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 (https://netflixtechblog.medium.com/lessons-learnt-from-consolidating-ml-models-in-a-large-scale-recommendation-system-870c5ea5eb4a)

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

　　Evidence Personalization (https://netflixtechblog.com/artwork-personalization-c589f074ad76)

　　Page Simulation for Better Offline Metrics at Netflix

　　RecSysOps (https://netflixtechblog.medium.com/recsysops-best-practices-for-operating-a-large-scale-recommender-system-95bbe195a841)

　　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

　　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 - $720,000.

　　Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more detail about our Benefits here (https://jobs.netflix.com/work-life-philosophy) .

　　Netflix is a unique culture and environment. Learn more here (https://jobs.netflix.com/culture) .