Generative AI / Machine Learning Engineer, Medal.tv
$140-275k
+ Stock options
3-5 days a week in office
Social platform for short-form gaming video clips
Open for applications
Social platform for short-form gaming video clips
21-100 employees
Open for applications
$140-275k
+ Stock options
3-5 days a week in office
21-100 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.tv provides a social platform for gaming video clips, allowing users to record and edit footage, make gaming memes, and share content with friends within the same software. The platform collects in-game data to mitigate cheating and cyberbullying and integrates directly into any Windows or Android game.
Whilst the company will face great competition from platform giants such as Youtube, TikTok, and Twitch, Medal.tv shows the potential to stand out by being specifically designed for gaming content. Furthermore, the platform’s accessible video capturing and editing interface keeps the end-to-end social gaming experience within the same platform, making it more convenient and immersive for gamers than on other platforms.
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: $85.3m
Company HQ
Naarden, Netherlands
Leadership
Pim de Witte
(Co-Founder & CEO)Co-founder and CEO of Highlight. Experience as Founder, CEO & CTO of Soulsplit from 2009 to 2014. Software Engineer and Product Manager for Médecins Sans Frontières (MSF) from 2014 to 2017.
Joshua Lipson
(Co-Founder & Chief Architect)Co-founder and Chief Architect at Highlight. Full Stack Developer and CTO of Soulsplit from 2013 to 2015.
Iggy Harmsen
(Co-Founder & Product Design)Worked in CS & Marketing for Soulsplit from 2012 to 2015.
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