Machine Learning Engineer

il y a 1 mois

Paris, France Fabric Ventures Group Temps plein

Welcome to Homa, the gaming technology lab that is taking the industry by storm Our team of over 200 people, hailing from more than 35 different countries, is dedicated to empowering mobile game creators worldwide to bring their creative ideas to the top charts.

Our Homa Lab platform offers a comprehensive suite of cutting-edge tools that allow developers to stay on top of the latest trends, test new features in real-time, and easily distribute and monetize their games. Our success speaks for itself - our apps have been downloaded over 1 billion times

Since our inception, we have raised $165 million in total from prominent investors, including Headline, Northzone, Eurazeo, Singular, Quadrille Capital, Fabric Ventures, and Bpifrance. We have also received support from renowned business angels, such as the founders of King, Sorare and Spotify founders.

But what really makes Homa special is our team. We are a diverse group of artists, business developers, engineers, entrepreneurs, and former strategy consultants who all share the same passion for taking over the gaming industry. When you become part of Homa, you'll be joining a dedicated team that creates innovative and high-performing games that resonate with players worldwide.

If you're ready to take your career to the next level and make a real impact in the company, then Homa is the perfect place for you. Join us and let's create the future of gaming together

Meet the team  

You will join the Data department organized into:

- A  Data Platform team with 5 Data Engineers responsible for ingesting large amounts of data from multiple different sources, creating and maintaining a core data model which aims at making data standardized, reliable and easily available

- A  Data Science and ML Platform team with 6 Data Scientists / ML Engineer working on ML-driven data products: Autobidder for User Acquisition, N-Testing for experimentation

- An  Advanced Analytics & Data Science team with 6 Data Analysts and Scientists exploiting our data for:

  • Game Analytics
  • User Acquisition and Marketing Analytics
  • Market Inteligence Analytics
  • Ops Analytics

Role and Missions — What you will do  

We are looking for a Machine Learning Engineer to join the team in order to scale and industrialize Machine Learning & AI at Homa. Under the responsibility of our Associate Director, your responsibilities will be the following:

  • Take part in ML Projects: Spearhead development and implementation of ML models for Marketing Tech (User Acquisition, Monetization) and Game Tech (Bayesian A/B Testing, Segmentation)
  • ML Industrialization & Democratization: Enhance ML engineering processes, adopt ML Ops tools, and contribute to model interpretability and collaborative efforts.
  • Implement Scalable ML Solutions: Build Serving APIs for handling millions of requests daily with low latency.
  • Collaborative Innovation: Work closely with diverse teams, leveraging GenAI tools for productivity and product improvements.
  • Stay Updated: Integrate latest ML technologies and advancements into our tech stack.
  • Current Tech Stack : AWS, Redshift, Databricks, Python, DBT, Spark, Airflow, Kafka, Kubernetes, LightGBM, MLFlow, Metabase

If you’re creative, ambitious, and up for taking over the industry, we want you on our team We are also looking for:

  • First ML Experience: ~2 years in implementing and deploying ML models to production.
  • Key Technology Proficiency: Experience in Neural Networks (TensorFlow / PyTorch), Gradient Boosting libraries (LightGBM / XGBoost), and at least one top Cloud provider (GCP, Azure, AWS).
  • MLOps Skills: Knowledge of ML Ops tools like MLFlow.
  • API Development Expertise: Ability in building high-performance Serving APIs.
  • Collaborative Skills: Excellent communication and teamwork abilities.
  • Innovative Mindset: Passion for staying ahead in ML trends and technologies.
  • Language Skills : Fluency English is mandatory (interviews will be led in English)

Our Culture—Who we are ????

At Homa, we are building a community of brilliant talents. We believe that true innovation comes from diversity and collaboration, and that's why we prioritize brainpower and determination over formal education. So if you have the talent, energy and motivation, there is no obstacle to your success here.

As the creative experts behind the platform, we provide developers with the data they need to bring their ideas to life. Our team lives by three central values that guide everything we do:

Ambition : we're not afraid to tackle difficult challenges and set our goals extremely high. We're on a mission to revolutionize an industry dominated by well-established companies, and we won't stop until we succeed.

Humility : we leave our pride & ego aside. We are always ready to lend a helping hand, celebrate each other's successes, and learn from our failures. As Mr. Lamar said, "Sit down. Be humble."

Curiosity : we keep our minds open and never stop learning. We believe that questioning everything is the best way to stay ahead of the curve, and we encourage all our team members to stay curious and never stop exploring new ideas.

At Homa, you'll be challenged, supported, and inspired every day, and we can't wait to see what you bring to the table.

While success is its own reward, here are some of the benefits that come with working at Homa:

  • We offer essential benefits in France and specific locations, including health insurance, meal vouchers, public transport subsidies, childcare benefits, and life insurance
  • If you're interested in working from our newly renovated Paris HQ with a rooftop garden and WeWork amenities, we have a desk waiting for you
  • You will be working in English with our international team of top-tier talents from 35+ countries
  • You will have bi-annual reviews with your manager to reflect on your performance, celebrate wins, and receive constructive feedback
  • You will be able to attend diverse team events and  Workations (the famous company-wide Homa trip).
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