Senior Machine Learning Engineer, Recommendations
Job Summary
Job Description
- 5+ years experience in developing and deploying recommendation systems at scale
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Deep understanding of ML algorithms for personalized recommendations
- Ability to translate theoretical models into practical, scalable applications
- Experience with distributed systems and cloud infrastructure (AWS, GCP, Azure)
- Familiarity with Go API and TypeScript
11 skills required
Job Details
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.
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About The Company
We believe every author should have an equal opportunity to succeed. Therefore, our mission is to discover hidden talents and turn them into globally successful authors.
Inkitt is a pioneer at the forefront of Data Driven Publishing. Using an analytic and objective approach, we’ve discovered hundreds of talented authors around the world with over 50% of our published authors achieving $100,000+ in sales. We have forever changed the traditional publishing model by inventing an algorithm which analyzes users' reading behavior to identify hits, in turn removing subjectivity from the equation. This gives Inkitt the unique ability to discover hidden talents that might otherwise have gone unnoticed.
Hits that are identified by our algorithm, are then licensed to and distributed on our Galatea app where we systematically generate blockbusters by A/B testing the content of our stories. This process is our own unique creation, and something which has never before been done in the entertainment industry.
At present, we are an international team of 85 passionate and dedicated inventors and entrepreneurs and we are growing quickly. We are proud that our mission has persuaded early investors in Google and Spotify to back us, as well as attracted talents from Netflix, Activision Blizzard, DeliveryHero, Babbel, and N26 to join us.
We invent new solutions to problems we encounter, as opposed to simply iterating upon existing solutions.
Join us to build the Disney of the 21st Century!
FT1000: #8 Fastest-Growing Company in Europe 2023
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