Data Engineer

Confirmed live in the last 24 hours

Locations

Toronto, ON, Canada • San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Analysis

Data Science

Data Structures & Algorithms

Jupyter

Git

NumPy

Python

Requirements

3+ years of work experience in backend engineering (python preferred)
Experience implementing HTTP APIs: networking, protocols, specifications
Familiarity with the data science toolkit: python, numpy, scipy, jupyter
Basic knowledge of data processing: arrays, vectorization, data types
Basic knowledge of infrastructure scaling: concurrency, replication, caching, sharding
Basic knowledge of high availability: zero downtime migrations, robustness
Familiarity with test-driven development, git, CI/CD
Specific interest in recommendation engines and machine learning

Responsibilities

Contribute to our data infrastructure, build new features, maintain and scale existing data processing systems
Collaborate with machine learning scientists and infrastructure engineers to deploy state-of-the-art machine learning algorithms in production solving business problems
Work with a variety of data processing principles: high-traffic real-time RESTful APIs, asynchronous background tasks, job scheduling workflow and more
Improve our “Data Ops” environments by implementing unit tests, integration tests, CI/CD, and internal tools for machine learning and data pipelines

Crossing Minds is the smartest platform powering perceptive recommendations that drive online discovery and engagement. Founded and led by world-renowned AI pioneers and powered by the latest advances in deep learning, Crossing Minds instantly delivers precise, session-based recommendations that don’t infringe on or jeopardize customer privacy.

At Crossing Minds, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving technical stack. We’re seeking a data engineer who is ready to work on the most advanced recommendation platform in the world and build real-time data architectures, enabling true personalization for every customer-facing business.

What you will do:

Contribute to our data infrastructure, build new features, maintain and scale existing data processing systems
Collaborate with machine learning scientists and infrastructure engineers to deploy state-of-the-art machine learning algorithms in production solving business problems
Work with a variety of data processing principles: high-traffic real-time RESTful APIs, asynchronous background tasks, job scheduling workflow and more
Improve our “Data Ops” environments by implementing unit tests, integration tests, CI/CD, and internal tools for machine learning and data pipelines

What you need to have:

3+ years of work experience in backend engineering (python preferred)
Experience implementing HTTP APIs: networking, protocols, specifications
Familiarity with the data science toolkit: python, numpy, scipy, jupyter
Basic knowledge of data processing: arrays, vectorization, data types
Basic knowledge of infrastructure scaling: concurrency, replication, caching, sharding
Basic knowledge of high availability: zero downtime migrations, robustness
Familiarity with test-driven development, git, CI/CD
Specific interest in recommendation engines and machine learning

US Employee Benefits:

75% coverage on Medical, Dental, and Vision insurance. As well as 100% coverage on Basic Life!

Employer-matched 401(k)

20-day PTO

9-days of paid holiday

Company shutdown from 12/24 - 01/01

Professional education opportunities

Voluntary Travel Policy

Visa support, if needed

Canadian Employee Benefits:

HSA $2500/ annually

20-day PTO

7-days of paid holiday

Company shutdown from 12/24 - 01/01

Professional education opportunities

Voluntary Travel Policy

Visa support, if needed

Location Preference: Toronto, San Francisco, Paris or remote

Expected Salary Range: $140,000 - $190,000

These pay ranges are intended to cover roles across the San Francisco Bay Area. An individual’s base pay depends on various factors, including geographical location and a review of the applicant’s experience, knowledge, skills, and abilities. At Crossing Minds, specific roles are eligible for benefits and additional rewards, including annual bonuses and stock options. These rewards are allocated based on individual impact in the role

The Crossing Minds team prides itself on our team culture and values. Our differences are valued, and our authenticity is celebrated. We are committed to nurturing an environment of mutual respect where equal employment opportunities are available to all.

11-50 employees

Website

Perceptive recommendation & discovery platform

Company Overview

Crossing Minds' mission is to help businesses create magic moments for their customers by proactively surfacing the items that are most relevant to them. The company makes AI technology that fuels the smartest recommender system for eCommerce, marketplaces, streaming services, and more.

Benefits

Medical, dental, & vision insurance
Employer-matched 401(k)
20-day PTO
9-days of paid holiday
Company shutdown from 12/24 - 01/01
Professional education opportunities
Voluntary Travel Policy
Visa support, if needed