Crunchyroll
Senior Machine Learning Engineer
Crunchyroll, San Francisco, California, United States, 94199
About Crunchyroll
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. Over 100 million fans across 200+ countries rely on our streaming, theatrical, games, merchandise and events.
About the Role Lead the AI/ML team to build graph‑based, LLM and vector solutions that drive business impact for content discovery, fraud prevention and payments.
Research, develop and deploy Graph Neural Network (GNN), GraphRAG pipelines and LLM‑based solutions for real‑world applications.
Design and implement models across Crunchyroll domains leveraging machine learning, NLP and graph‑based techniques.
Build and optimize interactive content discovery systems using vector databases and embedding‑based techniques.
Develop end‑to‑end ML pipelines from data ingestion to model deployment and monitoring.
Work with AWS cloud services (SageMaker, Databricks, Lambda, S3, Kinesis) to scale AI/ML workflows.
Optimize models for efficiency, performance, storage & cost to drive measurable business impact.
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
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field.
8+ 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 (TensorFlow, PyTorch, scikit‑learn).
Hands‑on experience with Graph Neural Networks, GraphRAG, LLMs 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 (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.
Benefits & Perks
Competitive salary plus performance‑based bonus potential.
Flexible time‑off policy.
Generous medical, dental, vision, STD, LTD and life insurance.
Health Savings Account (HSA) program.
Flexible dependent care FSA.
401(k) plan with employer match.
Employer‑paid commuter benefit.
Support program for new parents.
Pet insurance and pet‑friendly offices.
Crunchyroll Values
Courage – Overcome fear to unleash your best self.
Curiosity – A gateway to empathy, inclusion and understanding.
Service – Humble service to our community with joy and belonging.
Kaizen – Growth mindset committed to constant forward progress.
Crunchyroll is an equal‑opportunity employer. We celebrate diversity and inclusion.
#J-18808-Ljbffr
About the Role Lead the AI/ML team to build graph‑based, LLM and vector solutions that drive business impact for content discovery, fraud prevention and payments.
Research, develop and deploy Graph Neural Network (GNN), GraphRAG pipelines and LLM‑based solutions for real‑world applications.
Design and implement models across Crunchyroll domains leveraging machine learning, NLP and graph‑based techniques.
Build and optimize interactive content discovery systems using vector databases and embedding‑based techniques.
Develop end‑to‑end ML pipelines from data ingestion to model deployment and monitoring.
Work with AWS cloud services (SageMaker, Databricks, Lambda, S3, Kinesis) to scale AI/ML workflows.
Optimize models for efficiency, performance, storage & cost to drive measurable business impact.
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
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field.
8+ 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 (TensorFlow, PyTorch, scikit‑learn).
Hands‑on experience with Graph Neural Networks, GraphRAG, LLMs 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 (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.
Benefits & Perks
Competitive salary plus performance‑based bonus potential.
Flexible time‑off policy.
Generous medical, dental, vision, STD, LTD and life insurance.
Health Savings Account (HSA) program.
Flexible dependent care FSA.
401(k) plan with employer match.
Employer‑paid commuter benefit.
Support program for new parents.
Pet insurance and pet‑friendly offices.
Crunchyroll Values
Courage – Overcome fear to unleash your best self.
Curiosity – A gateway to empathy, inclusion and understanding.
Service – Humble service to our community with joy and belonging.
Kaizen – Growth mindset committed to constant forward progress.
Crunchyroll is an equal‑opportunity employer. We celebrate diversity and inclusion.
#J-18808-Ljbffr