Data Scientist Engineer III

Crunchyroll


Date: 3 weeks ago
City: Hyderabad, Telangana
Contract type: Full time
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

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

  • Research, develop, and deploy Graph Neural Network (GNN) models, GraphRAG pipelines, and LLM-based solutions for real-world applications.
  • Design and implement fraud detection models leveraging machine learning, NLP, and graph-based techniques.
  • Build and optimize interactive content discovery systems using Vector Databases and embedding-based techniques.
  • Develop and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring.
  • Work with AWS cloud services (e.g., SageMaker, Databricks, Lambda, S3, Kinesis) to scale AI/ML workflows.
  • Optimize models for efficiency, performance, storage, and cost, ensuring they drive measurable business impact (e.g., content discovery, fraud prevention).
  • Collaborate with data engineering and software teams to ensure smooth deployment, monitoring, and scalability of AI/ML models in production.
  • Communicate technical concepts effectively to both technical and non-technical stakeholders.

About You

We get excited about candidates, like you, because...

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of experience in data science, with a strong focus on machine learning, AI, and production-grade model deployment.
  • Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Hands-on experience with Graph Neural Networks, GraphRAG, LLMs, Graph and Vector Databases.
  • Experience with fraud analysis using machine learning, graph analytics, or NLP techniques.
  • Proficiency in Python, R, or similar programming languages.
  • Strong knowledge of cloud platforms (AWS preferred) and experience with data-related services (e.g., Databricks, SageMaker, Kinesis, Lambda).
  • Ability to optimize AI/ML models for performance, efficiency, and cost-effectiveness.
  • Strong analytical, problem-solving, and communication skills, with the ability to explain complex ML concepts to cross-functional stakeholders.

About The Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

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.

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