Senior Machine Learning Engineer, Recommendations at Inkitt

San Francisco, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

Machine LearningRecommendation SystemsTensorFlowPythonGoTypeScriptCollaborative FilteringContent-Based FilteringDeep LearningA/B TestingAPI DesignModel DeploymentScalabilityPerformance Optimization

Questions & Answers

Common questions about this position

What benefits does Inkitt offer?

Inkitt offers a 401k plan, health benefits including medical, dental, and vision coverage, professional coaching for everyone, team-building events like the annual Tulum trip, and unlimited access to the Galatea app and Galatea TV.

What is the salary for this Senior Machine Learning Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Master’s or PhD in Computer Science, Machine Learning, or related field, 5+ years in developing and deploying recommendation systems at scale, proficiency in Python with frameworks like TensorFlow, PyTorch, or Scikit-learn, deep understanding of ML algorithms for recommendations, and experience with distributed systems and cloud infrastructure.

What kind of person is Inkitt looking for in this role?

Inkitt seeks autonomous individuals who bring solutions instead of problems, are data-driven, quick to action, high-functioning workaholics looking for exponential career growth, and enjoy having fun building an AI x Entertainment company.

Inkitt

Reader-powered digital publishing platform

About Inkitt

Inkitt operates as a reader-powered publisher, offering a platform where readers can access a diverse range of books for free across various genres like fantasy, sci-fi, romance, and more. The platform allows readers to provide feedback to authors, influencing the development of stories. Authors can submit their works, which Inkitt evaluates based on reader engagement metrics such as reading time and feedback. Successful stories are then offered publishing deals, including distribution on Inkitt's sister app, GALATEA. This data-driven approach helps Inkitt reduce risk by focusing on stories that have already garnered reader interest. The company generates revenue through publishing deals, sharing profits with authors, and potentially from premium content. Inkitt's goal is to connect readers with new literary talent while providing authors a platform to showcase their work.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$113.7MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Consumer Goods, EntertainmentIndustries

201-500Employees

Benefits

401(k) Retirement Plan

Health Insurance

Dental Insurance

Vision Insurance

Risks

Over-reliance on AI may lead to story homogenization, alienating readers.

Rapid TV series expansion could strain resources, affecting quality.

Privacy concerns over hyper-personalization may lead to regulatory scrutiny.

Differentiation

Inkitt uses AI-driven ReadRank to predict bestsellers, enhancing story selection.

GalateaTV transforms e-books into short-form TV series, expanding content reach.

Inkitt's Author Subscription Program offers authors 100% revenue, incentivizing content creation.

Upsides

Inkitt's $37M funding supports AI development for content optimization.

Interactive storytelling trends could enhance Inkitt's reader engagement.

Cross-media franchising offers potential for increased brand reach and revenue.

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