Computer Vision / Video ML Engineer, Medal.tv

$140-275k

+ Stock options

React

Kubernetes

Redux

GCP

Java

Redis

iOS

Android

Tensorflow

Kotlin

Terraform

Swift

C++

RabbitMQ

Scikit-Learn

CUDA

BigQuery

Electron

Mid and Senior level

New York

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

B2CGamingeSportsSocialDigital MediaSaaS

Open for applications

$140-275k

+ Stock options

React

Kubernetes

Redux

GCP

Java

Redis

iOS

Android

Tensorflow

Kotlin

Terraform

Swift

C++

RabbitMQ

Scikit-Learn

CUDA

BigQuery

Electron

Mid and Senior level

New York

3-5 days a week in office

21-100 employees

B2CGamingeSportsSocialDigital MediaSaaS

Company mission

To connect people by creating memories while they are physically apart!

Job

Company

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

Your work will have a real impact on millions of people around the world!
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
ML technologies: TensorFlow, SciKit-Learn, CatBoost, Hugging Face, Nvidia CUDA Toolkit, GCP, Bigquery, Vertex AI

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

Top investors

Few candidates hear
back within 2 weeks

-21% employee growth in 12 months

Glassdoor (3.5)

Trustpilot (2.3)

Company

Funding (last 2 of 5 rounds)

Jul 2024

$13m

LATE VC

Dec 2021

$45m

SERIES C

Total funding: $85.1m

Company HQ

Naarden, Netherlands

Articles

Medal Raises $13M in Funding at $333M Valuation

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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