Overjet is the global 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 an ML Engineer at Overjet, your aim will be to help in the development of tools, infrastructure, processes, and overall systems that enable us to develop, test, and ship 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 infrastructure, to the fully automated deployment of models 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.
Responsibilities
- Develop and maintain machine learning model development pipelines
- Develop and maintain real time and batch inference pipelines
- Implement and maintain metrics for tracking ML models performance
- Design and develop internal tools and APIs related to training and evaluation dataset creation
- Model integration with labeling and data curation processes
- Develop and maintain datasets and feature stores
- Model performance optimization, monitoring, maintenance, and reporting
- Development of generalized training and inference services
Qualifications
- 3+ years of experience designing microservices and data processing pipelines at scale
- 3+ years of experience with Google Cloud Platform (GCP) or AWS
- Experience with distributed model training and/or inference
- Previous experience deploying systems for efficient batch or online ETL (Knowledge of Kubernetes and Terraform is required)
- Strong programming skills in Python (5+ years)
- Experience with database (SQL and NoSQL) systems such as BigQuery, 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
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 Palo Alto, New York City, Boston, and Lahore. The Jetsetters 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.
EEOC
Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply!
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