Sr. AI/ML Engineer

Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. 

Essential Job Duties

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

What You Need to Get the Job Done

• 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

A strong contender will also demonstrate abilities to:

• 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.

What You'll Love About Us

• 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
• Amazing Office Amenities. We’ve got incredible benefits at our Draper headquarters including a full size gym, pickleball courts, a great office cafe, and free fountain drinks! Ask us more about our office!
• In-Person Onboarding! All new hires get to experience our in-person onboarding class, Bamboo Beginnings, at our Draper, UT headquarters! Ask us more about Bamboo Beginnings!
• Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location