Staff Machine Learning Engineer
$158,100.00 - $211,900.00 per year
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Posted 2 days ago
SENIORITY
Manager
SALARY
$158,100.00 - $211,900.00 per year
About the role
- Lead the design and development of ML solutions in computer vision and multimodal AI that serve Studio users.
- Run focused experiments to select, adapt and fine-tune proven methods, and lead build-vs-buy-vs-partner decisions.
- Define evaluation methods, including for generative and subjective output, that tie model quality to real user outcomes.
- Work with engineering teams to take solutions into production, and iterate on them based on monitoring and user feedback.
- Set technical direction across teams, mentor engineers, and champion testing, code quality and reproducibility.
- Partner with product, engineering and business stakeholders to build the right solution, explaining the pros and cons of each approach to help them make sound business decisions.
- Develop solutions in line with Disney’s responsible AI principles, respecting content rights, IP and talent protections.
- Stay at the forefront of multimodal and generative AI, and bring the best ideas into Studio workflows.
- Master’s degree in Computer Science, Machine Learning, Computer Vision or a closely related field.
- Must have 7+ years of professional experience, including 4+ years deploying ML in production.
- Must have strong command of deep learning, with expertise in computer vision and multimodal models (e.g., vision-language models, video understanding).
- Demonstrated experience designing experiments and evaluation methods that drive product decisions.
- Must have strong Python and PyTorch (or equivalent), with production practices (version control, automated testing, CI/CD) and familiarity with Docker and cloud platforms.
- Must have proven track record of leading ML projects across teams and communicating clearly with non-technical partners.
- PhD in Computer Science, Machine Learning, Computer Vision or a related field, paired 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
