Machine Learning Engineer at Virtual Facility
🇺🇸 United States › New York › NYC (Posted Feb 2 2021)
About the company
Virtual Facility is a NYC-based SaaS building intelligence and workflow automation provider for large institutional facility managers to better understand their operations and how to improve through smarter data driven work.
Why? Operational management of large-scale facilities has been seriously neglected by technology and has forced an overreliance on paper, spreadsheets, consultants, and manual processes to run their facilities.
Virtual Facility’s SaaS offering leverages today’s latest technology stacks and machine learning to drive real-time engineering and operations management support to customers such as hospitals, universities, data centers, and other complex commercial facilities.
WHO FITS WELL HERE?
At Virtual Facility, we believe that in order to make a great company, we must discover and unleash the potential of passionate people, while keeping pointed at one North Star. We look for people who look for challenges, who have a desire to learn 24x7 and yearn to actually make a difference in a company’s trajectory and its customers. There is no one unicorn who will make or break our potential. We are a strategically woven set of experiences and thinkers who are changing an archaic industry together by motivating each other to grow as individuals and problem solvers to deliver a technology that enables A Better Way to Work.
Do they allow remote work?
Remote work is possible, see the description below for more information.
What We’re Looking For
The company seeks a Machine Learning Engineer who will support the machine learning initiatives required by the Virtual Facility platform. The candidate should be a self-starter, with significant prior experience working in a start-up environment, ideally for a SaaS company. The candidate will need to have hands-on experience building machine learning models to drive the core product forward, and will lead the charge in evaluating new technical ML/AI approaches from industry whitepapers or other research materials, create a plan to execute, develop the models, and perform a significant amount of development work to deliver these implementations. The ideal individual has served in a high-paced, complex, start-up environment long enough to have built something, seen its shortcomings, and improved it an iterative process. The candidate is comfortable operating with a certain amount of ambiguity and is excited to jump into the company’s technology to make recommendations and optimize performance of their core offerings and efficiency of the team.
AS A PART OF THE TEAM YOU WILL...
Collaborating with cross-functional team to come up with roadmap for Machine Learning driven features for the product
Oversee, set-up, and maintenance of ML Architecture
Applying data-mining, machine learning, and/or graph analysis techniques to a variety of problems to build production-quality solutions that balance complexity and performance.
Designing high-quality ML infrastructure and data pipelines, writing production code, and conducting code reviews
5+ years of Machine Learning experience
5+ years of relevant work in software development, server architecture and distributed systems
Strong programming skills in Python
Experience with Tensorflow, PyTorch, Keras
Database experience in SQL or MongoDB
End to end experience in ML workflow
Big Plus - GCP experience
Big Plus - working with IOT data
Excellent written and verbal communication skills, strong attention to detail, and good follow-through
Team player mentality (we’re peers, no egos please)
Generous standard holidays
Ground floor positions on VC backed high growth startup
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