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. 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 #J-18808-Ljbffr