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Senior Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

3+ years designing microservices and data pipelines, Experience with GCP or AWS (3+ years), Strong proficiency in Python (5+ years), Knowledge of Kubernetes and Terraform required, Machine learning knowledge of Computer Vision or LLMs.

Key responsabilities:

  • Develop and maintain ML model pipelines
  • Implement metrics for tracking performance
  • Design internal tools for dataset management
  • Optimize model performance and reporting
  • Develop training and inference services
Overjet logo
Overjet Scaleup https://www.overjet.ai/
51 - 200 Employees
About Overjet
Overjet is pioneering the next era of dentistry. Modern DSOs and insurance companies are realizing the clinical and operational value of innovative technologies and moving towards smart operations that leverage artificial intelligence. Guided by a patient-centric AI, Overjet’s FDA-cleared platform offers more data points in x-rays than previously possible. It integrates with major practice management and imaging systems to guide clinicians to arrive at precise & accurate diagnostic decisions, better care and patient outcomes that drive dentistry forward. With data-driven diagnoses being the key to success, Overjet enables clinicians to achieve higher clinical accuracy, precision, and consistency. When dentists see objective confirmation of a diagnosis they made, they feel more confident, and patients know they can trust their doctors. Building on formative experiences with MIT and Harvard School of Dental Medicine, Overjet was founded on the vision to enhance clinical decision-making to improve oral health. Every day, some of the largest DSOs, dental groups, and insurance companies rely on accurate information provided by Overjet to deliver care and services.
See more Overjet offers

Job description

Lead the future of dental care.

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 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

Why Overjet? 

  • Competitive Compensation and Equity
  • 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

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

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Performance AnalyticsComputer VisionMicroservicesSQL (Programming Language)KubernetesPostgreSQLGoogle Cloud Platform (GCP)Model ValidationNoSQLREST API DevelopmentAmazon Web ServicesData CurationMachine LearningPython (Programming Language)Data PipelinesSystem OptimizationBigQueryMongoDBPyTorch (Machine Learning Library)Terraform
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