AI/ML Engineer

Summary

Join BambooHR's expanding AI team as an AI/ML Engineer and contribute to building data-driven backend services, APIs, and interactive experiences. You will leverage your skills in software engineering, machine learning, and artificial intelligence to code data-intensive software, collaborate with cross-functional teams, and research new approaches. The ideal candidate possesses 2+ years of experience in building data-centric software, experience with LLMs and vector databases, and proficiency in languages like Python or Java. A strong understanding of machine learning evaluation methods and a passion for clean code are also highly valued. BambooHR offers a great company culture, comprehensive benefits, generous leave policies, and a 401k plan with company match.

Requirements

• 2+ years of professional experience building data-centric software as a machine learning engineer, AI specialist, software-focused data scientist, or similar
• Experience with LLMs, prompt engineering, AI agents, and vector databases
• Track record as an engineer building for production, ideally with machine learning algorithms, data-centric platform services, and stochastic systems
• Experience with languages including Python, Java, Clojure, and/or the ability to pick up new languages quickly
• Demonstrated ability to interface data repositories/caches / pipelines, message queues, ML models, LLMs, and other services in cloud environments, especially AWS
• Skill collaborating using cloud-based tooling, git, notebooks, and ML workflows

Responsibilities

• Code data-intensive software and algorithms
• Leverage 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 the effective use of AI applications
• Research and prove out new approaches and algorithms through prototypes

Preferred Qualifications

• Affinity for writing clean code
• Intuitive grasp of LLM capabilities and limitations
• Understanding of machine learning evaluation methods and experiment design
• Creative problem solving and root cause analysis abilities
• Initiative to dive into intimidating technical problems and unfamiliar paradigms
• Interest in keeping up with emerging techniques
• Participation in team processes and AIOps
• 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
• Productive in a dynamic setting
• Bachelor’s or advanced degree in a quantitative field, or strong experience in professional coding and working with modern AI tooling

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