Senior Platform Machine Learning Engineer
Mountain View, US
About EarnIn
EarnIn is a pioneer of earned wage access, building products that deliver real-time financial flexibility for those with unique needs. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We have an experienced leadership team and world-class funding partners. We are growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
Machine learning is crucial for every financial service EarnIn provides. We are investing 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.
The base salary range for this full-time position is $232,200 to $283,800, plus equity and benefits. This is a hybrid position in Mountain View and will require in-office work 2 days a week.
WHAT YOU'LL DO
- 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 and optimize model training and deployment processes.
- 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.
WHAT WE'RE LOOKING FOR
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience.
- 4+ 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.
EarnIn is an equal opportunity employer and welcomes applicants from diverse backgrounds. We do not discriminate based on race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, or any other basis protected by local, state, or federal laws.
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