Senior Engineer, Applied AI - Detect

5+ years of professional software engineering experience

Experience training, fine-tuning, or improving ML/AI models in a production setting

Strong understanding of model evaluation methodology and experiment tracking

Proficiency in Python or TypeScript

Nice to have:

Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in office culture, we allow up to 2 remote days per week.

Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is

$180,000 - $210,000

USD, depending upon the job level, which will depend on your level of expertise, your experience, and your qualifications. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays.

As a Senior Applied Machine Learning Engineer on the Detect team, you'll own the end-to-end lifecycle of the AI models that power our camera-based detection system — from data collection and labeling through training, evaluation, and production deployment. Today, Detect uses frontier multi-modal vision models to analyze video streams and detect falls in real time. Your job is to make these models dramatically better and more capable.

You'll take ownership of our ML experimentation platform and infrastructure, maturing it into a robust system that enables the team to rapidly iterate on model quality at scale. You'll design repeatable fine-tuning pipelines that allow models to continuously improve with new production data, and expand the system's detection capabilities beyond falls into new behavioral categories. This is a hands-on, high-autonomy role where you'll directly impact the accuracy of a life-saving system used every day by caregivers across the country.

Own and evolve our ML experimentation platform, maturing existing infrastructure into a production-grade system the team relies on daily

Build data pipelines for collecting, labeling, and preparing production video and image data for model training

Design repeatable fine-tuning and evaluation pipelines that enable rapid experimentation and measure model performance at scale