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Staff Machine Learning Engineer
Staff Machine Learning EngineerOverjet • San Mateo, California, USA
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Overjet • San Mateo, California, USA
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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 were 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 theres 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 DevOps / GitOps tools such as Terraform ArgoCD Crossplane

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

Extensive 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

Why Overjet

Competitive Compensation and Equity

Hybrid workplace that provides flexibility vibrant in-person workspaces 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 ADD 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 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.

Our People Team is happy to answer any questions about what hybrid work means for your specific role!

Overjets Values

Excellence : We set ambitious goals and strive for excellence.

Velocity : We focus act with urgency and deliver results.

Ownership : We take ownership dive deep and solve problems.

Win-win : We play to win setting ourselves and our customers up for success.

Growth : We stay curious seek feedback and continuously learn and grow.

Company Recognition

Honored as one of the 2025 Best Places to Work by Built Inand 2024 Best Places to Work by Built In

Named one of the TIME Best Inventions of 2024

Recognized in Newsweek s Most Loved Workplaces in America 2024

Won the Dental Health category at the Digital Health Awards 2024 and 2024 Best Places to Work by Built In

Recognized as one of the Top Startups of 2023 by LinkedIn

Named one of the 2023 Worlds Most Innovative Companies by Fast Company

Included on the definitive 2022 Forbes AI 50

Featured in Bloomberg Forbes Fast Company and TechCrunch

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 dont meet 100% of the qualifications for this job we strongly encourage you to apply!

If you are a Colorado resident : Please contact us by emailing to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

Required Experience :

Staff IC

Key Skills

Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems

Employment Type : Full-Time

Experience : years

Vacancy : 1

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