Software Engineer — ML Platform

Location: Remote / Hybrid

We’re looking for a Software Engineer to build and scale the systems powering our advertising and data workflows.

We work with large-scale advertising and attribution datasets, building systems that connect audience intelligence with campaign execution and measurement.

This role sits across backend engineering, data engineering, and ML/data infrastructure. You’ll work across APIs, event pipelines, data infrastructure, partner integrations, and internal tooling supporting campaign workflows and ML/data systems.

The role is best suited for engineers who enjoy operating across systems rather than staying within a single specialization.

What You’ll Work On

Backend & Platform Engineering

• Build and maintain backend services, APIs, and internal tooling
• Design asynchronous workflows and distributed processing systems
• Improve observability, reliability, and deployment workflows
• Debug production issues across infrastructure, application, and data layers

Data Engineering

• Build and maintain scalable ingestion and processing pipelines
• Process high-volume event and attribution datasets across operational systems
• Design reliable data workflows and maintainable data models

ML Infrastructure & Experimentation

• Support ML systems with reliable training and inference datasets
• Build pipelines supporting experimentation and feature generation
• Collaborate with ML engineers on production integrations and evaluation workflows

Partner Data & Integrations

• Integrate external APIs, partner platforms, and operational systems
• Build resilient ingestion systems handling retries, quotas, pagination, and evolving schemas
• Support privacy-conscious attribution and partner data workflows

Tech Stack

Core Technologies

• Python
• SQL
• PostgreSQL
• Snowflake

Infrastructure & Platform

• GCP or AWS
• CI/CD pipelines
• Infrastructure as code

Nice to Have

• dbt
• FastAPI or similar backend frameworks
• Kafka, Pub/Sub, or streaming systems
• AdTech, MarTech, or travel-tech systems
• ML data or experimentation systems

What We’re Looking For

• 3–5 years of experience in software engineering, data engineering, or platform engineering
• Strong programming skills, especially in Python
• Solid SQL and data modeling fundamentals
• Experience building production systems in cloud environments
• Understanding of distributed systems, asynchronous workflows, and operational reliability
• Strong ownership mindset and ability to drive work independently
• Strong engineering fundamentals and ability to quickly learn unfamiliar systems, tools, and domains

Nice-to-Have Experience

• High-volume event or analytics systems
• Advertising, attribution, or customer data platforms
• ML data pipelines or experimentation systems
• API-heavy integration platforms
• Comfortable using AI-assisted engineering tools such as Claude Code, Gemini CLI, OpenAI Codex, GitHub Copilot, or similar developer agents as part of day-to-day development workflows

Why Join

• Work on challenging distributed systems and large-scale data workflows
• Build modern platform and data infrastructure with real business impact
• High ownership and opportunity to grow across multiple engineering domains