Sr Applied Data Scientist AIML
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Job Location:
Culver, CA - USA
Monthly Salary:
$ 130 - 170
Posted on:
24 days ago
Vacancies:
1 Vacancy
Job Summary
Sony Pictures Entertainment (SPE) is home to some of the worlds 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 SPEs 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 Youll 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 SPEs capabilities and sharing knowledge across the team
What Were Looking For
- Bachelors degree in Computer Science Data Science Engineering or a related field; Masters 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 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.
Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex national origin disability veteran status age sexual orientation gender identity or other protected characteristics.
SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.
To request an accommodation for purposes of participating in the hiring process you may contact us at
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
The toga lady holds her torch high for film audiences everywhere by representing Columbia Pictures, the studio through which Sony Pictures Entertainment produces its big budget movies. The studio was founded in 1924, and in 1982 it was purchased by Coca-Cola. Sony purchased ...
