Sony Pictures Entertainment, Inc
Sr Applied Data Scientist - AI/ML
Sony Pictures Entertainment, Inc, Culver City, California, United States, 90232
Sony Pictures Entertainment (SPE) is home to some of the world’s most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment.
We are seeking a
Senior Applied Data Scientist – AI/ML
to join our team. This role blends expertise in data science, applied research in AI/ML, and MLOps/engineering to design, deploy, and scale AI-driven solutions. You will be at the forefront of applying
advanced ML and generative AI techniques
to SPE’s content, marketing, and distribution businesses — while ensuring robust production systems and pipelines to bring these solutions to life. You will design frameworks to evaluate and retrain AI systems, implement
agentic flows
to accelerate workflows, and drive adoption of responsible AI practices across Sony Pictures. What You’ll Do
Design and develop
machine learning models
(including classification models, time series forecasting, clustering, and regressions) that drive impact Develop frameworks to improve data science methodologies
Eg. Transforming
unstructured free-text data
into structured insights for sales, marketing, and production teams Eg. Enable
no-code stakeholder integrations , embedding custom data science models into tools like Excel for easy adoption by non-technical users.
Partner with data scientists, cloud ops, and MLOps supporting teams to
productionalize models
in cloud environments
Build and optimize data pipelines and model training workflows to ensure
robust monitoring, explainability, and reproducibility. Implement best practices in
model governance
— versioning, bias detection, interpretability, and responsible AI. Develop dashboards to track model performance and data quality. Recommend, onboard, and implement
any necessary tools or frameworks
to strengthen our AI lifecycle management.
Lead roadmapping and application of
LLMs and generative AI techniques
(prompt engineering, fine-tuning, embeddings) to solve challenges in content analysis, metadata enrichment, and workflow automation.
Lead
feature engineering with Gen AI,
(eg. genre tagging) Design accuracy and retraining frameworks
for generative AI (multi-LLM evaluation, manual training sets, human-in-the-loop workflows).
Mentor team members on AI engineering best practices, promoting a culture of continuous learning and innovation. Stay at the forefront of
emerging AI technologies , evaluating new tools and frameworks to enhance SPE’s capabilities, and sharing knowledge across the team What We’re Looking For
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field;
Master’s preferred . 8+ years of applied experience
in AI/ML, data science, or related roles. Strong proficiency in
Python and SQL , with expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost). Strong knowledge and experience with traditional data science techniques, such as classification and regression Hands-on experience with
MLOps tools
(Airflow, Docker, Kubernetes, MLflow, SageMaker, Kubeflow). Proven track record of
deploying and maintaining ML/AI models in production
environments. Solid understanding of
generative AI (LLMs, embeddings, fine-tuning)
and open-source ecosystems (Hugging Face, LangChain, etc.). Experience designing and implementing
CI/CD workflows for ML systems . Hands-on experience with
agentic AI systems
— designing, deploying, or evaluating frameworks such as LangChain agents, crew.ai, and MCP (Model Context Protocol). Strong problem-solving skills, attention to detail, and ability to thrive in a fast-moving environment. Excellent communication skills — capable of collaborating across technical and non-technical teams. Highly collaborative, curious, and flexible. Comfortable working across both
research exploration
and
production deployment . Nice to have
Experience in the media & entertainment industry. Contributions to open-source AI/ML projects or publications. Why Join Us
Shape the future of entertainment by applying
cutting-edge AI/ML solutions
to content creation, distribution, and marketing. Work on
high-impact Gen AI projects
with global reach, influencing how millions of people discover and enjoy Sony content. Collaborate with a diverse, innovative team of engineers, scientists, and strategists. Be part of a culture that values
curiosity, innovation, and continuous learning , with access to professional development and emerging AI tools. Enjoy the benefits of working at a global studio while contributing to projects that matter.
#J-18808-Ljbffr
Senior Applied Data Scientist – AI/ML
to join our team. This role blends expertise in data science, applied research in AI/ML, and MLOps/engineering to design, deploy, and scale AI-driven solutions. You will be at the forefront of applying
advanced ML and generative AI techniques
to SPE’s content, marketing, and distribution businesses — while ensuring robust production systems and pipelines to bring these solutions to life. You will design frameworks to evaluate and retrain AI systems, implement
agentic flows
to accelerate workflows, and drive adoption of responsible AI practices across Sony Pictures. What You’ll Do
Design and develop
machine learning models
(including classification models, time series forecasting, clustering, and regressions) that drive impact Develop frameworks to improve data science methodologies
Eg. Transforming
unstructured free-text data
into structured insights for sales, marketing, and production teams Eg. Enable
no-code stakeholder integrations , embedding custom data science models into tools like Excel for easy adoption by non-technical users.
Partner with data scientists, cloud ops, and MLOps supporting teams to
productionalize models
in cloud environments
Build and optimize data pipelines and model training workflows to ensure
robust monitoring, explainability, and reproducibility. Implement best practices in
model governance
— versioning, bias detection, interpretability, and responsible AI. Develop dashboards to track model performance and data quality. Recommend, onboard, and implement
any necessary tools or frameworks
to strengthen our AI lifecycle management.
Lead roadmapping and application of
LLMs and generative AI techniques
(prompt engineering, fine-tuning, embeddings) to solve challenges in content analysis, metadata enrichment, and workflow automation.
Lead
feature engineering with Gen AI,
(eg. genre tagging) Design accuracy and retraining frameworks
for generative AI (multi-LLM evaluation, manual training sets, human-in-the-loop workflows).
Mentor team members on AI engineering best practices, promoting a culture of continuous learning and innovation. Stay at the forefront of
emerging AI technologies , evaluating new tools and frameworks to enhance SPE’s capabilities, and sharing knowledge across the team What We’re Looking For
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field;
Master’s preferred . 8+ years of applied experience
in AI/ML, data science, or related roles. Strong proficiency in
Python and SQL , with expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost). Strong knowledge and experience with traditional data science techniques, such as classification and regression Hands-on experience with
MLOps tools
(Airflow, Docker, Kubernetes, MLflow, SageMaker, Kubeflow). Proven track record of
deploying and maintaining ML/AI models in production
environments. Solid understanding of
generative AI (LLMs, embeddings, fine-tuning)
and open-source ecosystems (Hugging Face, LangChain, etc.). Experience designing and implementing
CI/CD workflows for ML systems . Hands-on experience with
agentic AI systems
— designing, deploying, or evaluating frameworks such as LangChain agents, crew.ai, and MCP (Model Context Protocol). Strong problem-solving skills, attention to detail, and ability to thrive in a fast-moving environment. Excellent communication skills — capable of collaborating across technical and non-technical teams. Highly collaborative, curious, and flexible. Comfortable working across both
research exploration
and
production deployment . Nice to have
Experience in the media & entertainment industry. Contributions to open-source AI/ML projects or publications. Why Join Us
Shape the future of entertainment by applying
cutting-edge AI/ML solutions
to content creation, distribution, and marketing. Work on
high-impact Gen AI projects
with global reach, influencing how millions of people discover and enjoy Sony content. Collaborate with a diverse, innovative team of engineers, scientists, and strategists. Be part of a culture that values
curiosity, innovation, and continuous learning , with access to professional development and emerging AI tools. Enjoy the benefits of working at a global studio while contributing to projects that matter.
#J-18808-Ljbffr