Senior Machine Learning Engineer, Inkitt
Recommendations
$180-250k
Publishing based on site reader engagement
Be an early applicant
Publishing based on site reader engagement
201-500 employees
Be an early applicant
$180-250k
201-500 employees
Company mission
To discover talented writers and turn them into globally successful authors.
Role
Who you are
- 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
- 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 the job involves
- 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
Our take
The current publishing industry makes it very difficult for breakout authors to achieve success. Furthermore, publications are often based off subjective opinions of those in the industry, and potential readers have no input in the matter, despite them being the force that will drive a book's success.
Inkitt takes a different approach to publishing in order to give writers a fairer chance of success. The company allows writers to submit their stories onto the website where readers have free access to read anything posted. Using an algorithm, Inkitt then determines which stories have the most reader engagement, and based on this information, decides which to take to official print and publication.
Several rounds of funding to the sum of more than $100 million have allowed Inkitt to invest more in its algorithm and technology and open offices in San Francisco. It's also looking to expand into more mediums such as video content and audiobooks, with a long-term aim of building a media empire akin to Disney. Though there's a long way to go for that lofty aim to come to fruition, Inkitt has already attracted 33 million users and published dozens of bestsellers.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2024
$37m
SERIES C
Oct 2021
$59m
SERIES B
Total funding: $116m
Company benefits
- Comprehensive Health Plans including Fitness Classes
- Expat integration support including complimentary German classes
- Flexible working environment including weekly remote days
- High-performing culture for learning at speed + unlimited book budget
- Regular social events and free dinners
- Dog-friendly office
Company HQ
South Park, San Francisco, CA
Articles
Leadership
Ali Albazaz
(Founder & CEO)Founder and CEO of Fünfi and then joined moviepilot as a Javascript developer. After this, Albazaz freelanced as a Javascript developer for six years.
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