Senior Machine Learning Engineer Machine Learning Palo Alto, Boston, NYC, or Toronto Senior Mac[...]

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 create: new products, partnerships, content, and a new category of AI technology. As Overjet grows rapidly, 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 develop tools, infrastructure, processes, and systems that enable the creation, testing, and deployment of AI/ML models in large-scale production environments. You will be responsible for designing the architecture and roadmap of the full-stack ML lifecycle, from dataset creation to fully automated model deployment. Additionally, you will develop, implement, and maintain tools dedicated to monitoring the performance of our production models.

Responsibilities:
- Develop and maintain machine learning model development pipelines, real-time and batch inference pipelines, and metrics for tracking model performance.
- Design and develop internal tools and APIs related to training and evaluation dataset creation, along with model integration with labeling and data curation processes.
- Develop and maintain datasets, feature stores, and handle model performance optimization, monitoring, maintenance, and reporting.
- Provide 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 required.
- Strong programming skills in Python (5+ years).
- Experience with database systems (SQL and NoSQL) such as BigQuery, Postgres, and MongoDB.
- Experience optimizing models for production deployments (e.g., architecture modifications, quantization, or other techniques).
- Strong understanding of machine learning concepts and algorithms with real-world experience in deploying machine learning models.
- Working knowledge of either Computer Vision models or LLMs, with demonstrable experience using Pytorch.
- Ability to modify and train open-source models.

Our Hybrid Workplace:
Overjet offers a unique hybrid workplace that combines the collaboration of in-person meetings with the flexibility of remote work. Many of our positions are based in Palo Alto, New York City, Boston, and Lahore. Employees in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home for the remainder of the week.

EEOC:
Overjet is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team, and we encourage all candidates to apply, even if they don't meet 100% of the qualifications for this job!