Senior Machine Learning Engineer

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Rex is an ecosystem that incubates, launches and operates tech startups across a number of sectors at the intersection of technology and real estate: Services, FinTech, InsureTech, Data Services, and more. We are creating the Future of Real Estate by building and launching multiple tech companies committed to serving and empowering people everywhere.

We are launching synergistic tech startups that will scale via real estate into numerous industries creating a flywheel effect where each launch strengthens the value of the network, increases the talent density, accelerates cross-pollination of ideas, and creates mutually beneficial corporate and technical infrastructure.

Review our initiatives page for more details on the current companies and our culture page to understand who we are. 

Job Role Overview

Rex is looking for a talented Machine Learning Engineer to join the Data and Machine Learning team. This is a high impact role that will support all startups each solving a unique problem within the residential real-estate industry. This role will report to VP of Data & Machine Learning and work alongside a talented team of Machine Learning and Data Engineers.

What you’ll do:

  • Design, train and deploy machine learning and/or natural language understanding models
  • Work across Rex companies to implement new features related to machine learning and engineer real-time data pipelines to incorporate them into the company’s models
  • Apply research and existing academic work to real-life problems
  • Write production quality code, scale solutions for high-throughput and low-latency requirements
  • Implement model observability and system performance
  • Collaborate with product, design and user research partners as well as the data engineers in the Rex Ecosystem companies to design and architect innovative machine learning solutions to improve the customer experience


What you offer:

  • 3+ years of experience as machine learning engineer or applied machine learning scientist
  • Experience with machine learning pipelines and concepts such as large-scale training, batch feature extraction, real-time serving platforms
  • Experience with common ML/NLP libraries experience with BERT,SpaCy, NLTK, PyTorch, TensorFlow, Keras
  • Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, text analytics)
  • Experience working with datasets that reflect real life problems such as noisy, highly imbalanced datasets
  • Passion for working and learning in a fast-growing company

Before you apply, review these resources to better understand our culture and mission:

  • Rex ecosystem initiatives
  • Peter Rex writing in WSJ about moving Rex from Seattle to Austin
  • Peter Rex on Fox Business
  • Peter Rex on Bloomberg Radio

What we offer:

  • Competitive salary and early-in equity awards
  • Competitive and comprehensive medical, dental, and vision plans
  • Peace of mind through company-paid short-term disability, long-term disability and life insurance
  • 401(K) with employer match
  • Unlimited (discretionary) PTO in addition to Holidays and your birthday off
  • Monthly gym membership stipend
  • Health Savings Account with employer contribution
  • Dependent Flexible Spending Account
  • Mental health telecounseling options
  • We are committed to serving others with a focus on faith, family, and freedom
  • Ability to work in person on hybrid schedule in Austin, Texas (or willing to relocate)

From the top-down, we are committed to investing in the development of all team members in both a professional and personal setting. We host monthly company socials where employees and family members get together to build our community. Regular performance evaluations are intended to provide a feedback loop, providing opportunities for consistent growth on both ends.

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Location

We are located near Pennybacker Bridge on 360 overlooking the Colorado River and Austin Country Club. Our office has great views of the Westlake area with a decent number of restaurants within a 10 minute drive.

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