Staff Machine Learning Engineer

Realtor.com
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Job Description

We seek a highly seasoned Lead Machine Learning Engineer to join our team and help take it to the next level. As a key member of the team, you will be responsible for the development of innovative concepts, research, predictive modeling, and machine learning algorithms. You will serve as a mentor for the junior members on the team and provide guidance on their individual projects in addition to serving as an expert for any algorithms that you develop or help develop.

What you’ll do:

  • Understand the business and data models to effectively query data
  • Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
  • Perform exploratory analysis on Realtor.com’s wealth of data.
  • Develop predictive, explanatory models and machine learning algorithms.
  • Create automated learning systems that gracefully scale to increasing complexity and drive revenue growth, customer retention and support strategic decision making.
  • Mentor a team of machine learning engineers on data exploration, machine learning and developing data-oriented products.
  • Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
  • Drive a project forward given just a problem and mission statement.

How we work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

What you’ll bring:

  • PhD/MS in computer science, statistics, mathematics, operations research or related fields.
  • 4+ years of relevant experience in data science, machine learning or applied statistics.
  • Experience with Machine Learning, NLP, and data mining tools and underlying algorithms.
  • Experienced in Python or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
  • Working experience with relational databases (SQL) and large scale distributed systems.
  • Familiarity with deep learning tools and packages like Jax, TensorFlow, pyTorch etc
  • Experience with experiment design and A/B and multivariate tests.
  • Strong creative thinking and problem solving skills.
  • Excellent oral and written communication and presentation skills.

How we Reward you:

Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Company Info.

Realtor.com

Realtor.com is a real estate listings website operated by the News Corp subsidiary Move, Inc. and based in Santa Clara, California. It is the second most visited real estate listings website in the United States as of 2021, with over 100 million monthly active users.

  • Industry
    Real Estate
  • No. of Employees
    1,800
  • Location
    Santa Clara, CA, USA
  • Website
  • Jobs Posted

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