Machine Learning Engineer

Q2 Software•Austin, TX

1d•Hybrid

About The Position

The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation. Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager.

Requirements

Bachelor’s degree in related field and 5–8 years relevant experience
Proven experience in ML model development and deployment
Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
Proficiency in programming languages such as Python, R, or Java
Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
Familiarity with cloud platforms and scalable computing resources
Strong analytical, problem-solving, and collaboration skills
Fluent written and oral communication in English
Authorized to work for any employer in the U.S.

Responsibilities

Design and implement machine learning algorithms and models for various business applications
Conduct research and experimentation to advance machine learning capabilities
Collaborate with cross-functional teams to integrate AI solutions into production environments
Analyze large datasets to extract meaningful insights and support data-driven decisions
Develop scalable machine learning pipelines and systems
Maintain up-to-date knowledge of emerging AI and machine learning trends
Ensure the quality and performance of AI systems through testing and validation