Senior Machine Learning Engineer, Real-Time Bidding

Trellis is a profitable, fast-growing Series A startup backed by top investors like General Catalyst, QED, NYCA, and Amex Ventures.

Our mission: make shopping for home and auto insurance faster, smarter, and easier for everyday Americans. Powered by ML and GenAI, we help people find better insurance — saving them time, money, and stress.

We’re fully remote, built for speed, and led by a third-time fintech founder with a track record of building public companies.

If you move fast, take ownership, and care about your craft, you’ll thrive here.

About The Role

Trellis is hiring a Senior Machine Learning Engineer to advance our real-time bidding (RTB) systems. You will design, implement, and scale ML models that directly power high-volume bidding decisions across millions of daily ad auctions. This includes end-to-end ownership of the ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring in production. You’ll leverage Google Cloud Platform services (BigQuery, Vertex AI, Dataflow, Pub/Sub) and Python-based ML frameworks (TensorFlow, PyTorch, Scikit-learn) to deliver measurable improvements in bidding efficiency and ROI.

This is a fully remote position, based in the US or Canada, and will report directly into the Head of RTB, Thomas Boquet. 

What You’Ll Do

• Research, design, and implement advanced ML models for conversion rate prediction, value estimation, and pacing.
• Build robust feature pipelines with BigQuery and Dataflow, ensuring low-latency inference at scale.
• Deploy, monitor, and continuously improve models in production using Vertex AI.
• Develop and maintain MLOps frameworks to automate training, evaluation, and deployment.
• Partner with backend and distributed systems engineers to integrate models into high-throughput bidding services.
• Contribute to experimentation frameworks and AB testing of ML-driven bidding strategies.

What You’Ll Need

• 5+ years of ML engineering experience, including end-to-end deployment in production environments.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or Scikit-learn).
• Experience with cloud ML platforms, preferably GCP (Vertex AI, Dataflow, Pub/Sub, BigQuery).
• Familiarity with MLOps practices (CI/CD for ML, monitoring, reproducibility).
• Strong data skills: SQL, feature engineering, and big data processing.
• A pragmatic mindset: delivering fast, measurable improvements while balancing complexity and scale.

Trellis Is A Fantastic Place To Work

Join A Talented, Passionate Team:

• Flat, collaborative, transparent culture; get in at the ground floor and be a true business partner
• Opportunities for growth and development within your role and all areas of the organization
• 75th-percentile (competitive!) compensation
• 100% remote work environment
• Quarterly, fun team bonding events

Trellis Additionally Offers Competitive Benefits:

• Unlimited vacation time
• 100% employer-paid Platinum-tier health insurance for employee, 65% for dependents
• Flexible Spending Accounts (FSAs)
• 401(k) retirement savings plan
• Bonuses and equity opportunities
• Budget for home office equipment