ML Software Engineer L4/L5, AI for Member Systems
Employment Information
Job Description
Software Engineer for Machine Learning at Netflix enhancing personalization systems and algorithms. Collaborating with researchers and engineers to develop scalable solutions for machine learning algorithms.
Responsibilities:
- Apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience.
- 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.
- 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.
- Collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms.
- Guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship.
- Create solutions that are used beyond our team.
Requirements:
- 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
- Excellent software design and development skills in Python along with Scala, Java, 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 or Flink
- Excellent collaboration skills
- Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems
- Preferred: Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.
- Preferred: Experience building machine learning models or LLMs
- Preferred: Experience scaling and optimizing the training and serving of machine learning models
- Preferred: Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras
- Preferred: Experience with cloud computing platforms like AWS
- Preferred: Background in math, statistics, or numerical computation
- Preferred: 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
- 35 days annually for paid time off
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