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Staff Machine Learning Engineer – Applied ML
| Company | EarnIn |
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| Location | Mountain View, CA, USA |
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| Salary | $272700 – $333300 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 7+ years of industry machine learning experience and excellent software engineering skills.
- Strong programming skills in Python, with familiarity with machine learning (ML) frameworks such as TensorFlow or PyTorch.
- Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI.
- Familiarity with data pipelines and workflow management tools.
- Strong communication and collaboration skills.
- Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering.
Responsibilities
- Design, build, and maintain the ML 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 the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities.
- Provide technical guidance and mentorship to junior team members.
- Set examples of outstanding operational excellence. Be the catalyst of step-jump changes.
Preferred Qualifications
No preferred qualifications provided.
