Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
About the role
- Staff Machine Learning Engineer at Overjet driving the development of AI/ML models and systems for dental care. Responsible for full-stack ML lifecycle and operationalizing models for production.
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
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
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.
Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.