Money at the speed of you.
mobile payments • financial services • Fintech • payroll • financial health
August 6
🏢 In-office - Bay Area
Money at the speed of you.
mobile payments • financial services • Fintech • payroll • financial health
• Design, build, A/B test, and maintain machine learning models to power EarnIn products. • Continuously optimize the quality of our machine learning models through state-of-the-art machine learning techniques such as deep learning, sequence models, large language models, and recently published work. • Champion scientific rigor in data-driven decision-making. • Work closely with ML platform engineers to optimize ML tooling and processes to ensure stability and reproducibility. • Contribute to evaluating and adopting 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.
• 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. • Expertise in the breadth of machine learning modeling techniques such as tree-based models, deep learning techniques, sequence models, and large language models. • Strong programming skills in Python, and familiarity with ML frameworks such as TensorFlow or PyTorch. • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI. • Strong communication and collaboration skills. • Passion for learning and staying updated with the latest machine learning industry trends.
• Plus equity and benefits
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