AI​/ML Engineer

Please Note:

This is a remote position available in the state listed on this job. Additionally, employment with Bamboo

HR is contingent on passing both a background and credit check.

Our AI team is expanding. From prototypes to production features, we’re building logic to harness data to unleash new product possibilities and accelerate our business. Through our mission we can help millions of users in growing businesses achieve more with smart insights and interactions.

As a Staff 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.

You will:

• 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

• Create strong technical designs with higher-order logic and clean data structures
• Deftly use algorithms and approaches in AI, machine learning, and NLP
• Research and evaluate emerging tools and technologies
• Improve workflows and MLOps
• Technical expertise in functional languages such as Clojure
• Have productive interactions that lift the team and stakeholders

• 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.
• 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

At Bamboo

HR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better…