Back-End Software Engineer

Posted on 4/4/2023

INACTIVE

5,001-10,000 employees

Visual discovery engine for finding ideas

Company Overview

Pinterest stands out as a unique platform that harnesses the power of visual discovery, offering an extensive dataset of over 200 billion ideas, making it a treasure trove for those seeking inspiration in various aspects of life. The company's culture is rooted in creativity and inclusivity, fostering an environment where over 430 million global users can explore, plan, and actualize their dreams. With its unique blend of technology and creativity, Pinterest has positioned itself as a leader in the social media industry, providing a distinct and personalized user experience that sets it apart from competitors.

Data & Analytics

AI & Machine Learning

Consumer Goods

Company Stage

N/A

Total Funding

$2.9B

Founded

2010

Headquarters

San Francisco, California

Growth & Insights

Headcount

6 month growth

↑ 12%

1 year growth

↑ 20%

2 year growth

↑ 46%

Locations

Toronto, ON, Canada

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Python

Apache Flink

Apache Spark

Apache Kafka

Java

Scala

Natural Language Processing (NLP)

Hadoop

C/C++

CategoriesNew

AI & Machine Learning

Software Engineering

Requirements

3+ years of industry experience
Expertise in at least one of the generic programming languages (Java/Scala/C++/Python/)
Expertise in building and debugging scalable backend services and APIs
Hands-on experience with large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale)
Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) and scalable real-time systems that process stream data
Experience working with machine learning model lifecycle
Basic knowledge of machine learning (or willingness to learn!), e.g., feature extraction, training, and some familiarity with machine learning domains (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing)

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

About Pinterest:

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

What will this person do?

Architect and develop systems, data pipelines, tools, and processes for computing and delivering signals capturing quality aspects of content created on Pinterest.
Collaborate with Machine Learning engineers during conceptualization and productionization of signal .
Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery.
Collaborate with signal consuming teams to facilitate signal adoption.

What we’re looking for:

3+ years of industry experience.
Expertise in at least one of the generic programming languages (Java/Scala/C++/Python/).
Expertise in building and debugging scalable backend services and APIs.
Hands-on experience with large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale).
Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) and scalable real-time systems that process stream data.

What skills are ideal but not required?

Experience working with machine learning model lifecycle.
Basic knowledge of machine learning (or willingness to learn!), e.g., feature extraction, training, and some familiarity with machine learning domains (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing).

This position is not eligible for relocation assistance.

#LI-HYBRID #LI-MF1

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.