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Job description
Join a hybrid team in Austin to lead end to end work on advanced machine learning models, from development through production deployment.
Responsibilities
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
Requirements
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 TensorFlow , PyTorch , and scikit-learn
Expertise with cloud platforms and tooling for data processing and model deployment on AWS , Azure , and GCP
Tech Stack
TensorFlow
PyTorch
scikit-learn
AWS
Azure
GCP
Compensation and Location
Austin, Texas (Hybrid) | $178,500 - $265,100 per year
San Jose, California (Primary location) | $196,500 - $291,500 per year
Travel: 0%
Benefits
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
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.