Software Engineer 5 – Model Development and Management, AI Platform

atNetflixRemoteUS flagUnited StatesFull-timeAI EngineerMid-levelSenior$466k – $750k/year

Posted 20 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop the user interface component for Netflix’s AI Platform.

• Enhance the core process of model creation, assessment, experimentation, and deployment.

• Collect requirements, design, and implement products that expedite model development for various ML applications.

• Collaborate with applied researchers and data scientists on machine learning projects.

• Interact with the ML community to gather insights, pinpoint challenges, and advance the platform.

• Acquire expertise throughout the complete machine learning lifecycle.

• Participate in open-source projects.


⛳️ Requirements

• Proven experience in developing platform solutions such as SDKs, developer frameworks, or internal tools utilized by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-centric approach and strong user empathy.

• Strong software design and development capabilities in Python, along with proficiency in either Scala, Java, or C++.

• Experience collaborating on or with modern, large-scale ML services.

• Comprehensive understanding of the entire ML lifecycle from data and features through to training, experiment tracking, and production deployment.

• Familiarity with ML workflow orchestration, experiment tracking, or feature/data infrastructure; ideally with tools like Metaflow, Airflow, Kubeflow, MLflow, or similar.

• General knowledge of core machine learning principles and their application in large-scale, real-world ML systems.

• At least 5 years of full-time experience in software engineering or machine learning, holding either a bachelor’s and master’s degree or a PhD.

• Preferred but not mandatory: experience in building machine learning models or LLMs.

• Preferred but not mandatory: experience in designing or developing agentic systems.

• Preferred but not mandatory: experience with public cloud services, particularly AWS.

• Preferred but not mandatory: significant contributions to open-source projects.


🏝️ Benefits

• Health Plans

• Mental Health support

• 401(k) Retirement Plan with employer match

• Stock Option Program

• Disability Programs

• Health Savings and Flexible Spending Accounts

• Family-forming benefits

• Life and Serious Injury Benefits

• Paid leave of absence programs

• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.

• Full-time salaried employees are immediately entitled to flexible time off.

• Opportunities to contribute to open-source projects.

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