Full-Time

Staff ML Engineer

Confirmed live in the last 24 hours

Grindr

Grindr

201-500 employees

Location-based social networking for LGBTQ


Senior

San Francisco, CA, USA

Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Tensorflow
R
Git
Keras
Pytorch
Apache Spark
SQL
Java
Docker
AWS
Pandas
Natural Language Processing (NLP)
Data Analysis
Google Cloud Platform
Requirements
  • Bachelors in Computer Science, Mathematics, Physics, or related fields
  • 5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL model
  • Experience in statistical analysis & visualization on datasets using SQL, Pandas or R
  • Demonstrated prior experience in creating data cleaning pipelines for text data sets NLP/ large language models
  • Ability to produce well-engineered software with appropriate automated test suites, technical documentation, and operational strategy
  • Excellent coding skills in Python, Java, bash, SQL, and expertise with Git version control
  • Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark)
  • Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras
  • Experience with any public cloud environment - AWS, GCP or Azure
Responsibilities
  • Feature engineering at scale
  • Feature Store Implementation
  • Model Training and Evaluation Support
  • Exploratory/statistical data analysis (EDA)

At Grindr, a leading location-based social networking app for the LGBTQ community, employees engage in meaningful work that harnesses cutting-edge technology to connect millions globally. The company fosters an inclusive culture that values individual voices and leverages unique location-based technologies, making it a pioneer in facilitating dynamic connections within the LGBTQ community. This commitment to both social impact and innovative tech solutions makes it an exceptional workplace for individuals passionate about technology and community-building.

Company Stage

IPO

Total Funding

$643M

Headquarters

West Hollywood, California

Founded

2009

Growth & Insights
Headcount

6 month growth

9%

1 year growth

-15%

2 year growth

9%