Senior Machine Learning Engineer - Remote in US at Knock
Atlanta, Georgia, United States
🇺🇸 (Posted Jun 5 2018)
About the company
Our homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make home buying and selling simple and certain. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.
- Remote work possible
We’re seeking a Senior Machine Learning Engineer to join us in building both our predictive models and our data science team. You will get to work with some of the most interesting data sets and have the freedom and responsibility to help shape our core products from initial data exploration to production models. You will design and implement the foundation of our predictive models and work closely with other team members to test the accuracy in local markets.
As a Senior Machine Learning Engineer you will:
Design and develop models to predict trends in residential real estate transactions
Develop, train, test, deploy and iterate models on large scale machine learning systems
Explore new data which can impact the model predictions
Assess models accuracy and the impact of data quality on the precision of the price predictions
Apply and integrate model predictions to our new and existing products
Communicate model outcome to the rest of the team
What we can offer you:
An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.
You will be working with a passionate, mission-driven team that is disrupting the status quo.
Competitive cash and equity compensation, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time and are open to where you live and work.
We have offices in New York, San Francisco, Atlanta, Charlotte and Raleigh with more on the way. In fact, we are proud to be a distributed company with employees in 13 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.
Skills & requirements
We’re looking for teammates who have:
Strong desire to work at a rapidly growing startup and make it a success
Passion for taking on complex real world datasets, understanding them and building useful applications
Commitment to rigorous analysis and model validation
Passion for Deep Learning and Machine Learning
Thorough knowledge of machine learning frameworks, particularly TensorFlow, good understanding of inner working of the frameworks
5+ years full lifecycle software engineering experience including: coding, testing, troubleshooting and deployment using general-purpose languages such as: Python, R, Scala, Go
2+ years experience with building production end-to-end machine learning models at scale using distributed platforms such as Hadoop or Spark
Advanced degree in computer science, statistics, mathematics, or similar fields
Instructions how to apply
see the website
[ job website
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