Medal, Highlight, & General Intuition
Generative AI / Machine Learning Engineer - NYC
Medal, Highlight, & General Intuition, New York, New York, us, 10261
Medal enables millions of gamers to capture and share their best gaming moments and create memories together.
This role will be responsible for embedding Medal's database of billions of gaming clips for easier contextualization in the product. In addition, you will support us to augment the embeddings via automated annotations and computer vision to create rich context around the clips.
From a product perspective, your work will improve library and social search functionality, and inform the Machine Learning (ML) recommendation system in Medal's social feed. In the future, this work will be critical for improving the quality of the video editor via automation.
What we're looking for:
Depth of XP
4+ years of video machine-learning, with a focus on image embedding and computer vision. Bonus for applicants who have XP in generative AI, familiarity with high throughput video inference/feature extraction
In-person
Looking to hire in NYC to contribute alongside the product team. 3+ days in the office
Ownership & attention to detail
You see things through, and can be responsible for end-to-end quality of complex features.
Code Performance
Excellent understanding of code performance and performance implications in production
Be result-driven
Everything we do is driven by the metrics and performance of the feature. We move fast and ship regularly
Measuring with metrics
Comfort with A/B testing and measuring results with usage metrics
Gaming
A passion for games and the gaming communities, and a user of Discord and other gaming-adjacent products. XP working on gaming-related projects is a plus
Our stack:
ML technologies: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, Airflow
Desktop Front-end: Electron, React, Redux, & other modern web-based technologies
Recorder: C# and C++
Mobile: Swift for iOS, Kotlin for Android
Backend: Java, Redis, RabbitMQ, Kubernetes, Docker
Infra: Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CD
Please include the following:
Links to apps you’ve released/portfolio, and a description of your contributions
Resume
LinkedIn (Twitter if relevant)
Github
#J-18808-Ljbffr
Depth of XP
4+ years of video machine-learning, with a focus on image embedding and computer vision. Bonus for applicants who have XP in generative AI, familiarity with high throughput video inference/feature extraction
In-person
Looking to hire in NYC to contribute alongside the product team. 3+ days in the office
Ownership & attention to detail
You see things through, and can be responsible for end-to-end quality of complex features.
Code Performance
Excellent understanding of code performance and performance implications in production
Be result-driven
Everything we do is driven by the metrics and performance of the feature. We move fast and ship regularly
Measuring with metrics
Comfort with A/B testing and measuring results with usage metrics
Gaming
A passion for games and the gaming communities, and a user of Discord and other gaming-adjacent products. XP working on gaming-related projects is a plus
Our stack:
ML technologies: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, Airflow
Desktop Front-end: Electron, React, Redux, & other modern web-based technologies
Recorder: C# and C++
Mobile: Swift for iOS, Kotlin for Android
Backend: Java, Redis, RabbitMQ, Kubernetes, Docker
Infra: Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CD
Please include the following:
Links to apps you’ve released/portfolio, and a description of your contributions
Resume
LinkedIn (Twitter if relevant)
Github
#J-18808-Ljbffr