[Hiring] Machine Learning Engineer @H&R Block

Role Description

The Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to solve real-world business challenges. This role focuses on hands-on model development, data preparation, and integration of ML solutions into production systems. The ideal candidate is a strong collaborator who works closely with fellow Machine Learning Engineers, MLOps Engineers, and cross-functional teams to deliver scalable and impactful AI solutions, including generative AI models.

Responsibilities and Duties

• Model Development: Design, build, and deploy machine learning models—including generative AI models—to address complex business problems.
• Data Collaboration: Work with teammates to preprocess, clean, and analyze structured and unstructured data for use in ML pipelines.
• Performance Optimization: Tune and optimize models for accuracy, efficiency, and scalability in production environments.
• Integration Support: Collaborate with MLOps Engineers to ensure smooth deployment, monitoring, and maintenance of ML models.
• Continuous Learning: Stay informed on the latest advancements in machine learning, deep learning, and generative AI technologies, and apply them where appropriate.
• Team Collaboration: Contribute to a collaborative engineering culture by sharing knowledge, participating in code reviews, and supporting team initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
• 1-2 years experience.
• Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, and spaCy.
• Proficiency in Python and familiarity with ML development workflows.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication and collaboration skills in a team-oriented environment.

Preferred Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
• Hands-on experience with building and deploying Machine Learning models for real-time inference.
• Experience with generative AI is a plus.

Benefits

• Competitive pay.
• Comprehensive benefits.
• Support for life both in and outside of work.
• Participation in one or more incentive compensation or short-term incentive plans.
• Medical and prescription drug coverage for qualifying associates and their eligible dependents.
• Participation in the H&R Block Retirement Savings Plan (401(k) Plan).
• Employee Assistance Program.
• (Virtual) fitness center programs.
• Associate discount program.
• Automatic enrollment in Business Travel Accident Insurance.
• Associate Tax Prep benefit.

Pay Range

The pay range for this position is $91,000.00 - $145,600.00/Yr. Local minimum wage laws apply. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location where work will be performed.