Senior ML Architect: Scalable Recommendations & LLMs

Aimlroles; Palo Alto (CA); Hybrid; USD 220,000 - 300,000; Full time

Benefits offered by this job

Health coverage

Fertility support

401(k) with match

Equity for employees

Time off policy

Job summary

Grindr is accelerating its AI-native platform with a senior ML leader who will architect and oversee large-scale recommendation systems powering millions of interactions. You will leverage cutting-edge LLMs to process vast conversation data and improve user connections, while shaping production-grade ML solutions end-to-end.

You’ll provide technical leadership across engineering, data science, and product teams, evaluating emerging AI tools to keep Grindr at the forefront of AI-powered

Qualifications

• 10+ years of experience building ML systems with 0-to-1 development and platform-scale architecture.
• Experience with recommendation systems or similar is a plus.
• Fluency in Python and popular ML frameworks is required.
• Scrappy mindset with ability to tackle messy challenges and deliver real results.

Responsibilities

• Architect and oversee large-scale recommendation systems serving millions of users.
• Leverage latest LLMs to process vast conversation data and enhance user connections.
• Prototype, iterate, and ship production-ready ML solutions addressing real problems.
• Provide technical leadership across engineering, data science, and product teams.

Skills

Python

ML Frameworks

Leadership

Cross-functional collaboration

Problem solving

Tools

Snowflake

Airflow

Kubernetes

Docker

Helm

Spark

PySpark

PyTorch

TensorFlow

Keras

AWS

GCP

Databricks

Job description

Grindr is accelerating its AI-native platform with a senior ML leader who will architect and oversee large-scale recommendation systems powering millions of interactions. You will leverage cutting-edge LLMs to process vast conversation data and improve user connections, while shaping production-grade ML solutions end-to-end.

You’ll provide technical leadership across engineering, data science, and product teams, evaluating emerging AI tools to keep Grindr at the forefront of AI-powered