Machine Learning Engineer, Constructor.io
Attribute Enrichment
$90-110k
+ Stock options
eCommerce product discovery solutions
Open for applications
eCommerce product discovery solutions
201-500 employees
Open for applications
$90-110k
+ Stock options
201-500 employees
Company mission
To help eCommerce and media site owners give their customers a better way to find products more quickly, more easily, and more intuitively.
Role
Who you are
- You are excited about using ML to build a performant & practical ML system running and updating on a daily basis
- You are proficient in NLP on high level (especially transformer-based approaches), has practical experience with modern architectures. Experience working with CV is a big plus
- You excel at Python, at least one ML/DL framework, have proficiency with any variant of SQL, and feel comfortable with the big data stack like Spark, Presto/Athena & Hive
- You have delivered production ML systems and conducted A/B tests to validate their value. Experience leading strategic ML product initiatives from ideation to production within a cross-functional team is a big plus
- You are an excellent communicator with the ability to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
- 2+ years of professional experience in applied machine learning
- Excellent skills delivering & communicating business value
- Proficiency with Python, SQL and the big data stack for end-to-end ML product development
- Comprehensive knowledge of classical machine learning, including ranking & classification
- Experience with deep learning, including neural networks and representation learning
- Skills designing, conducting & analyzing A/B tests
- Strong knowledge of data structures, algorithms and their trade-offs
- A proven track record of software architecture & design skills
- Experience with a public cloud like AWS, Azure or GCP
What the job involves
- The Attribute Enrichment team, within Data Science and Engineering, plays a central role in implementing algorithms and training ML models
- These efforts are aimed at enhancing customers' lives and achieving key performance metrics by enriching product attributes
- We focus on bringing value to customers in the way they care the most about
- Attribute Enrichment team is new one in Constructor
- The team consists of ML engineers owning & collaborating on multiple ML projects
- As a member of the Attribute Enrichment team, you will use world-class analytical, engineering and machine learning techniques on big data to shape the evolution and scale our ML algorithms used in Attribute Enrichment
- Build and deploy robust ML systems of attribute enrichment for products with the usage of state-of-the-art ML techniques
- Collaborate with technical and non-technical business partners to develop analytical dashboards that describe the impact of Attribute Enrichment algorithms to stakeholders
- Improve business KPIs by validating hypotheses with new ML approaches & techniques for attribute enrichment
Our take
Online shopping has vastly increased the reach of stores and put a wealth of products at consumer’s fingertips. However, tedious searches are one cause for online carts to be abandoned before purchase. Constructor.io, founded in 2015, builds technology to counter the search element behind these unfinished purchases, with a powerful product discovery platform for eCommerce businesses.
eCommerce searching is generally poor, lagging behind the power of large search engines, in part due to low system intelligence. Constructor.io’s search employs AI, machine learning and natural language processing to return relevant results for search and browse functions, as well as for recommendations and autosuggest. A host of other novel search technologies have launched recently, but Constructor remains the leader in the space, with significant backing and high levels of growth.
Constructor.io already serves big-name customers including Sephora and Walmart’s Bonobos. It has raised impressive funding that it intends to use to expand operations and business reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jun 2024
$25m
SERIES B
Sep 2021
$55m
SERIES A
Total funding: $86.1m
Company benefits
- Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year
- Stock options for everyone
- Company sponsored US health coverage (100% paid for employee)
- Fully remote team - choose where you live
- Work from home stipend! We want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
Company values
- We get to the right answer empathetically: We strive to get to the right answer, regardless of who proposed it. We make it easy for others to be able to accept our idea without losing face or hurting ego.
- We’re passionate in owning our work and making it have an impact: We care that what we create gets seen by the world. We ask for help, follow-up, hustle until it’s in front of users. We take initiative, even when we think someone else should do it. If we find something we don’t like, we make it better.
- We enjoy what we do: We love the problems we get to solve. Most people aren’t lucky enough to work on something this interesting. We create an environment that lets co-workers enjoy their work as much as we do.
Company HQ
Financial District, San Francisco, CA
Leadership
Eli Finkelshteyn
(CEO)Experienced Data Scientist and Engineer. Ran Eli Does Data, a data science consulting firm. Has worked for Shutterstock and Tumblr.
Dan McCormick
(CISO)Former Consultant at Content.Market. Worked at Shutterstock for over 8 years including as an Adviser in the CTO's Office. Previously founded PostPin, Trademark Safeguard and Particular Personals.
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