Machine Learning Engineer Machine Learning San Mateo Machine Learning Engineer Mach

Position: Staff Machine Learning Engineer Machine Learning San Mateo Staff Machine Learning Engineer Mach[...]
Lead the Future of Dentistry.

Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all.

Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you.

Simply put, there’s no better place to accelerate your career. Come join us!

The Role

As a Staff ML Engineer at Overjet, your aim will be to lead the development of tools, infrastructure, processes, and overall systems that enable us to develop, test, ship and operationalize AI/ML models into large scale production environments.

You will be responsible for designing the architecture and roadmap of the full-stack of ML lifecycle: from dataset creation and pre- and post-processing, model training, and model evaluation to the fully automated CI/CD process for seamless deployment of models and ML solutions in production. As part of your role, you will also be responsible for the development, implementation, and maintenance of tools and systems dedicated to monitoring the performance of our production models.

You thrive in uncertainty and are comfortable building entire cloud pipelines from the ground up, leveraging the latest technologies. At Overjet, we are at the forefront of ML/AI innovation, where creative problem-solving and a strong grasp of first principles are essential. We are focused on building future-ready solutions today.

Responsibilities

• Design, develop, and maintain machine learning model development pipelines

• Design, develop, and maintain real-time and batch inference pipelines

• Design, implement, and maintain metrics for infrastructure observability and ML model performance

• Design and develop APIs for model training and inference services, develop and maintain datasets and feature stores

• Model performance optimization, monitoring, maintenance, and reporting

• Participating in an on-call rotation, responding to critical incidents outside of normal business hours

Qualifications

• 6+ years of experience designing microservices and data processing pipelines at scale

• 6+ years of experience with Cloud Platform such as GCP, AWS or Azure

• Experience with distributed model training and/or inference

• Experience with deploying applications on Kubernetes, Dev Ops/Git Ops tools such as Terraform, ArgoCD, Crossplane

• Strong programming skills in Python, Go (Golang), C++ or Java (10+ years)

• Extensive experience with database (SQL and No

SQL) systems such as Big Query, Postgres, MongoDB

• Experience with optimizing models for production deployments (e.g., architecture modifications, quantization, or other techniques)

• Strong understanding of machine learning concepts and algorithms, and experience with developing and deploying machine learning models in production

• Working machine learning knowledge of either Computer Vision models or LLMs (Demonstrable experience working with Pytorch is required)

• Ability to modify and train open source models

Why Overjet?

• Competitive Compensation and Equity

• Hybrid workplace that provides flexibility, vibrant in-person work spaces, and the ability to build strong connections across all of Overjet - regardless of location

• 401k plans with a matching program

• Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered

• Life and AD+D Insurance

• 8 weeks Paid Parental Leave

• Optional HSA with Employer contribution

• Flexible Time Off and company paid holidays

• Annual Learning and Development Stipend

• Work from Home Stipend

Our Hybrid Workplace

We have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere.

Many of our positions are based in San Mateo, New York City, Boston, Salt Lake City, and Lahore. The Jet setters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week.

Our People Team is happy…