Senior Machine Learning Engineer, Recommendations

What You'll Do:

• Collaborate with cross-functional teams, including Product, Data Science, and Engineering, to design and implement scalable recommendation systems that deliver hyper-personalized experiences to users.
• Develop and optimize machine learning models for recommendation engines, utilizing techniques such as collaborative filtering, content-based filtering, and deep learning.
• Build and maintain infrastructure for model training, deployment, and real-time/batch inference, ensuring high performance and reliability.
• Conduct A/B tests and analyze experiment results to iterate on recommendation strategies and improve key metrics such as user engagement and retention.
• Contribute to the design and implementation of robust APIs and services, primarily in Python, Go, and TypeScript, to support recommendation features across our apps (Inkitt, Galatea, and GalateaTV).
• Ensure code and systems meet stringent reliability and performance standards, scaling seamlessly to support millions of users.

What You'll Bring:

• Master’s or PhD in Computer Science, Machine Learning, or a related field.
• 5+ years of experience in developing and deploying recommendation systems at scale.
• Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with GoAPI and TypeScript is a plus.
• Deep understanding of machine learning algorithms and their application in personalized content recommendations.
• Proven ability to move from theoretical models to practical, scalable application logic in production environments.
• Experience with distributed systems and cloud infrastructure, such as AWS, GCP, or Azure.
• A strong focus on reliability, performance, and maintainability in engineering practices.

Who We Are Looking For:

• Autonomous
• Bring solutions instead of problems
• Data driven
• Quick to action
• A high functioning workaholic
• Looking for exponential career growth
• Have lots of fun building a generational AI x Entertainment company

What We'll Offer:

• 401k plan, designed to help you save for the future
• Health benefits tailored to your needs, including medical, dental, and vision coverage
• Professional coaching for everyone
• Team-building events, including our annual Tulum trip
• Unlimited access to our Galatea app and Galatea TV app
• Unlimited budget for self-development books
• Charity donation of your choice at your one year anniversary
• Free lunch in office everyday
• Class Pass membership for US based employee and gym access for Berlin employees
• Dog/cat friendly offices in Berlin and San Francisco