Senior AI/ML Engineer

Summary

Join BambooHR as a Senior AI/ML Engineer and contribute to the development of data-centric backend services, APIs, and interactive experiences. You will build platforms for intelligent decisions, collaborate with cross-functional teams, research new algorithms, and ensure high-quality system delivery. This remote position requires 5+ years of experience in building data-centric software and a Bachelor's degree in Computer Science or a related field. Preferred qualifications include advanced degrees and expertise with LLMs and cloud environments. BambooHR offers excellent benefits, including paid time off, health benefits, retirement plan, and professional development opportunities.

Requirements

• 5+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
• Bachelor’s Degree in Computer Science or a related technical field
• 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

Responsibilities

• 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
• Code data-intensive software and algorithms

Preferred Qualifications

• Advanced degrees
• 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
• 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

Benefits

• 4 weeks paid time off
• 11 paid holidays
• Paid vacation time
• Medical with HSA and FSA options, dental, and vision
• 401(k) with a generous company match
• Access to a personal financial planner
• Legal and life insurance
• Financial Peace University (paid one-year subscription)
• Paid time to volunteer in the community
• Educational Benefits (assistance with higher education expenses)
• Flexible Work Models (in-office, work-from-home, or hybrid)