Senior Machine Learning Engineer

Role Description

The Senior Machine Learning Engineer plays a crucial role in advancing the capabilities of our machine learning initiatives. This position is pivotal in developing and deploying cutting-edge algorithms and models to enhance our operational efficiencies and customer satisfaction metrics.

• Design, develop, and implement machine learning models and algorithms to optimize operations and service delivery.
• Collaborate closely with cross-functional teams to define requirements, conduct feasibility analysis, and deliver scalable solutions.
• Lead the full lifecycle of machine learning projects, from ideation through to deployment and maintenance.
• Ensure adherence to best practices in machine learning, including model evaluation, validation, and monitoring.
• Drive innovation and continuous improvement in machine learning applications and processes.
• Provide technical guidance and mentorship to junior team members.
• Stay abreast of advancements in machine learning techniques and technologies to recommend improvements and new approaches.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.
• 3-5 years of experience in software application development and design experience.
• 3-5 years experience working with Machine Learning systems.
• 3-5 years of experience with AWS services (ECR, S3, SageMaker).
• 5+ years experience in Python (Pandas, Numpy, Scikit-learn).
• Experience building large, complex systems, particularly web services, RESTful APIs, and continuous integration and delivery.
• Experience with tree based models, DVC, Airflow and/or SQL are nice to have.
• Understand fundamental design principles behind a scalable application.
• Excellent communication skills, with the ability to interact with other teams.
• Motivated to understand the nuances of data and its impact on the business.

Requirements

• Hiring In: United States: Arizona, California, Florida, Georgia, Illinois, Massachusetts, Michigan, New Hampshire, New Mexico, New York State, North Carolina, Tennessee, Virginia.
• The anticipated closing date to submit applications for this role is 8/31/2026.

Benefits

• Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
• Financial Security: 401(k) plan with company match and tuition assistance to support your future goals.
• Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually.
• For Contact Center Roles: Accrual of up to 3 weeks Paid Time Off per year, paid sick leave, and ten paid holidays annually.
• Family Support: Parental planning benefits to assist associates through life’s milestones.
• Bonus/Incentive Programs.