Machine Learning Engineer

Join a hybrid team in Austin to lead end to end work on advanced machine learning models, from development through production deployment.

• Drive the design, development, and optimization of advanced machine learning models and algorithms
• Oversee preprocessing and analysis for large-scale datasets
• Deploy and maintain machine learning solutions in production environments
• Partner with data scientists, software engineers, and product teams to integrate ML models into products and services
• Monitor deployed model performance, evaluate results, and apply adjustments as needed

• 5+ years of relevant experience and a Bachelor’s degree OR an equivalent combination of education and experience
• Strong experience with major ML frameworks including Tensor Flow
  , Py Torch , and scikit-learn
• Expertise with cloud platforms and tooling for data processing and model deployment on AWS
  , Azure
  , and GCP

• Tensor Flow
• Py Torch
• scikit-learn
• AWS
• Azure
• GCP

• Austin, Texas (Hybrid) | $178,500 - $265,100 per year
• San Jose, California (Primary location) | $196,500 - $291,500 per year
• Travel: 0%

• Comprehensive, choice-based programs supporting personal wellbeing across physical, emotional, and financial health
• Generous paid time off
• Healthcare coverage for you and your family
• Resources to create financial security
• Support for your mental health