Mar 21
Your developing abilities as a Senior AI/ML Engineer are in the areas of software engineering, machine learning, and artificial intelligence. Contributions from you will go toward intelligent abstractions and APIs, data-centric backend services, and interactive experiences like interpretive tools and conversational agents. Write algorithms and applications with a lot of data.
As a Senior AI/ML Engineer, your growing skills are at the intersection of software engineering, machine learning, and artificial intelligence. You’ll contribute to data-centric backend services, thoughtful abstractions and APIs, and interactive experiences such as conversational agents and interpretive tools.Code data-intensive software and algorithms
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
5+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services (especially in functional languages such as Clojure), 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
Create strong technical designs with higher-order logic and clean data structures
deptly use algorithms and approaches in AI, machine learning, and NLP
Research and evaluate emerging tools and technologies
Improve workflows and MLOps
Have productive interactions that lift the team and stakeholders
Beyond the technical skills, we’re looking for individuals who are:
Clear communicators (verbal and written)
Able to synthesize patterns and useful abstractions
Conversant in underlying data structures, math, and algorithms
Creative in finding relevant and novel approaches
Productive in a dynamic setting
If you love to learn, you’ll be in good company. You’ll likely have a Bachelor’s or advanced degree in a quantitative field, or strong experience in professional coding and working with data.
Great Company Culture. We’ve been recognized by multiple organizations like Inc, Salt Lake Tribune, Glassdoor, & Comparably for our great workplace culture
Make an Impact. We care about your individuality by giving you freedom to grow and create within the company, regardless of your position
Rest and Relaxation. 4 weeks paid time off, 11 paid holidays, and we pay you to go on vacation (ask us about this)!
Health Benefits. Medical with HSA and FSA options, dental, and vision
Prepare for the Future. 401(k) with a generous company match, access to a personal financial planner, and both legal and life insurance
Financial Peace University. We pay for a one year subscription and you walk away with financial savvy and a bonus
Give back. Get paid to give your time to the community: ask us about this!
Educational Benefits. Whether you are a previous student, or currently enrolled in higher education, we can help cover some of those expenses
Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location