Machine Learning Software Engineer 5
Role details
Job location
Tech stack
Job description
Join us to be part of a team that is shaping the future of media and marketing at Netflix. We are seeking an experienced Machine Learning Software Engineer with 5+ years of experience to join our team. You will work closely with our ML scientists to design and develop scalable systems and workflows that enable the efficient development, deployment, and operation of ML/CV algorithms across Netflix's Promo Media and Marketing workflows. This role supports a diverse portfolio of projects - from batch Computer Vision pipelines processing every video package ingested to Netflix, to real-time GenAI systems serving creative workflows - requiring versatility and expertise across different ML deployment paradigms., * Architect and implement robust ML pipelines and reusable frameworks across the full ML lifecycle in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems, personally developing critical components while providing technical leadership and mentorship to team members implementing other parts of the system
- Collaborate cross-functionally with ML scientists, product managers, and engineers to define and prioritize system requirements
- Partner with our ML platform team to translate technical needs into infrastructure requirements, advocating for platform capabilities that enhance reliability, boost team productivity, and support our long-term vision for innovation at scale
- Optimize systems and workflows for latency, throughput, and reliability across both batch processing workflows and real-time services to meet SLA requirements
- Strategically identify and address technical debt to improve development velocity, while implementing tools and processes that enhance team productivity and code quality
Requirements
- 5+ years of proven experience in software engineering for ML projects and products, with strong proficiency in Python
- BSc in Computer Science, Electrical Engineering, or a related technical field.
- Familiarity with ML libraries such as PyTorch, experience with ML/CV/GenAI pipelines, and knowledge of distributed data processing systems.
- Experience with ML workflow orchestration tools like Metaflow, Ray, Airflow, or similar pipeline management systems
- Proficient in cloud infrastructure, including S3, Docker containers.
- Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
- Demonstrated ability to effectively communicate technical requirements and influence infrastructure decisions across team boundaries
- Track record of mentoring engineers on ML engineering best practices while balancing technical debt reduction with feature delivery
- Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
- You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
- The Netflix culture resonates with you.
Bonus Experience:
- Experience with GPU training and inference optimization of LLMs, performance tuning, and debugging
- Experience building end-to-end multimedia systems and computer vision algorithms.
- Familiarity with generative models and tools, such as diffusion-based models
Benefits & conditions
Generally, 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 $466,000.00 - $750,000.00.
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 details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
