Principal Optimization and Machine Learning Engineer
Agero, Inc.
AirflowAWSAzureCloudGoogle Cloud PlatformPythonPyTorchSQL
Senior Machine Learning Engineer
Vannevar Labs
full-time
Posted on:
Location Type: Hybrid
Location: Raleigh • North Carolina • 🇺🇸 United States
Visit company websiteSalary
💰 $160,000 - $200,000 per year
Job Level
Senior
Tech Stack
AWSAzureBootstrapCloudGoogle Cloud Platform
About the role
- Own the transition of developed MLOps pipeline components into an automated pipeline to produce and evaluate models for production
- Develop metrics and methodologies to identify algorithmic and training gaps, ensuring the effectiveness of the production models are visible to all stakeholders
- Collaborate with cross disciplinary engineering teams to integrate developed algorithms and models into production
- Be a hands-on technical contributor to unblock or bootstrap key initiatives
- Travel up to 20% of the time to meet with internal and external stakeholders
Requirements
- 4+ years working with ML researchers to take AI/ML products from research to production
- 2+ years of building CI/CD pipelines or using Infrastructure-as-code tools
- 2+ years developing server-side architecture and data models to support data products that integrate machine learning
- 2+ years with model versioning and experimentation platform like Weights and Biases
- Experience deploying code to cloud platform (AWS, Google Cloud Platform, or Azure)
- Experience developing AI/ML models in physical or applied science fields OR experience as a signal processing engineer, RF Sytems Engineer, or similar discipline
Benefits
- Health, dental, and vision insurance
- Unlimited PTO including competitive vacation and holiday schedules
- Lifestyle stipends - Monthly mental health, wellness & fitness stipend, in-home office setup stipend and family planning assistance
- Salary top-up during military reserve duty
- Fully paid parental leave
- Child and pet care reimbursement during travel
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsCI/CD pipelinesInfrastructure-as-codeserver-side architecturedata modelsmodel versioningexperiment platformsAI/ML modelssignal processingRF Systems Engineering
Soft skills
collaborationtechnical contributionstakeholder communication
