Staff Machine Learning Engineer Jobs

Staff Machine Learning Engineer

EarnIn

Location:
United States, Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

272700.00 - 333300.00 USD / Year

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Job Description:

Machine learning is the crucial enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning platforms, algorithms, and generative AI. We seek experienced ML platform Engineers to shape and execute our vision of bringing state-of-the-art capabilities to our machine learning stack.

Job Responsibility:

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning 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 learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
Be a mentor, coach, leader and inspiration to those around you

Requirements:

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
7+ years of industry machine learning 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 learning and staying updated with the latest machine learning and platform engineering industry trends

What we offer:

equity and benefits

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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