ML Engineer (Entry Level)

Grindr LLC8 months ago
San Francisco, California, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

At Grindr, our Machine Learning Engineer plays a pivotal role in building high quality ML datasets at scale, powering AI-centric features. Reporting directly to the Director of AI, you will design and implement an end-to-end ML pipeline – from data exploration and transformation to feature engineering, model development, experimentation, and deployment.

Key Responsibilities

  • Dive into our dataset and design, implement, and scale data pre/post processing pipelines for ML models
  • Work on applied ML solutions in data mining, cleaning, normalizing, and modeling
  • Be self-motivated in seeking solutions when the correct path isn’t always known
  • Collaborate with engineers to conceptualize, plan, and implement data engineering initiatives with various stakeholders
  • Research and evaluate new technologies in the big data space to drive continuous improvement
  • Be a fast learner and be courageous enough to step outside your comfort zone
  • Support the ML team with data analysis, data engineering, ML model development, and deployment
  • Collaborate with multi-functional teams to optimize the performance of large data applications

Required Qualifications

  • Master’s degree in Computer Science, Mathematics, Economics, Physics, or a related field
  • Experience in statistical analysis and visualization using Pandas or R
  • Excellent coding skills in Python, SQL, and Pandas/R
  • Strong understanding of Probability & Statistics
  • Good foundation in linear algebra
  • Familiarity with classical machine learning concepts

Preferred Qualifications

  • Understanding of Deep Learning concepts
  • Experience with Deep Learning frameworks (e.g., Pytorch, Tensorflow, Keras)
  • Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark)
  • Experience with public cloud environments (AWS, GCP, or Azure)
  • Experience with distributed systems and microservices
  • Experience with Kubernetes and building Docker images
  • Strong understanding of applied machine learning topics

Benefits & Perks

  • Mission and Impact: Impact the lives of millions of LGBTQ+ people around the world
  • Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for dependents
  • Retirement Savings: Generous 401K plan with 6% match and immediate vesting in the U.S.
  • Compensation: Industry-competitive compensation with eligibility for company bonus and equity programs
  • Queer-Inclusive Benefits: Gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more
  • Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting; onsite breakfast/lunch; and yearly travel & leisure stipend
  • Base Pay Range: $130,000—$220,000 USD

Required Skills

Data Engineering
Pandas
Feature Engineering
Statistical Analysis
Python
SQL
Machine Learning