Sr. ML/Data Science Engineer at BambooHR

, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, MLOps, Business Intelligence, TensorFlow, PyTorch, Scikit-learn, Problem Solving, Communication, Stakeholder Management, System Architecture, Data Analytics, Predictive Modeling, Prescriptive Modeling, Collaboration, Technical Solutions

Industry

Human Resources Services

Description

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. Essential Job Duties The Senior ML/Data Science Engineer will play a pivotal role in advancing machine learning and data-driven decision-making across the organization. This role partners closely with stakeholders to align technical innovation with business needs, architecting ML systems and frameworks that raise the standard for Business Intelligence. The engineer will design and implement advanced methodologies, collaborate with BI engineers and analysts to build predictive and prescriptive capabilities, and help establish decision-making practices that guide the Data & BI team. Success in this role means delivering ML solutions that are practical, scalable, and impactful, while contributing to a culture of data innovation. You will: Build and maintain strategic partnerships across the organization to ensure ML and BI initiatives align with business priorities. Architect, design, and implement ML solutions and system frameworks that elevate BI practices. Develop advanced analytical approaches that strengthen the foundation of the data and BI platform. Collaborate with BI/Analytics Engineers and Data Analysts to deliver predictive and prescriptive models that enhance decision-making. Establish decision-making frameworks, processes, and tools that become standard practices for the Data & BI Engineering team. Stay current with emerging trends in ML, AI, and BI; recommend and apply relevant tools and techniques to improve team capabilities. Apply MLOps best practices to optimize models for production performance, scalability, and maintainability. Translate complex technical concepts into actionable insights for diverse technical and non-technical audiences. What You Need to Get the Job Done 5–7 years of professional experience designing, implementing, and deploying ML/AI systems at scale. Expertise in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and a strong understanding of their theoretical underpinnings. Proven ability to develop novel algorithms and approaches for complex problem-solving. Strong system architecture and engineering skills with a focus on scalability, reliability, and performance. Experience collaborating with cross-functional teams to translate business needs into technical solutions. Strong grasp of MLOps practices and experience optimizing ML systems for production environments. Excellent problem-solving, communication, and stakeholder management skills. Bachelor’s degree in Business Analytics, Data Science, Computer Science, or a related field. AI at BambooHR: At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We're actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we're looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI's potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR's impact on setting people free to do great work. Join us in reimagining the future of HR! What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune 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 Check out all our benefits that benefit you About Us At BambooHR, 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 for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here.

Responsibilities

The Senior ML/Data Science Engineer will advance machine learning and data-driven decision-making by architecting ML systems and frameworks. They will collaborate with stakeholders and BI teams to deliver impactful ML solutions that align with business needs.