Senior Machine Learning Engineer, Recommendations

Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Leveraging AI and predictive algorithms,

Inkitt

discovers unknown stories and turns them into blockbuster hits, producing a new $1M ebook every 4 weeks and selling directly to consumers through its

Galatea

app. Inkitt has become the 11th most bestseller-generating publisher in the world, boasting a 40x higher hit-rate than traditional publishers. Recently raising a Series C and backed by some of the top VC's such as : Khosla, Kleiner Perkins, and NEA Ventures, our recent expansion into

CandyJarTV

is only the beginning of our journey to becoming the next-gen entertainment powerhouse.

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 CandyJarTV).
• Ensure code and systems meet stringent reliability and performance standards, scaling seamlessly to support millions of users.

What You'll Bring :

Who We Are Looking For :

What We'll Offer :

At Inkitt, we strive to build a company culture and provide employment opportunities based on diversity and inclusion. We believe every author should have an equal opportunity to succeed, as should our team members. As a growing team from 20+ countries, we welcome everyone to apply.

We look forward to hearing from you!

Check out our

Careers Blog

Follow us on

InstagramLinkedIn!

J-18808-Ljbffr