Join H&R Block in Missouri (onsite) and apply machine learning to real business challenges, including generative AI. This role focuses on designing, building, and deploying models that can run reliably in production, supported by strong collaboration across engineering teams and MLOps.
Compensation: $91,000.00 - $145,600.00 per year. Local minimum wage laws apply, and individual pay decisions depend on job-related factors such as experience, education, skill, performance, and the geographic location where work is performed. Successful candidates may be eligible for one or more incentive compensation or short-term incentive plans, which could generate additional earnings based on plan terms.
What you’ll do
- Design, build, and deploy machine learning models, including generative AI models, to address complex business problems.
- Work with teammates to preprocess, clean, and analyze both structured and unstructured data for machine learning pipelines.
- Tune and optimize models for accuracy, efficiency, and scalability in production environments.
- Collaborate with MLOps Engineers to support deployment, monitoring, and maintenance of ML models.
- Stay current on advancements in machine learning, deep learning, and generative AI, and apply them when appropriate.
- Contribute to a collaborative engineering culture through knowledge sharing, code reviews, and support of team initiatives.
Required 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 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 building and deploying machine learning models for real time inference.
Tools you’ll work with
- Python, scikit‑learn, TensorFlow, PyTorch, spaCy
Benefits and support
- Competitive pay and comprehensive benefits
- Support for life both in and outside of work
- Medical and prescription drug coverage for qualifying associates and/or eligible dependents
- H&R Block Retirement Savings Plan (401(k) Plan)
- Employee Assistance Program
- (virtual) fitness center programs
- Associate discount program
- Associate Tax Prep benefit
Note: This posting includes required pay range information and may be subject to local requirements. Individual compensation and eligibility for incentives depend on job-related factors and plan terms.
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