Staff Engineer – Machine Learning
GEICO
AzureCloudDockerJavaKubernetes.NETNoSQLPythonSDLCSQL
Senior Principal Machine Learning Engineer
WillHire
full-time
Posted on:
Location Type: Hybrid
Location: Pleasanton • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $268,000 - $402,000 per year
Job Level
Senior
Tech Stack
AWSCloudGoogle Cloud PlatformPyTorchTensorflow
About the role
- Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
- Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
- Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.
- Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
- Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
- Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
- Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.
Requirements
- 15+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale
- 5+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
- 7+ years of professional experience in building services to host machine learning models in production at scale
- 3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
- 7+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Benefits
- Workday Bonus Plan or role-specific commission/bonus
- Annual refresh stock grants
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningPytorchTensorFlowlarge language modelstext generation modelsgraph neural networksAI system lifecyclemodel trainingsystem integration
Soft skills
collaborationrelationship buildingcommunicationinnovationproblem solvingfeedback mechanismscontinuous learning
Certifications
Bachelor’s degreeMaster’s degreePhD
