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Staff Machine Learning Engineer - Remote

Posted 7 weeks ago
Software Development
Full Time
Worldwide

Overview

As a Staff Machine Learning Engineer on Trellis’s Real-Time Bidding team, you will build, deploy, and optimize the ML models that drive >$100 million of annual programmatic marketing spend.

In Short

  • Join a profitable, fast-growing, Series A start-up.
  • Work fully remote with maximum flexibility.
  • Build and optimize ML models for real-time bidding.
  • Collaborate with Data Engineering to harness high-quality data.
  • Utilize advanced statistical techniques and ML frameworks.
  • Mentor team members and drive technical excellence.
  • Architect scalable services using Kubernetes and GCP.
  • Contribute to business strategy with ML-driven solutions.
  • Enjoy a flat, collaborative culture with growth opportunities.
  • Receive competitive compensation and benefits.

Requirements

  • Proficiency in SQL and data handling.
  • Knowledge of Real-Time Bidding and AdTech.
  • Fluency in statistical and machine learning techniques.
  • Strong teamwork and communication skills.
  • Experience with cloud platforms and Kubernetes.

Benefits

  • Unlimited vacation time.
  • 100% employer-paid health insurance for employees.
  • Flexible Spending Accounts (FSAs).
  • 401(k) retirement savings plan.
  • Bonuses and equity opportunities.
  • Budget for home office equipment.
Trellis logo

Trellis

Trellis is a profitable and rapidly growing Series A startup that specializes in simplifying and automating the shopping experience for home and auto insurance. Backed by prominent venture capital firms such as General Catalyst, QED, NYCA, and Amex Ventures, Trellis leverages machine learning and generative AI to provide efficient insurance recommendations, making the process faster, cheaper, and smarter for everyday Americans. The company operates fully remotely, allowing it to attract top talent and offer maximum flexibility to its team. Led by experienced fintech entrepreneur Daniel Demetri, Trellis is committed to fostering a collaborative and positive work culture, emphasizing values such as extreme ownership, speed, craft, collaboration, and positivity.

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