Principal Applied Machine Learning Scientist

San Francisco Bay Area
We look forward to meeting you. Please send resume to: careers@intellimize.com

About Intellimize

Intellimize helps marketers drive conversions and revenue growth by personalizing websites to deliver the right experience to each visitor on any device.  We automate this using machine learning. Leading companies rely on Intellimize to deliver more revenue, faster, and with less work than traditional A/B testing or rules based personalization.

The company was founded in 2016 by an experienced ad tech marketer and two experienced machine learning leaders who had previously worked at Yahoo, Twitter, and BrightRoll.  Intellimize is headquartered in San Mateo, CA, and backed by leading early stage investors including Amplify Partners, Homebrew, Hone Capital, Precursor Ventures, and Pear Ventures.

A few more things about us

  • We are entrepreneurs with deep experience in paid digital media and personalization
  • We have experience building massive-scale (>1B users) personalized recommendation systems at Yahoo
  • We move fast. We are data-driven. We get things done
  • We believe in the philosophy of “customers as true north”
  • We believe in the importance of work/life balance to do your very best work

What you’ll do

  • You will partner with the founders and leverage your broad and deep expertise to drive the ML vision for our products
  • You will apply the latest research and state-of-the-art ML methods to build highly scalable personalization and optimization systems across different verticals (ecommerce, B2B, finance)
  • You will work in a cross-functional team to produce end-to-end ML solutions on data pipelines
  • You will prototype new approaches and develop new methods to push the ML-based product features forward  
  • You will stay current on technology trends and developments in the relevant ML areas

About you

  • You have a PhD in CS, Statistics or a quantitative field with specialization in ML
  • You have at least 5 years of work experience in domains such as computational advertising, web search, recommendations, and personalization  
  • You know the current state-of-the-art and have practical experience in several of the following areas: supervised learning, reinforcement learning, deep learning, bayesian optimization, multi-armed bandit, recommendation, content understanding, online learning, and causal inference
  • You can perform comprehensive literature reviews to provide feedback on state-of-the-art solutions and how they can be applied to solve real world problems
  • You have publications in top AI/ML conferences  
  • You can bridge the gap between research and real world problems, and have great judgement and intuition on which approach will work well in practice
  • You excel in communicating complex ML techniques and scientific concepts in an easy-to-understand way
  • You have proven track record delivering and operating ML system in production.  You have an appreciation of messy real-world data and how to bring ML approach to life on large-scale distributed systems
  • You are proficient in either Java or Python, and can write production level code if needed
  • You thrive in a fast-paced environment.  You are comfortable getting started with minimal information and can bring clarity via rapid iterations
  • You are a team player and you thrive in a collaborative environment

Why us?

  • You get to work on the leading edge of ML and help drive the product vision forward 
  • Small team = nimble + big impact + no limits to your growth opportunities
  • You get to work with great people and help shape the DNA of the company
  • And yes, you get competitive salary, equity, and benefits (health, dental, vision, 401k, commuter benefits)