Senior Machine Learning Engineer - Hybrid (San Francisco or Austin) at Zendesk
You're a Machine Learning Engineer with at least 3 years of experience, holding a Bachelor's degree in a related field and deep expertise in statistical modelin
Work type: remote
Location: San Francisco, California, United States of America | Remote, Texas, United States of America | Remote, California, United States of America
Salary: $206,000 – $308,000/yr
Type: Full-time
You're a Machine Learning Engineer with at least 3 years of experience, holding a Bachelor's degree in a related field and deep expertise in statistical modeling, machine learning, and deep learning, particularly with LLMs.
**What makes it worth a look...**
This hybrid Senior Machine Learning Engineer role at Zendesk, located in San Francisco or Austin, offers a competitive annual base salary range of $206,000 to $308,000. You'll work on impactful ML solutions, leveraging LLMs and deep learning to drive business value.
**You might be a good fit if you...**
* Have practical experience with LLMs and transformers.
* Are proficient in Python and skilled in building scalable data science systems end-to-end.
* Have experience with MLOps best practices, including CI/CD, containerization, and orchestration.
* Are familiar with cloud data warehousing tools like Snowflake and cloud platforms such as AWS.
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