Staff Machine Learning Engineer Machine Learning San Mateo Staff Machine Learning Engineer Mach[...] (Boston) Job at Overjet Limited, Boston, MA

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  • Overjet Limited
  • Boston, MA

Job Description

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 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 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!

Overjet's 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 In and 2024 Best Places to Work by Built In
  • Named one of the TIME Best Inventions of 2024
  • Recognized in Newsweeks 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 don't 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 recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

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Job Tags

Full time, Live in, Work at office, Flexible hours,

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