Senior AI Engineer - Detect

• Improve detection accuracy and reduce false positives through prompt engineering, model fine-tuning, and novel inference strategies
• Work closely with the backend engineering team to integrate model improvements into the real-time video processing pipeline
• 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
• Expand detection capabilities into new behavioral categories

Do you have experience in Model evaluation?, * 5+ years of professional software engineering experience

• Experience training, fine-tuning, or improving external ML/AI models in a production setting
• Strong understanding of model evaluation methodology and experiment tracking
• Proficiency in Python or TypeScript, * Experience with cloud AI platforms (Google Vertex AI, AWS SageMaker, or similar)
• Experience fine-tuning multi-modal models (VLMs) or large language models (LLMs)
• Familiarity with Kotlin, Java, or similar JVM languages
• Full-stack capability with TypeScript/React for building internal tool UIs
• Background in computer vision, video processing, or working with image/video data at scale
• Experience building internal ML tooling (labeling, experiment tracking, evaluation)
• Experience maturing early-stage internal tools into production-grade systems

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance
• Stock options
• Paid holidays, 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.

Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective. Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters.