Machine Learning Engineer

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).
• 3 years total 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.
• Experience with generative AI is a plus.

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.

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).
• Access to the Employee Assistance Program.
• Virtual fitness center programs.
• Associate discount program.
• Automatic enrollment in Business Travel Accident Insurance.
• Associate Tax Prep benefit.

Pay Range Information

The pay range for this position is $91,000.00 - $145,600.00/Yr. 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.