Software Engineer L4 / L5 For Machine Learning

This is a Full Time Job

As Netflix continues to grow around the world, we face new and exciting challenges for our machine learning systems so that we can build amazing experiences for each of our over 245 million members. We need to handle the scale and diversity of tastes from people around the world. We seek to enable new user interface and interaction paradigms by ensuring that we use every piece of screen real-estate in an effective manner. We balance many factors such as: accuracy and diversity; discovery and continuation; exploration and maximization; current and newly launching items; immediate engagement and long-term satisfaction. To do this requires our machine learning algorithms and systems for recommendations, search, and messaging to elevate to the next level.

The Algorithms Engineering team is looking for passionate and talented software engineers to join us. In this role, you will create the software that enables our end-to-end machine learning research and development. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links:

• Consolidating ML models

• InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models

• Evidence Personalization

• Page Simulation for Better Offline Metrics at Netflix

• RecSysOps

As a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.

What we are looking for:
• A degree in Computer Science or a related field
• 4 years of full time software engineering experience with a bachelor's degree OR 2 years of experience with a graduate degree
• Solid track record of delivering quality results
• Strong software design and development skills (Python, Java, Scala, C++, or C#)
• Solid understanding of various software engineering best practices and their appropriate application
• Experience building web-scale parallel and distributed computing systems
• Experience with large-scale data frameworks such as Spark, Flink, Hive, or Hadoop
• Excellent collaboration skills
• Understanding of Machine Learning concepts
• Familiarity with large-scale, real-world machine-learning applications

Preferred, but not required:
• Experience building personalization systems or machine learning platforms
• Experience building machine learning models
• Background in math, statistics, or numerical computation
• Experience with cloud computing platforms like AWS
• Significant contributions to open-source projects
• Experience scaling and optimizing the training and serving of machine learning models
• Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras

Note, that the level and compensation are determined based on your demonstrated experience, skills, and interview performance. We have several open positions within the personalization, search, and recommendations space. The specific team placement to be determined based on the candidate's skills and fit, which will be evaluated after the initial round.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of the market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $100,000 - $720,000.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.