FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning algorithms and frameworks, with a strong focus on multimedia applications. Proficient in collaborating with cross-functional teams to define system requirements and promote software engineering best practices.
Highest-signal resume keywords
Machine Learning Model DeploymentComputer Graphics / VFX ExperienceDeep Learning Frameworks (PyTorch, TensorFlow)Object-Oriented Programming (Python, Java, C++)Distributed Data Processing Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComputer VisionFeature ExtractionAlgorithm DevelopmentGenerative ModelsEnd-to-End Multimedia SystemsData ProcessingModel TrainingSoftware Engineering Best PracticesScalable Design
Soft Skills
Excellent CommunicationPeople EngagementCollaboration
Tools & Technologies
NukeHoudiniMayaAvidUnreal EngineUnityCloud Infrastructure
Industry Keywords
Multimedia DomainContent CreationGame PlatformsDistributed Model TrainingEmerging Field Ambiguity
Tech Stack
Tools & technologiesCloudJavaPythonPyTorchTensorflowUnityUnreal EngineC++
About the role
Key responsibilities & impact- Design and deploy reusable algorithms and frameworks for ML models in production
- Iterate across the full cycle of machine learning in the multimedia domain, including data processing, feature extraction, distributed model training with GPUs, and deploying produced models into production
- Collaborate cross-functionally with research scientists, product managers, creators, and business partners to define and prioritize system requirements
- Work closely with ML/CV/Graphics researchers, Infrastructure, and Studio teams to productize algorithms and models
- Participate in algorithm development and propose scalable designs
- Promote and facilitate software engineering best practices in the team
Requirements
What you’ll need- Strong track record of deploying artist-facing ML tools
- Experience with computer graphics / VFX / content creation / game platforms such as Nuke, Houdini, Maya, Avid, Unreal Engine, or Unity
- Excellent ML / CV fundamentals and experience with ML, CV, and/or graphics pipelines
- Skills in OO programming (Python, Java, or C++)
- Experience with large-scale distributed data processing systems and cloud infrastructure
- Comfort with the ambiguity of an emerging field
- Excellent communication and people engagement skills
- Experience with models and tools for generative models, such as Diffusion models and ComfyUI
- Building end-to-end multimedia systems and algorithms
- Deep learning frameworks such as PyTorch and Tensorflow
Benefits
Comp & perks- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off
