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

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

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

Staff AI/ML Engineer

Key skills