Ai/Ml Engineering Senior Manager

Summary

Join BambooHR's expanding AI team as an AI/ML Engineering Senior Manager and contribute to building AI capabilities within our product and platform. You will manage a team of data scientists, machine learning engineers, and software engineers, providing technical guidance and fostering a culture of innovation. Responsibilities include overseeing the development and deployment of machine learning models, ensuring data quality, collaborating with IT, and managing team performance. This remote position requires 12+ years of experience in data science and machine learning, 5+ years of technical leadership, and strong technical foundations. BambooHR offers a great company culture, competitive benefits including paid time off, health benefits, retirement plan, and professional development opportunities.

Requirements

• 12+ years of experience deriving insights from data and building computational software (data science, machine learning, AI, and implementing data-centric software and systems)
• 5+ years of real-world, demonstrable technical leadership
• Strong technical foundations in wielding data (data querying / transformation / visualization, machine learning, deep learning, stats, math, NLP, generative AI and LLMs)
• Demonstrated architecture experience
• Proficiency in git-based workflows with AI and machine learning tools
• Analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
• Exceptional interpersonal and communication skills, distilling complex technical concepts and insights
• Leadership and project management skills to prioritize tasks, manage resources, and meet deadlines

Responsibilities

• Manage data scientists, machine learning engineers, and software engineers building AI-powered applications and key platform components
• Demonstrate leadership and patience through regular coaching and mentoring in individual and team settings
• Provide technical guidance and foster a culture of continuous learning and innovation
• Consult with product management, UX designers, tech leads and business stakeholders to explore and deliver AI-enabled software solutions and platform capabilities
• Oversee the development and deployment of machine learning models, algorithms, and intelligent services to extract insights and create value for customers and the business
• Ensure the quality, accuracy, and reliability of data science and AI applications through rigorous testing, validation, and monitoring
• Collaborate with IT teams to ensure availability, scalability, and security
• Manage and maintain your team’s execution roadmap, including grooming a pipeline and delivery expectations
• Show and maintain accountability in team and individual performance (yours and others) in research and development efforts, project delivery goals, and OKRs
• Participate in department hiring efforts
• Contribute to the ongoing improvement of our systems and processes
• Stay up-to-date with relevant advancements and evaluate their potential application
• Be a strong culture addition and advocate for our company values
• Come to work, do great things, then go home!

Preferred Qualifications

• Proficiency in documenting processes and monitoring performance metrics
• Demonstrated experience delivering machine learning projects, and scaling data solutions and intelligent applications
• Development expertise in languages and tools such as Python, Clojure, SQL, LLMs, Spark, and data science libraries and frameworks (TensorFlow, PyTorch, scikit-learn)
• Solid understanding of data engineering principles, data management, and data governance
• Skill with analytical data stores such as Snowflake, Databricks, and in-house application data
• Experience deploying and maintaining production AI applications in cloud environments, ideally in support of continuously deployed SaaS applications
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. PhD is a plus

Benefits

• 4 weeks paid time off, 11 paid holidays, and we pay you to go on vacation
• Medical with HSA and FSA options, dental, and vision
• 401(k) with a generous company match, access to a personal financial planner, and both legal and life insurance
• We pay for a one year subscription to Financial Peace University and you walk away with financial savvy and a bonus
• Get paid to give your time to the community
• We can help cover some educational expenses
• In-Person Onboarding! All new hires get to experience our in-person onboarding class, Bamboo Beginnings, at our Draper, UT headquarters!
• Flexible Work Models . In-office, work-from-home, or hybrid, depending on position and location