Machine Learning Engineer

As a Machine Learning Engineer at Overjet, you will play a crucial role in developing tools and infrastructure to enhance the efficiency and performance of our ML models. Your responsibilities will include designing and maintaining machine learning development pipelines, implementing metrics for tracking model performance, and developing internal tools and APIs for dataset creation and evaluation. Additionally, you will be responsible for model integration, optimization, monitoring, and reporting. We are looking for candidates with strong programming skills, experience with cloud platforms, and a solid understanding of machine learning concepts and algorithms. Join our ambitious team and contribute to improving oral health through cutting-edge AI technology.

• Develop and maintain machine learning development 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.
• Ability to be "on-call" on non-working hours periodically, as needed and planned for by the team.

• 2+ years of experience designing microservices and data processing pipelines at scale
• 2+ years of experience with Google Cloud Platform (GCP) or AWS
• 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
• Ability to modify and train open source models
• Experience with distributed model training and/or inference
• Previous experience deploying systems for efficient batch or online ETL

• Competitive Compensation and Equity
• Fully Remote Working Policy for US Based Employees
• 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
• 15 Day PTO policies and company paid holidays
• Annual Learning and Development Stipend
• Work from Home Stipend