- B2C
- Scale StageRapidly increasing operations
- Valuation $1B+This company has a valuation of $1B or more
Senior Software Engineer, Machine Learning, Recommendations
- Full Time
Not Available
About the job
About the role
In the role of Senior Software Engineer, Machine Learning, (internal title: Machine Learning Engineer), you will report to the Director of data science and machine learning in the Center for Data and Insights.
We are looking for a Senior Software Engineer, Machine Learning to join our team to create personalized content recommendations for our tens of millions of customers around the world. The main mission is to help customers discover contents they will love, from our must-watch simulcast season of shows to our library of classics and niche titles, and further beyond into theatrical release, merchandise, music, and games, etc that covers the anime fandom and lifestyle. Your work will have a meaningful effect, enhancing user engagement and satisfaction by tailoring the content experience to individual tastes and preferences. This role offers a greenfield opportunity to develop the latest recommendation algorithms to delight a fast-growing global audience.
Core Responsibilities
- System Architecture: Design and develop scalable, robust architectures for the recommendation system.
- Data Sense and Awareness: Identify, collect, and preprocess data from various sources to build comprehensive user profiles and content attributes.
- Model Training and Operations: Experiment, train, and deploy machine learning models that power personalized recommendations.
- Measurement and Feedback Loop: Implement systems to measure the effectiveness of recommendations and incorporate user feedback to improve model performance.
- Operational Excellence: Ensure the reliability, efficiency, and scalability of the recommendation system through best practices in coding, testing, and deployment.
We are considering applicants for the location of Los Angeles, California.
About You
- 5+ years of experience in designing and implementing large-scale recommendation systems.
- You have a background in machine learning and recommendation system algorithms
- Proficiency in Python
- You have experience with frameworks like TensorFlow, PyTorch, or similar.
- You have familiarity with GPU optimization and cloud computing platforms (AWS, Google Cloud, Azure).
- You have demonstrated ability to work with cross-functional teams including Engineering, Product, Content Acquisition and Programming, Consumer Insights, to name a few.
- You have experience conveying complex technical concepts to non-technical stakeholders.
About the Team
Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
- Flexible time off policies allowing you to take the time you need to be your whole self.
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
#LifeAtCrunchyroll #LI-Hybrid
About the company
Crunchyroll
- B2C
- Scale StageRapidly increasing operations
- Valuation $1B+This company has a valuation of $1B or more