Inkitt · 3 months ago
Senior Machine Learning Engineer, Recommendations
Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. The Senior Machine Learning Engineer, Recommendations will collaborate with cross-functional teams to design and implement scalable recommendation systems, develop machine learning models, and ensure high performance and reliability of the infrastructure.
AnalyticsArtificial Intelligence (AI)ContentDigital EntertainmentMedia and EntertainmentPublishing
Responsibilities
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
Qualification
Required
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
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
Preferred
Familiarity with GoAPI and TypeScript is a plus
Benefits
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 off-site trip
Unlimited access to our Galatea app and CandyJarTV 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 friendly offices in Berlin and San Francisco
Company
Inkitt
Inkitt is building the Disney of the 21st century: using AI to find unknown stories and turning them into blockbusters (novels and TV shows)
H1B Sponsorship
Inkitt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$117MKey Investors
Khosla VenturesHenry KravisNew Enterprise Associates
2024-02-26Series C· $37M
2022-03-28Series Unknown
2021-10-04Series B· $59M
Recent News
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