Backend Engineer, Constructor.io
Ranking Team
$90-110k
+ Stock options + work from home bonus
eCommerce product discovery solutions
Open for applications
eCommerce product discovery solutions
201-500 employees
Open for applications
$90-110k
+ Stock options + work from home bonus
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
- Experience in designing, developing & maintaining high-load distributed real-time services (in cloud)
- Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources
- Experience with MLOps is a huge plus (delivering, loading, and serving ML models and related infrastructure)
- Hands-on experience with setting up and improving CI/CD pipelines
- Proficiency with Python and, as a plus, compiled languages like C, Rust, or Go
- Experience in server-side coding for web services, and a good understanding of API design principles
- Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty
- Familiarity with Service-Oriented Architecture, knowledge of communication protocols like Protobuf & familiarity with networking principles
- Experience with NoSQL and relational databases, distributed systems, and caching solutions
- Experience with any of the major public cloud formation: AWS (ideally), Azure, GCP
- Experience collaborating in cross-functional teams
- Excellent English communication skills
- Enjoy helping others around you grow as developers and be successful
- Pick up new ideas and technologies quickly, love learning and talking to others about them
- Love to experiment and use data and customer feedback to drive decision-making
What the job involves
- The Ranking team, within the Machine Learning chapter, plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking algorithms with powerful capabilities that bring value to customers in the way they care the most about
- As a member of the Ranking team, you will be surrounded by and encouraged to use world-class analytical, engineering and machine-learning techniques on big data to shape the evolution and scale of our ranking algorithms
- The team owns all stages of products ranking for Search, Browse, and Autocomplete experiences, including base ranking, second-stage ranking, and ranking explanation
- One of the main services the Ranking team owns is the ML Ranking Service which is a high-load distributed REST service deployed in the cloud and developed in Python programming language. The service extensively uses in-memory and NoSQL DBs (for signals and model metadata storage)
- We support service deployment and stability. We have monitoring set up with Prometheus, PagerDuty, Sentry, and custom internal APIs with FastAPI)
- A primary focus of this job is to design, deliver & maintain highload real-time web services in close collaboration with other great engineers from the Ranking team
- Build, deploy, and support robust high-load machine learning-based real-time systems for search and browse experiences
- Collaborate with technical and non-technical business partners to develop and update ranking functionalities
- Optimize current ranking service performance to process requests faster
- Optimize signals delivery and retrieval (aka Feature Store) for machine learning model inference
- Communicate with stakeholders within and outside the team
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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