Empowering brands to control content placement in closed digital environments, ensuring both performance and safety
Requirements
- 3+ years of experience building and deploying machine learning models, especially in computer vision
- Hands-on experience training models from scratch and with pre-trained transformer architectures
- Proficiency in Python and SQL (experience with Snowflake is a plus)
- Familiarity with cloud infrastructure (AWS/GCP) and containerized environments (Docker, Kubernetes)
- Strong understanding of ML pipelines, data structures, and system design
- Experience with distributed data processing frameworks
Responsibilities
- Build and optimize computer vision classifiers to interpret high-volume video content
- Work with large-scale datasets from top social media and video platforms
- Develop AI pipelines that incorporate transformer models, LLMs, and RAG systems
- Collaborate with cross-functional teams to research, test, and deploy ML models in production
- Contribute to model training, evaluation, and monitoring within a modern MLOps environment
- Write clean, scalable code and follow best practices in version control, testing, and documentation
- Stay current with research advancements and apply relevant findings to production systems
Other
- Ability to communicate complex technical concepts clearly to non-technical stakeholders
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Applicants must be authorized to work in the United States on a full-time basis now and in the future
- This position does not offer sponsorship
