ML Engineer (L5) - Ads Platform Engineering

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Written by AI from the job title and company, not by Netflix, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Machine Learning Engineer (L5) at Netflix, you will play a pivotal role in enhancing our Ads Platform Engineering team. You will be responsible for developing and optimizing machine learning models that power our advertising solutions, ensuring the delivery of personalized ads to our subscribers. Collaborating closely with cross-functional teams, you will use your expertise to drive innovative solutions, improve algorithms, and enhance user experiences while adhering to best practices in ML development.

Job Responsibilities

• Design, develop, and implement scalable machine learning models for ad targeting and performance optimization.
• Analyze large datasets to identify trends, patterns, and insights that will inform model improvements.
• Collaborate with data scientists, software engineers, and product managers to define, develop, and deploy machine learning solutions.
• Monitor and evaluate the performance of machine learning algorithms to ensure effectiveness and drive continuous improvement.
• Contribute to the maintenance and enhancement of existing ML infrastructure and frameworks.
• Stay updated with the latest advancements in machine learning, data analytics, and related technologies.

Qualifications

• Master’s or Ph.D. degree in Computer Science, Machine Learning, Mathematics, or a related field.
• 5+ years of industry experience in machine learning, data analysis, or related discipline.
• Strong programming skills in Python, Java, or equivalent languages.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data processing tools and big data technologies (e.g., Hadoop, Spark).
• Solid understanding of statistical analysis, data modeling, and algorithm design.
• Exceptional problem-solving skills and ability to work collaboratively in a fast-paced environment.

Technologies & Tools

The Machine Learning Engineer (L5) will leverage an array of technologies and tools, including but not limited to Python, TensorFlow, and PyTorch for model development. Experience with big data processing tools such as Apache Spark and Hadoop will be instrumental in handling and analyzing vast datasets. Familiarity with cloud services like AWS or Azure is also essential for deploying and managing machine learning models in a scalable environment.

Ideal Candidates

The ideal candidates for this position will exhibit a deep passion for machine learning and data analytics along with a proven ability to innovate and deliver results in a collaborative setting. They should possess strong analytical thinking skills, a proactive attitude towards problem-solving, and the ability to communicate complex ideas effectively. A genuine interest in the advertising ecosystem, alongside a commitment to ethical considerations in machine learning, will also make them a valuable addition to the Netflix Ads Platform Engineering team.