Machine Learning Engineer

H&R Block

. Design, build, and deploy machine learning models, including generative AI models, to address complex business problems .

Posted 9/18/2026full-timeRemote • Missouri • United StatesJunior💰 $91,000 - $145,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and deploying machine learning models, including generative AI, while effectively collaborating with cross-functional teams. Proficient in data preprocessing, model tuning, and utilizing ML frameworks to deliver scalable AI solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentGenerative AI ExperiencePython ProficiencyML Frameworks: Scikit-Learn, TensorFlow, PyTorch, SpaCyData Preprocessing and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIData AnalysisModel TuningPythonML FrameworksReal-Time InferenceStatistical AnalysisDeep LearningModel Optimization

Soft Skills

Analytical SkillsProblem-SolvingEffective CommunicationCollaborationAttention to Detail

Industry Keywords

MLOpsMachine Learning PipelinesCross-Functional CollaborationCode ReviewsAI Solutions

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, build, and deploy machine learning models, including generative AI models, to address complex business problems
Preprocess, clean, and analyze structured and unstructured data for ML 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 informed about advancements in machine learning, deep learning, and generative AI technologies and apply them where appropriate
Share knowledge, participate in code reviews, and support team initiatives
Work closely with Machine Learning Engineers, MLOps Engineers, and cross-functional teams to deliver scalable AI solutions

Requirements

What you’ll need

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: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)
Preferred: Hands-on experience building and deploying machine learning models for real-time inference
Experience with generative AI is a plus

Benefits

Comp & perks

Medical and prescription drug coverage for qualifying associates and eligible dependents
H&R Block Retirement Savings Plan (401(k) Plan)
Employee Assistance Program
(Virtual) fitness center programs
Associate discount program
Business Travel Accident Insurance
Associate Tax Prep benefit
Competitive pay
Comprehensive benefits
Support for life both in and outside of work
Continuous learning
High Performing, Connected Culture