Senior Machine Learning Engineer, Fraud Detection
At a glance
Senior Machine Learning Engineering role at Crunchyroll, LLC. Los Angeles.
Crunchyroll, LLC states pay in the role description below.
aimlroles summary, based on the employer's posting.
What you'll do
- Build real-time anomaly detection models that flag account sharing using location, session overlap and device signals
- Take ML workflows from data preparation through training, testing and release on cloud infrastructure
- Tune models to stay efficient and reliable as they process large volumes of streaming data
- Connect models to current systems through APIs, then track drift and arrange retraining
- Use A/B tests and feedback to adjust detection as account-sharing tactics change
What you bring
- At least eight years building machine learning systems, including work on fraud or anomaly detection
- Strong Python skills and experience with TensorFlow, PyTorch or XGBoost, plus MLflow, Docker and cloud platforms
- A graduate degree in computer science, statistics or another related quantitative discipline
- You can explain model decisions and document technical workflows for technical and nontechnical partners
Who this fits
This senior role suits an experienced ML engineer who can take detection models from development into production and collaborate with data scientists, analysts, engineers and product teams. Work is hybrid, with office attendance Tuesday through Thursday, and is based in the Los Angeles or San Francisco area.
From the employer
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, 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.
In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth.
We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, and Thursday.
Core Areas of Responsibility
- Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time.
- Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.
- Optimize models for performance, scalability, and efficiency to handle high-volume streaming data.
- Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining.
- Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics.
About You
- Experience: You bring 8+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services.
- Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP.
- Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization.
- Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration.
- Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field.
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
The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll’s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - Los Angeles, CA$185,000—$225,000 USDThe Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll’s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - San Francisco, CA$205,000—$240,000 USDAbout 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
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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.