Computer Vision / Video ML Engineer, Medal.tv

$140-275k

+ Stock options

React
Kubernetes
Redux
GCP
C#
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

Medal.tv

Social platform for short-form gaming video clips

Open for applications

Medal.tv

Social platform for short-form gaming video clips

21-100 employees

B2CGamingeSportsSocialDigital MediaSaaS

Open for applications

$140-275k

+ Stock options

React
Kubernetes
Redux
GCP
C#
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!

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 youโ€™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 to share experiences on.

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 platformโ€™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 headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

-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: $85.5m

Company benefits

  • ๐Ÿ’ฐ Competitive compensation: Our compensation formula adjusts to your cost of living and experience.
  • ๐Ÿฆ Competitive stock options: Joining the Medal journey means you can take part of the company upside
  • ๐Ÿ’ป Technology: Get hooked up with a laptop to do your best work
  • ๐Ÿ–๏ธ Fully remote work environment
  • ๐Ÿ„โ€โ™‚๏ธ Unlimited vacations (4+ weeks standard)
  • ๐Ÿค‘ $1k Home office budget
  • โœˆ๏ธ Team gatherings once we can travel again
  • ๐Ÿผ Paid parental leave: 20 weeks for primary caregiver and 12 weeks for secondary
  • ๐ŸŽ‰ All the fun and frolics that come with working for a gaming company
  • ๐Ÿฅ Full Medical for employee and two dependents (US employees only)
  • ๐Ÿฅ Full Dental and Vision for employee and all dependents (US employees only)
  • ๐Ÿ’ต 401K (US employees only)

Company HQ

Naarden, Netherlands

Leadership

Experience as Founder, CEO & CTO of Soulsplit from 2009 to 2014. Software Engineer and Product Manager for Mรฉdecins Sans Frontiรจres (MSF) from 2014 to 2017.

Full Stack Developer and CTO of Soulsplit from 2013 to 2015.

Iggy Harmsen

(Business Director)

Worked in CS & Marketing for Soulsplit from 2012 to 2015.

Zaid Elnasser

(Software Engineer)

Experience as Software Engineer for Fancy Turnip.

Patrick Rietbroek

(Legal and Tax Director)

Attorney at Law & Tax Advisor for Baker & McKenzie from 2000 to 2009, Greenberg Traurig from 2009 to 2012 and for Ryan from 2012 to 2015.

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