Who are they?
At Animaj, we want to stimulate the minds of young generations to make their world more colorful and inspiring – by flipping the script on the industry and being the best partners for independent creators.
We are animation entrepreneurs, building the ultimate gateway between these talented content creators and wide-eyed young audiences everywhere.
Our model is to acquire high-potential YouTube channels aimed at kids and families and scale them into Franchises (through content development, original productions, consumer products, and brand partnerships) - by providing strategic vision, powerful framework of support, expertise, financial resources, and state-of-the-art tools.
We are backed by a world-class team of investors including LeftLane, XAnge, Daphni, Bootstrap, Resonance, and some of the best tech business angels; we have raised ~ €100m since our creation in May 2022.
We are a fast-growing company aimed at changing the paradigm in the Kids entertainment industry.
Job description
At Animaj we’re developing cutting-edge machine learning based engines to better identify business opportunities, to understand audiences and entertainment content trends, and to recommend optimizations for their channels/content. These engines are powered by massive amounts of data on kids entertainment content that we collect from several sources (including Youtube APIs and social media) and that we ingest in our data platform.
Animaj is looking for an Machine Learning Engineer to bring these machine learning capabilities into our data platform.
You will report to the Head of Data, and collaborate closely with our data engineers as well as M&A, Ops and Digital Growth teams.
Responsibilities
- Design, implement, evaluate models for business opportunities sourcing, audience/content understanding and channels optimization (eg channel pricing, CPM estimation, topic extraction from videos, audience interests, reverse-engineer YT recommendations) leveraging data from several sources (Youtube API, social networks, etc)
- Perform multi-modal analysis to extract concepts from a pool of videos
- Perform explorations to understand what drives kids entertainmentchannels/videos performance on Youtube
- Design and run AB tests and experimentation to identify optimization levers for our Youtube channels/videos
- Manage machine learning models in production (logging, monitoring, alerting)
- Feed models outputs into our data pipelines to enrich our data models
- Collaborate with our data engineers to specify what data points/sources should be ingested
Our Stack
Python, Open Source ML Tools (TensorFlow, scikit-learn, …) AWS (S3, Airtable), ffmpeg, GitHub Actions…
Preferred experience
Requirements
- 5+ years of experience designing, training and deploying in production machine learning models
- You’re up to date with the most recent models and techniques in NLP, RL, DL fields and know how to best apply them to concrete business problems
- Coding skills in Python
- Ability to formalize, analyze and solve complexproblems
- Demonstrated strong autonomy, proactiveness, pragmatism and technical leadership
- Ability to explain complex scientific and technical concepts to any audience clearly
- English proficiency and experience working in an international environment
Recruitment process
Our Process
- First Interview with our TAM
- Tech Interview and Case Study with our Head of Data
- Final Interview with our CEO
Benefits
- Stock Options - We want all of our early employees to participate fully in Animaj’s success.
- Health Care - We provide totally subsidized/covered health care.
- Remote Policy - Dedicated to your work-life balance, we offer 2 days remote and 3 days per week at the office. Why ? Because we think that magic occurs when people work together, but we also believe that there are times when you need to be able to work uninterrupted.
- Work environment - A stimulating workplace that fosters creativity, autonomy and leadership.
This is a great opportunity to join an entrepreneurial adventure at an early stage, spearheading innovation for the whole company.
