Machine Learning Engineer - Join Intellimize, B2B SaaS Company Skip to content

Current Openings

Machine Learning Engineer

San Mateo, CA

We look forward to meeting you.
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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

About you

  • You have a degree in Computer Science, Math, Physics or a highly quantitative field
  • You have at least 3 years of experience working on a machine learning or analytics data pipeline system in a production setting
  • You have experience building machine learning training pipeline and model serving system in production
  • You care deeply about the end-to-end data quality in a large distributed system
  • You are passionate about applying machine learning techniques to solve real world problems
  • You love digging into machine learning research papers to get inspiration
  • You are comfortable with Java, or are willing to pick up Java in a short time
  • You thrive in fast-paced environment.  You like short dev cycles. You adapt. You are comfortable getting started with minimal information and can bring clarity via rapid iterations
  • You are a team player. You communicate well. Your attention to detail is unparalleled. You thrive in a collaborative environment
  • You believe in “customers as true north”.  You can put on your product hat when you solve technical problems

What you’ll do

  • You will design and implement machine learning training pipelines and data pipelines for analytics
  • You will build and iterate on a variety of machine learning models in collaboration with scientists and product owners
  • You will build and continuously improve model serving with ultra-low latency and frequent updates
  • You will investigate and implement the best way to do feature engineering, model tuning and evaluation to improve model quality
  • You will build and enhance analytics pipelines and databases to support a wide range of analytics queries
  • You will contribute to enhancing and improving general backend infrastructure

Why us?

  • You get to work on the leading edge of machine learning and own a large chunk of the end-to-end pipeline (versus a tiny part of a large system)
  • You get to learn and grow your machine learning expertise in a large distributed system. Small team = 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)

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