Customer Solutions Engineer
$127K–$183K
Austin, TX, USA · Full-time · Posted Oct 12, 2026
- Experience
- 3 years with a Bachelor’s degree, or 1 year with a Master’s degree; additionally, 1 year of experience in each specified ML area.
- Education
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
About the job
Advises customers on business goals and builds, optimizes, and supports Generative AI solutions using Google Cloud.
What you'll do
- Design and architect customer solutions; develop prototypes, tune models, and troubleshoot technical issues.
- Scope requirements, write production-quality code, and ensure compliance with engineering and data policies.
- Create reusable technical assets and collaborate with product, strategy, account, and field teams.
What they ask for
- Bachelor’s degree in a related field and 3 years of relevant experience, or a Master’s degree in a related field and 1 year of relevant experience.
- 1 year of experience applying machine learning techniques using VertexAI.
- 1 year of experience with TensorFlow or PyTorch and training or fine-tuning large-scale models with accelerators including VertexAI.
- 1 year of experience in ML performance and cost optimization, and systems design for data and ML pipelines and ML training and serving.
Pay
$127,000 - $183,000 USD base salary; 15% bonus target + equity + benefits (amount not specified)
Tools
Google Cloud, VertexAI, TensorFlow, PyTorch
AI focus
Designs Generative AI-driven customer solutions; applies machine learning, trains and fine-tunes large-scale models, and optimizes model performance and cost.
Model-written summary · the original posting is authoritative