Staff Machine Learning Engineer at Overjet

San Mateo, Alajuela, Costa Rica

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

Machine LearningML PipelinesInference PipelinesCI/CDObservabilityModel MonitoringAPIsModel TrainingModel EvaluationDataset Processing

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid.

What salary or compensation is offered for this Staff ML Engineer position?

This information is not specified in the job description.

What are the key skills and experience required for this role?

Candidates need 6+ years designing microservices and data processing pipelines at scale, 6+ years with cloud platforms like GCP, AWS or Azure, experience with Kubernetes and DevOps tools like Terraform and ArgoCD, strong programming in Python, Go, C++ or Java (10+ years), and extensive database experience with SQL and NoSQL systems.

What is the company culture like at Overjet?

Overjet fosters a culture where builders become leaders, everyone loves making new products, partnerships, content, and AI technology, and emphasizes accelerating careers in a fast-growing environment focused on ML/AI innovation, creative problem-solving, and first principles.

What makes a strong candidate for this Staff ML Engineer role?

A strong candidate thrives in uncertainty, builds cloud pipelines from the ground up using the latest technologies, has experience with distributed model training, model optimization for production, and a strong understanding of ML concepts, while being comfortable with on-call rotations.

Overjet

AI for dental care and claims

About Overjet

Overjet.ai focuses on enhancing oral health through artificial intelligence solutions tailored for the dental industry. The company offers two main products: the Clinical Intelligence Platform and the Claim Intelligence Platform. The Clinical Intelligence Platform assists dental providers by integrating AI insights from dental radiographs with patient and treatment data, which helps improve clinical performance and patient outcomes. Meanwhile, the Claim Intelligence Platform aids insurance companies by analyzing radiographic claims to streamline the claims review process, allowing for quicker approvals and enabling examiners to concentrate on more complex claims. Overjet.ai distinguishes itself from competitors by specifically targeting the dental sector and providing tailored solutions that enhance both clinical care and administrative efficiency. The company's goal is to create a future where dental care is more precise, efficient, and centered around patient needs.

Cambridge, MassachusettsHeadquarters

2018Year Founded

$127MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees