Principal ML Engineer/Applied Scientist
Confirmed live in the last 24 hours
Grindr

201-500 employees

Global location-based social networking app for LGBTQ+ community
Company Overview
Grindr, the world's largest social networking app for the LGBTQ community, stands out for its commitment to connecting queer individuals globally through its location-based technology, reaching millions of users in nearly every country. The company's culture fosters a safe and inclusive environment, reflecting the diverse community it serves, while its industry leadership is demonstrated by its continuous expansion into new platforms and content. Furthermore, Grindr's competitive advantage lies in its accessibility, with services available on any device without the need for download, exclusively for XTRA and Unlimited subscribers.

Company Stage

N/A

Total Funding

$643M

Founded

2009

Headquarters

West Hollywood, California

Growth & Insights
Headcount

6 month growth

-14%

1 year growth

-19%

2 year growth

8%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
R
Git
Data Structures & Algorithms
Keras
Pytorch
Apache Spark
Java
Pandas
Apache Hive
Natural Language Processing (NLP)
Hadoop
Data Analysis
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • BS in Computer science/Math or related field
  • Mastery of at least one systems language (Python, Java, C++) and one DL framework (Pytorch, Tensorflow, Keras) and one data analysis library (Pandas, R)
  • Extensive experience building, deploying and maintaining end-to-end recommendation systems
  • Computer Science fundamentals in data structures, algorithm design and complexity analysis
  • 5+ years working experience in engineering or R&D teams that build large-scale production-level ML-driven projects
  • Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment and expertise with Git version control
Responsibilities
  • Lead cutting-edge algorithm development in machine learning and collaborate with other engineering teams to adopt the innovations into Grindr problems
  • Collect, analyze, and synthesize findings from data and build intelligent data-driven model
  • Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
  • Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr
  • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search
Desired Qualifications
  • MS or PHD degree in Computer Science or Machine Learning
  • Experience working on recommender systems and matching algorithms in dating industry
  • Expertise in large language models or demonstrated ability to develop this expertise quickly
  • Exposure to architectural patterns of large scale software applications
  • Experience in shipping products to millions of customers or have started a new line of product
  • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
  • Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science