Senior Machine Learning Engineer, VTS
2-3 days a week in office
Commercial real estate technology solution
Job no longer available
Commercial real estate technology solution
501-1000 employees
Job no longer available
2-3 days a week in office
501-1000 employees
Company mission
To unify owners, operators, brokers, and tenants to capitalize on opportunities revealed in every square foot of their properties.
Role
Who you are
- Have expertise in Machine Learning best practices (e.g. model evaluation and hyperparameter tuning, A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection)
- Have experience with technologies such as Sci-kit learn, Pytorch, Tensorflow, ML Flow, Airflow, data warehouses (e.g. Snowflake, Redshift, etc)
- Have professional experience building and deploying machine learning models to production using AWS (Sagemaker), GCP or Azure - for either batch or real time inference applications
- Expert programmer in one or more of the following Python (preferable), C++, or Java
- Excellent communicator with the ability to translate complex topics to non-technical stakeholders
- Creative problem solver able to tackle ambiguous problems with little guidance
What the job involves
- We are seeking a highly skilled and motivated engineer to join the Data Science and Analytics Engineering team within the Platform organization
- Building: Scalable, reliable and accurate machine learning systems that reduce the need for manual, human annotation and labeling
- Designing: Design state of the art machine learning / AI solutions from end-to-end, owning everything from feature engineering to model evaluation and monitoring
- Enhancing our processes, tools, and technology: Improve on our existing AI/ML capabilities for core product functionality (e.g. search). Enhance our ML platform capabilities, enabling the democratization of ML deployments across the company
- Collaboration: Collaborate with stakeholders across the business to find new opportunities
- Continuous improvement: Keep abreast of SOTA algorithms, translating the latest scientific papers into practical applications for the business
Our take
Commercial real estate is a difficult business sector to plan for, especially for the largest firms managing huge portfolios of prime office space. Marketing, leasing, data analytics and retention efforts have traditionally required an array of different solutions, often poorly integrated with one another (if at all), and decision-making is often stymied by inaccurate reporting and inflexible, clunky tools.
VTS, a leading player in the commercial real estate tech sector, seeks to change this by unifying every real estate asset and function in a single platform. Combining marketing, asset management and reporting functions into a single interface, it also delivers data insights for decision makers to inform their investment and asset strategies.
VTS's user base has grown to over 45,000 commercial real estate firms including Blackstone, Brookfield Properties, and LaSalle Investment Management, and about 60% of the US's top quality office space is managed through its platform. Having raised a significant amount of funding it is investing heavily in research and development, sourcing strategic acquisitions and hiring additional talent.
Steph
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Sep 2022
$125m
SERIES E
May 2019
$90m
SERIES D
Total funding: $304.6m
Company benefits
- Parental Leave: 16 weeks 100% paid parental leave for the primary caregiver and 6 weeks 100% paid leave for the secondary.
- Wellness: Dedicated monthly wellness events to promote physical and mental well-being.
- Exec coaching & mentorship: Extensive leadership coaching and mentorship offered through the year.
- Own a piece of VTS: Be an owner of the company you’re building with our equity packages.
- Never stop learning: VTS regularly hosts informal education sessions and provides an allowance for external courses.
Company HQ
Midtown South, New York, NY
Leadership
Nick Romito
(Co-Founder & CEO)Started his career in commercial real estate over a decade ago as a tenant rep and landlord broker at New York City’s Murray Hill Properties. Then went on to AM Properties before becoming the founder and CEO of Titan Advisors in 2009. Founded VTS in 2010.
Ryan Masiello
(Co-Founder)Started his career at Cushman & Wakefield, before getting recruited by JLL to help lead the firm’s business development efforts in New York, eventually becoming Senior Vice President.
Niall Smart
(Co-Founder & CTO)Previously co-founder and CTO at Hightower, and earlier was co-founder of Echodio, a Y-Combinator backed digital media startup that was acquired by RealNetworks in 2009.
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