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\nWe’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.\n\n\nAs a Senior Machine Learning Engineer you will:\n\n\n* Design and develop models to predict trends in residential real estate transactions\n\n* Develop, train, test, deploy and iterate models on large scale machine learning systems\n\n* Explore new data which can impact the model predictions\n\n* Assess models accuracy and the impact of data quality on the precision of the price predictions\n\n* Apply and integrate model predictions to our new and existing products\n\n* Communicate model outcome to the rest of the team\n\n\n\n\nWe’re looking for teammates who have:\n\n\n* Strong desire to work at a rapidly growing startup and make it a success\n\n* Passion for taking on complex real world datasets, understanding them and building useful applications\n\n* Commitment to rigorous analysis and model validation\n\n* Passion for Deep Learning and Machine Learning\n\n* Thorough knowledge of machine learning frameworks, particularly TensorFlow, good understanding of inner working of the frameworks\n\n* 5+ years full lifecycle software engineering experience including: coding, testing, troubleshooting and deployment using general-purpose languages such as: Python, R, Scala, Go\n\n* 2+ years experience with building production end-to-end machine learning models at scale using distributed platforms such as Hadoop or Spark\n\n* Advanced degree in computer science, statistics, mathematics, or similar fields\n\n\n\n\nWhat we can offer you:\n\n\n* 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.\n\n* You will be working with a passionate, mission-driven team that is disrupting the status quo.\n\n* 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.\n\n\n\n\nWe have offices in New York, San Francisco and Atlanta with more on the way. We are a distributed company with employees in 13 different states, so we are open to any US location for this role. \n\nKnock is an Equal Opportunity Employer. Individuals seeking employment at Knock are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.\n\nPlease no recruitment firm or agency inquiries, you will not receive a reply from us. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n
$70,000 — $130,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
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