamless integration of models into production environments • Enhance the performance and scalability of machine learning models to effectively accommodate the increasing demand for advertising and the implementation of novel ad optimization objectives • Collaborate closely with machine learning scientists, infrastructure engineers, and product managers to shape the ML infrastructure for Netflix Ads • Optimize the performance and scalability of machine learning models to support increasing ad demand and the introduction of new ad objectives • Contribute to the ongoing enhancement of company-wide ML infrastructure and tooling, ensuring we remain at the forefront of industry best practices • Stay current with state-of-the-art computing and machine learning technologies • Develop and deploy cutting-edge machine learning and statistical models for ad ranking, pacing and personalization—ensuring the right ad reaches the right audience at the right moment

🎯 Requirements

• Proficiency in Java, Python, or Scala • Experience in building end-to-end ML model deployment for real-time systems • Skilled at maintaining production systems, with familiarity in DevOps tools and practices • Strong problem-solving and cross-functional collaboration skills

🏖️ Benefits

• Inclusion is a Netflix value • We strive to host a meaningful interview experience for all candidates • We are an equal-opportunity employer and celebrate diversity • We approach diversity and inclusion seriously and thoughtfully