Senior Machine Learning Engineer, Fraud Detection

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
185K-225K Annually
Senior level
Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
The world’s largest destination for all things anime.
The Role
Lead design and productionalize ML algorithms and pipelines to detect account-sharing fraud in real time. Build scalable preprocessing, training, deployment, monitoring, and A/B testing solutions with cross-functional teams to optimize detection while minimizing user disruption.
Summary Generated by Built In
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 #LI-Hybrid

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 USD
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 - San Francisco, CA
$205,000$240,000 USD
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

  • Courage. We believe that when we overcome fear, we enable our best selves.

  • Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.

  • Kaizen. We have a growth mindset committed to constant forward progress.
  • 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.

Skills Required

  • 5+ years of hands-on ML engineering experience
  • Track record in fraud or anomaly detection systems
  • Expert in Python
  • Experience with TensorFlow, PyTorch, or XGBoost
  • Proficiency with MLOps tools such as MLflow and Docker
  • Experience with cloud ML platforms (AWS SageMaker, Databricks) and cloud providers (AWS or GCP)
  • Experience deploying end-to-end ML pipelines, monitoring model drift, and retraining
  • Master's degree (MS) or PhD in Computer Science, Machine Learning, Statistics, or related field
  • Strong communication and documentation skills to explain algorithms to non-technical stakeholders
  • Ability to collaborate with data scientists, product analysts, and data engineers
  • Hybrid work presence in Los Angeles or San Francisco area (in-office three days a week)
  • Cloud ML certifications (e.g., AWS/GCP ML certs)

What the Team is Saying

Terry
Bianca
Mae
Arika

Crunchyroll Compensation & Benefits Highlights

  • Healthcare Strength Job postings and employer profiles consistently describe comprehensive medical, dental, and vision coverage alongside life, STD/LTD, mental-health resources, and HSA/FSA options. Some descriptions also note low premiums for robust plans, reinforcing a strong health offering.
  • Retirement Support U.S. roles repeatedly cite a 401(k) with company match, with the same offering appearing across North America postings. This consistency signals an established retirement program.
  • Leave & Time Off Breadth Benefit overviews highlight flexible or “Use What You Need” PTO, paid holidays, wellness days, and paid volunteer time. Parental and family medical leave are also consistently mentioned.

Crunchyroll Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Berlin, Germany
1,300 Employees
Year Founded: 2006

What We Do

At Crunchyroll, we deliver what anime fans love—anytime, anywhere. With the world’s largest anime streaming library, we connect fans to the stories, characters, and creators they love. But Crunchyroll is more than just a destination to watch anime—it's a global ecosystem where anime lives and breathes beyond the screen. From streaming and theatrical releases to merch, games, news, events, and music, we offer fans immersive experiences that celebrate anime culture in all its forms. Headquartered in the U.S. with teams and reach across the globe, Crunchyroll is an independently operated joint venture between Sony Pictures Entertainment and Aniplex of Japan. This unique partnership gives us the power to scale globally while staying rooted in anime’s cultural origins, ensuring authenticity and access for fans everywhere. We believe anime is more than entertainment—it’s a way of life. And we’re here to champion that passion every day.

Why Work With Us

We take the People Experience seriously here at Crunchyroll. Join a diverse team of talented, ambitious people who treat each other well and believe that how we win is just as important as winning.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Crunchyroll Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Three in-person days per week. Tuesdays, Wednesdays, and Thursdays are the company-wide days for ALL team members to be in the office, and individuals may choose to come in more if they please.

Typical time on-site: 3 days a week
MX
Berlin, DE
Chișinău, Moldova
Dallas, TX
Grimes, IA
Hyderabad, India
Lausanne, Switzerland
London, UK
Los Angeles, CA
Company Office Image
Melbourne, Australia
New York, NY
Paris, FR
Company Office Image
San Francisco, CA
Tokyo
Learn more

Similar Jobs

Crunchyroll Logo Crunchyroll

Director, People Strategy & Partnership

Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Hybrid
Los Angeles, CA, USA
1300 Employees
185K-230K Annually

Crunchyroll Logo Crunchyroll

Internal Communications Senior Manager

Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Hybrid
Los Angeles, CA, USA
1300 Employees
113K-140K Annually

Crunchyroll Logo Crunchyroll

Development Manager

Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Hybrid
Los Angeles, CA, USA
1300 Employees
105K-130K Annually

Crunchyroll Logo Crunchyroll

Strategic Operations Senior Manager, Communications (Contract)

Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Hybrid
Los Angeles, CA, USA
1300 Employees
70-85 Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account