TL;DR

Senior Platform Machine L%hirify_global%g Engineer (AI): Designing, building, and maintaining the ML and AI platform and tools to support the end-to-end machine l%hirify_global%g lifecycle with an accent on optimizing model training and deployment processes and ensuring reproducibility of results. Focus on evaluating and adopting new technologies and tools to enhance machine-l%hirify_global%g capabilities.

Location: This is a hybrid position in Mountain View and will require in-office work 2 days a week.

Salary: $232,200 to $283,800, plus equity and benefits

Company

%hirify_global% builds products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck.

What you will do

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine l%hirify_global%g lifecycle.
Collaborate with other machine l%hirify_global%g engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results.
Ensure scalability, reliability, cost efficiency, and ease of use of the machine l%hirify_global%g platform.
Contribute to evaluating and adopting new technologies and tools to enhance our machine-l%hirify_global%g capabilities.
Set examples of operational excellence.

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
4+ years of industry machine l%hirify_global%g experience and excellent software engineering skills.
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch.
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI.
Experience with LLM Ops, foundation model APIs, and AI engineering.
Familiarity with data pipeline and workflow management tools.
Strong communication and collaboration skills.
Passion for l%hirify_global%g and staying updated with the latest machine l%hirify_global%g and platform engineering industry trends.

Culture & Benefits

The team is diverse not only in background and experience but also in perspective.
Strive to create a culture of belonging.

Senior Platform Machine Learning Engineer (AI)