Staff Machine Learning Engineer
Job Description
Lead applied deep learning efforts in computer vision and multimodal AI, guiding solutions from experiment to production for Studio users.
Responsibilities
- Design and develop machine learning solutions for computer vision and multimodal AI used by Studio teams.
- Run targeted experiments to select, adapt, and fine-tune proven approaches.
- Lead build-vs-buy-vs-partner decisions based on feasibility and outcomes.
- Define evaluation methods, including approaches for generative and subjective outputs, connecting model quality to real user outcomes.
- Collaborate with engineering teams to move solutions into production and iterate using monitoring and user feedback.
- Set technical direction across teams, mentor engineers, and promote testing, code quality, and reproducibility.
- Partner with product, engineering, and business stakeholders to shape the right solution and explain tradeoffs clearly for sound business decisions.
- Develop in alignment with Disney responsible AI principles, respecting content rights, IP, and talent protections.
- Stay current with multimodal and generative AI and bring improved methods into Studio workflows.
Requirements
- Master’s degree in Computer Science, Machine Learning, Computer Vision, or a closely related field.
- 7+ years of professional experience; 4+ years deploying machine learning in production.
- Strong deep learning expertise, including computer vision and multimodal models (examples provided: vision-language models, video understanding).
- Experience designing experiments and evaluation methods that influence product decisions.
- Strong Python and PyTorch (or equivalent), plus production practices such as version control, automated testing, and CI/CD; familiarity with Docker and cloud platforms.
- Proven ability to lead ML projects across teams and communicate effectively with non-technical partners.
Preferred Qualifications
- PhD in Computer Science, Machine Learning, Computer Vision, or a related field, with experience applying that depth to shipped products.
- Experience with generative models, distributed training, or ML at scale.
- Experience building tools with or for creative professionals.
- Background in media and entertainment.
Technical Skills / Technologies
- Python
- PyTorch
- Docker
- CI/CD
- Cloud platforms
- Vision-language models
Location & Work Model
- Onsite in Burbank, CA.
- This is not a remote role; you must be in the area or open to relocation.
Compensation & Pay Transparency
- Hiring range (Burbank): $158,100.00 - $211,900.00 per year.
- Base pay offered may consider internal equity and may vary based on geographic region, job-related knowledge, skills, and experience.
- Bonus and/or long-term incentive units may be provided as part of the compensation package.
- Medical, financial, and/or other benefits may be provided, depending on level and position offered.