Netflix Software Engineer L4 Machine Learning Platform Metaflow 

United States, California 

195220806

MLP and Model Development and Management teams are working with various teams at Netflix, and this role will mainly focus on personalization models. You’ll gather requirements, design, and implement products that help accelerate model development for personalization use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve Metaflow and the Machine Learning Platform in general. You will also partner with the OSS Metaflow development community to ensure a mutually beneficial roadmap and relationship.

What we are looking for:

• Excellent software design and development skills in Python along with one of Scala, Java, C++.

• Experience working with state-of-the-art recommendation model development and foundation model development.

• Built platform offerings for ML Researchers, Engineers, and Data Scientists.

• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.

• 3+ years of full time software engineering or machine learning experience with a bachelor’s and masters degree; or PhD degree. Please note that we do not require work experience if you completed your PhD for this level.

Preferred, but not required additional areas of experience:

• Knowledge of machine learning algorithms.

• Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.

• Extensive experience with big data and distributed computing systems such as Spark, HBase, Hadoop, Iceberg.

• Significant contributions to open source projects.

• Experience working with public clouds, especially AWS.

More information

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Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $464,000.