Machine Learning Engineer, Havenly
$160-190k
More information about location
Interior design platform
Open for applications
Interior design platform
201-500 employees
Open for applications
$160-190k
More information about location
201-500 employees
Company mission
To help people create and refine their little corner of the world.
Role
Who you are
- Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS)
- Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn
- A strong understanding of Neural Networks and their applications
- Strong understanding of SQL and experience working with data warehouses such as Snowflake or BigQuery
- Experience with image processing in ML models
- Demonstrated ability to perform data engineering tasks, including data access, transformation, modeling, and storage, to enable machine learning pipelines
- Solid foundation in machine learning, statistics, and data analysis
- Innovative mindset with the ability to identify and pursue opportunities for the application of machine learning and data science methods
- Excellent communication skills, with the ability to work as a thought partner to various stakeholders across the business
- A Masters degree in statistics, computer science, economics, mathematics, or a related field, or 5+ years of related work experience
- This role is designed for a dynamic individual who thrives in a fast-paced environment and is passionate about making a tangible impact through the power of data science and machine learning
- The ideal candidate will be a thought partner to the business, possessing a deep understanding of both data science and machine learning techniques to identify opportunities, improve processes, and implement innovative solutions
What the job involves
- We are seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer
- This role is pivotal in leveraging our proprietary data to drive the development of data-driven tools and enhance user experiences across our portfolio of interior design and ecommerce brands
- Research and apply advanced data science and machine learning techniques to tackle challenges such as building recommendation systems, enhancing chat workflows, generating images, extracting features from unstructured data, predicting trends, and more
- As part of an agile team, work to identify opportunities to leverage our proprietary data to build data driven tools and experiences
- Develop, train, and deploy machine learning models, aimed at enhancing customer experiences and reinventing designer workflows
- Conduct exploratory analysis to identify opportunities for developing new features
- Engage in data engineering tasks, including accessing, transforming, modeling, and storing data, to facilitate machine learning training and feature development
Application process
- Step 1: The introductory interview
- We want to learn about your career, what you're looking for in your next role, and why you're excited about Havenly. This is also a great time for you to ask questions and get to know us
- Step 2: The manager interview
- Next, you’ll speak with the hiring manager for the role. We’ll do a deep dive into the specifics of the job and the organization as a whole. Make sure to bring all of your nitty-gritty questions
- Step 3: The experiential interview
- Next, you get the opportunity to show off your skills and see what it's like to work in this role. This could mean a take home project, a case interview, or a live working session with your manager
- Step 4: The team interview
- Now is the time to meet some of the people that you'll be working with. This could be members of your own team, cross-functional team members, direct reports, or members of our executive team. Each person you meet will share their perspective on the company, our culture, and the specific role
- Step 5: The offer
- Yay, we made it! We’re likely crossing our fingers and toes that you’re as excited about us as we are about you. We’ll do our best to make this process quick, informative, and positive. Throughout the offer process, we’ll be available to chat and answer questions
Our take
Founded in 2014, Havenly has grown to be a major startup in the online interior design space. Its platform connects customers with professional interior designers and product purchase recommendations and, along with the sector at large, has seen a healthy upswing in recent years.
Though rivals like Modsy and Roomstyler make for tough competition, Havenly's professional consultations put them ahead of simple visualization services, and are attractive to customers looking for an affordable version of a previously hard-to-access personal service. Its launch of private label brand Cove Goods to the platform was also a smart one, as the marketing of featured pieces acts as an additional revenue stream.
The company's road has not been without its bumps - for example, it suffered a major data breach back in 2020. Despite this, its two-pronged approach to the interior design business could see Havenly win big over the coming years. Most lately, it has acquired direct-to-consumer home furnishings brands The Inside and Interior Define, as well as venturing into IRL services with the launch of “Havenly At Home”.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-4% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$28m
SERIES C
Oct 2019
$32m
SERIES C
Total funding: $85.9m
Company values
- Exhibit gumption - Meet every challenge with spirit and energy. Believe the impossible is possible. Draw the f*#$ing owl
- Overperform - Work hard. Move fast. Be scrappy
- Stay playful - No jerks, no whiners. Have fun and laugh. Maintain perspective
- Act like an owner - This is your company. Be accountable. Speak up. Act in the best interest of Havenly
Company HQ
River North Art District, Denver, CO
Articles
Leadership
Lee Mayer
(CEO)A Columbia and Harvard Business School graduate who started out in Strategic Development at Canon. They also worked at Bain & Company from 2009 to 2011.
Emily Motayed Lancaster
(Co-Founder)They have an MBA from the Wharton School and were Chief of Staff at Bread. They also co-founded Nurture&.
Salary benchmarks
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