Staff Machine Learning Platform Engineer

EarnIn, a pioneer in earned wage access, is seeking a Staff Machine Learning Platform Engineer to join our team in Palo Alto. As one of the first innovators in this space, we're passionate about creating products that offer real-time financial flexibility for those living paycheck to paycheck. Our app has been downloaded over 13 million times, providing access to $15 billion in earnings.

In this role, you'll be at the forefront of our transformative investments in machine learning platforms and algorithms. You'll design, build, and maintain the ML platform that supports our entire machine learning lifecycle, working closely with other ML engineers to optimize processes and ensure reproducibility. Your expertise will be crucial in ensuring the scalability, reliability, and cost-efficiency of our ML platform.

We're looking for someone with 5+ years of industry machine learning experience, strong programming skills in Python, and familiarity with ML frameworks like TensorFlow or PyTorch. Experience with cloud ML platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI is essential. You'll also need strong communication skills and a passion for staying updated with the latest trends in ML and platform engineering.

At EarnIn, we value diversity and strive to create a culture of belonging. We offer a competitive salary range of $272,700 - $333,300, plus equity and benefits. This is a hybrid position, requiring in-office work 2 days a week in Palo Alto.

Join us in shaping the future of financial services and make a real impact on people's lives. If you're ready to take on this challenging and rewarding role, we'd love to hear from you!