Generative AI / Machine Learning Engineer, Medal X General Intuition
$140-275k
+ Stock options
3-5 days a week in office
Social video platform for gaming
Job no longer available
Social video platform for gaming
101-200 employees
Job no longer available
$140-275k
+ Stock options
3-5 days a week in office
101-200 employees
Company mission
To connect people by creating memories while they are physically apart!
Role
Who you are
- 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
- 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
What the job involves
- This role will be responsible for embedding Medal's database of billions of gaming clips to be contextualized more easily in the product, in addition to augmenting the embeddings via automated annotations and computer vision to create rich context around the clips
- From a product perspective, this work will be used to improve library and social search functionality, and inform the ML recommendation system in Medal's social feed. In the future, the work will be used to improve the quality of the video editor via automation
- Our stack:
- ML technologies: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, Airflow
Application process
- Please include the following: Links to apps you’ve released/portfolio, and a description of your contributions, Resume, LinkedIn (Twitter if relevant), Github
Our take
Video games have become highly social experiences due to multiplayer gaming, eSports and social media, spawning a huge market for audiences who enjoy watching gaming-related video content. Gamers commonly stream games and edit the footage to produce memes and engage with friends, but this requires many software tools and a separate platform on which to share experiences.
Medal provides a social platform for gaming video clips. It allows users to record and edit footage, make gaming memes, and share content with friends from one place. While the company competes with platform giants like Twitch, it stands out by being specifically designed for gaming content. It also collects in-game data to mitigate cheating and cyberbullying, and integrates directly into any Windows or Android game.
In 2025, Medal spun out "General Intuition", and has since been hiring to both its own and the new company's team. General Intuition's mission is to build a new class of models that can perceive, predict and act in both virtual and physical environments. It is leveraging Medal's vast datasets to this end, reducing the limitations on machine intelligence by training AI on interaction and exploration rather than just written words.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-21% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2024
$13m
LATE VC
Dec 2021
$45m
SERIES C
Total funding: $85.8m
Company HQ
Flatiron District, New York, NY
Additional info
- General Intuition is the frontier lab for acting in space and time, spun out of Medal in 2025. Find out more at www.generalintuition.com
Leadership
Iggy Harmsen
(Co-Founder & Product)Former COO/CCO/Finance for the company. Worked in CS and Marketing for Soulsplit from 2012 to 2015.
Ken Colton
(CEO)Joined the company as Lead Software Engineer in 2021, becoming CTO then President then CEO. Previously Lead Software Engineer at Gif Your Game, Technical Lead at Grubhub and CTO at Material World. Co-founded and was Front-End Lead at Twubs.
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