Senior Machine Learning Engineer

Design, develop, and implement machine learning models and algorithms for complex problems
Work with data scientists, software engineers, and product teams on AI/ML solutions
Build scalable machine learning pipelines
Ensure data quality
Deploy models into production environments
Develop and optimize machine learning models
Preprocess and analyze large datasets
Integrate ML models into products and services
Monitor and evaluate deployed model performance
Drive business insights and improve customer experiences

• 3+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
• Experience with ML frameworks such as Tensor Flow, PyTorch, or scikit-learn
• Familiarity with cloud platforms including AWS, Azure, or GCP
• Familiarity with tools for data processing and model deployment
• Several years of experience designing, implementing, and deploying machine learning models
• Recent graduate: graduated within the past 12 months or graduating by Spring 2027
• PhD degree in Computer Science or a related field from an accredited college or university
• Must be legally able to work without Pay Pal visa sponsorship; visa sponsorship is not available now or in the future

Demonstrates expertise in designing, developing, and deploying machine learning models and algorithms, with a strong focus on data quality and performance evaluation. Proficient in utilizing ML frameworks and cloud platforms to drive business insights and enhance customer experiences.

• Machine Learning Model Development
• Tensor Flow
• Py Torch
• AWS
• Data Processing

• Machine Learning
• Model Deployment
• Data Analysis
• Algorithm Design
• Model Optimization

• Bachelor's Degree
• PhD in Computer Science

• AI/ML Solutions
• Scalable Machine Learning Pipelines
• Data Quality
• Model Performance Monitoring

• Cloud Platforms
• ML Frameworks
• Data Processing Tools