Top Remote Senior Level Machine Learning Jobs in Dallas, TX

Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work for Cash App & Afterpay. Partner closely with product leaders to incorporate machine learning and AI into new features and enhance existing products. Grow, lead, and mentor a team of machine learning modelers, scientists, and engineers. Contribute to strategic plans and shape the company's ML and AI strategy.

This role is part of the ML team and will be deeply embedded within the Underwriting and Credit product team. The Senior Machine Learning Engineer will work on building and integrating ML solutions for evaluating customer cash flow risk and identifying opportunities for growth in the customer base. They will collaborate with cross-functional teams to see their solutions through to production.

Design, build, and launch credit products and features for the Underwriting & Credit organization at Cash App. Collaborate with cross-functional teams to implement user-friendly experiences and unlock new machine learning applications. Mentor and support fellow engineers to enhance development capabilities.

As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.

As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.

Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.