Machine Learning Engineer

Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens. As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, and data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Machine Learning Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time and 100% remote.

Responsibilities

• Experiment with emerging technologies and contribute to building new models and systems
• Implement prototypes of the algorithms and models you design in Python
• Focus on delivering solutions to production (this is not a research-only role)
• Design training and evaluation protocols
• Set up monitoring for performance metrics and overall system behaviour including alerts for any anomaly detected
• Partner closely with the platform engineering team to streamline and optimize MLOps workflows
• Use Kanban to manage multiple releases per week
• Maintain high code quality through code reviews and automated tests

Here are a few indicators that you're the right person

• You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks
• You want to be part of a small team inside a large company with massive opportunity for growth
• You enjoy collaboration with other teams including product, biz dev, and our in-house QA team
• You eagerly dig into complex engineering problems

Qualifications

• You have hands-on experience implementing production machine learning systems at scale
• Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn etc
• Familiarity with ML tools like MLFlow, Ray Serving
• Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis
• Familiarity with AWS and Google Cloud big data products

We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.