Senior Machine Learning Engineer, Recommendation and Personalization
Real job — pulled straight from Crunchyroll’s careers page · Verified August 5, 2026 · No reposts.
Job description
Crunchyroll is hiring a Senior Machine Learning Engineer, Recommendation and Personalization — a full-time, based in Los Angeles, CA role ($185k–$240k). Apply directly on Crunchyroll's careers page below.
Senior Machine Learning Engineer, Recommendation and Personalization
Location: Los Angeles, California, United States; San Francisco, CA, United States
Department: Center for Data & Insights (CDI)
About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the role
In the role of Senior Machine Learning Engineer for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California. You will lead the research, development, and test of advanced models, and work together with product and engineering partners to deliver tailored experiences for our fans across the anime ecosystem, including anime video recommendations, digital manga suggestions, merchandise personalization, anime-themed gaming, music, and more. This position will collaborate closely with scientists, engineers, product owners, to prototype innovative algorithms, evaluate their impact, and integrate them into production systems that drive user engagement, retention, discovery, and satisfaction.
We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, Thursday. This position can be based in our Los Angeles or San Francisco offices.
Core Areas of Responsibility
- Research, design, and implement machine learning algorithms for recommendation systems, including collaborative filtering, content-based models, and deep learning, and generative recommendation approaches to personalize content discoveries.
- Co-develop end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment using scalable cloud platforms with engineers.
- Optimize models for accuracy, latency, and scalability to handle massive user interaction data from streaming and multi-platform, multi-domain experiences across the fandom.
- Integrate personalization solutions with other services, and implement monitoring for model performance, bias detection, and automated retraining.
- Collaborate on A/B testing, experimentation, and iterative improvements to refine recommendations based on user feedback and evolving content trends.
About You
We get excited about candidates, like you, because you have:
Experience: You bring 8+ years of hands-on experience in applied machine learning, with a proven track record in building recommendation systems or personalization engines, ideally in media, entertainment, or e-commerce platforms.
Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks, or similar. Experience with big data tools (e.g., Spark) and cloud infrastructure (e.g., AWS/GCP) for handling large-scale datasets.
Cross-Functional Collaborations: Experienced in partnering with data scientists and analysts, engineers, and product teams to deploy models that align with business objectives like increasing user retention and content consumption.
Communication Skills: Strong ability to document research findings, explain algorithmic choices, and present results to diverse stakeholders for effective adoption.
Educational Background: Graduate degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, with publications or contributions in recommendation systems being a plus.
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
- Pet insurance and some of our offices are pet friendly!
#LifeAtCrunchyroll #LI-Hybrid
About our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
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Courage. We believe that when we overcome fear, we enable our best selves.
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Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
- Kaizen. We have a growth mindset committed to constant forward progress.
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Service. We serve our community with humility, enabling joy and belonging for others.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
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Frequently asked questions
What is the salary for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll?
The estimated salary range for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll is $185,000 - $240,000 USD per year.
What skills are required for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll?
The required skills for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll include: Python, TensorFlow, PyTorch, Scikit-learn, MLflow, Docker, Databricks, Spark, AWS, GCP, Deep Learning, Machine Learning.
What is the seniority level for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll?
Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll is a Senior level position.
How do I apply for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll?
You can view the full description and apply for Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll on EchoJobs: https://echojobs.io/job/crunchyroll-senior-machine-learning-engineer-recommendation-and-personalization-t3r9k.