Staff AI/ML Engineer
CGWS - COME GROW WITH US
full-time
Posted on:
Location Type: Remote
Location: Utah • United States
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Job Level
About the role
- Build platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions such as conversational interfaces
- Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications
- Research and prove out new approaches and algorithms through prototypes
- Ensure high-quality system delivery and continually improve workflows and methods
Requirements
- 6+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
- Experience building and deploying production applications and a deep understanding of the end to end components of a Cloud based application
- Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services, and intelligent systems at scale
- Demonstrated ability to interface data repositories / caches / pipelines, message queues, ML models, LLMs, and other services in cloud environments, especially AWS
- Expertise with LLMs, prompt engineering, agent building, and vector databases
- Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows
Benefits
- Comprehensive health, life, and disability insurance
- Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
- 401k plans with up to 6% company match
- $2000 Paid-Paid Vacation bonus
- EAP through Headspace
- Great Company Culture that has been recognized by multiple organizations
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAI applicationsproduction applicationscloud-based applicationsPythonmachine learning algorithmsdata repositoriesmessage queuesLLMsvector databases
Soft Skills
collaborationcommunicationproblem-solvingresearchworkflow improvement