Machine Learning Engineer

About the Role

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.

Required 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.

Why work for us

At H&R Block, our purpose is simple: to provide help and inspire confidence in our clients and communities everywhere. For more than 70 years, we’ve led the tax industry and we continue to evolve through our Block Next strategy, blending human expertise with digital innovation. That same commitment to care extends to our associates. When you join us, you become part of a High Performing, Connected Culture built on strong relationships, continuous learning, and a shared commitment to making a meaningful impact. We invest in your well-being through competitive pay, comprehensive benefits, and support for life both in and outside of work. Pay Range Information

The pay range for this position is listed below. Local minimum wage laws apply. This information is posted pursuant to local requirements to provide applicants with information about what they might be eligible to receive. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location where work will be performed. Successful candidates may be able to participate in one or more incentive compensation or short-term incentive plans, which could generate additional earnings in accordance with the terms of each plan. Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage; can participate in the H&R Block Retirement Savings Plan (401(k) Plan), the Employee Assistance Program, (virtual) fitness center programs, and the associate discount program; are automatically enrolled in Business Travel Accident Insurance; and receive Associate Tax Prep benefit. Pay Range

$91,000.00 - $145,600.00/Yr.