Top Machine Learning Jobs

Lead a team of engineers in creating and deploying machine learning models and algorithms. Manage the machine learning lifecycle, research and implement new techniques, mentor team members, and communicate with stakeholders. Requires a Master's or PhD in a quantitative subject, 5+ years of software engineering team management experience, and experience with scaling machine learning models in business applications.

Seeking an Engineering Leader with expertise in Machine Learning to lead teams, architect solutions, and drive innovation in Security AI. Responsibilities include team leadership, architecture design, model development, model training and evaluation, and solution development.

Join Cash App's Machine Learning team to build models for fraud detection, customer support automation, and underwriting. Work on state-of-the-art algorithms, use NLP, OCR, biometric data, and advance credit solutions. Be part of a dynamic team focused on innovation and impact.

This role is for a Machine Learning Engineer specializing in modeling for Cash App. Responsibilities include building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The company is focused on redefining the world's relationship with money through innovative financial products and experiences.

Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.

Looking for a Software Engineer focused on neural network deployment and GPU software development to join Scythe. Responsibilities include optimizing models for deployment, maintenance of evaluation tooling, collaborating with the Perception team, and more. Required skills include C++, Python, PyTorch, TensorRT, CUDA, and familiarity with Linux and AWS.

Responsible for developing and deploying novel prototypes and algorithms to solve complex problems in machine learning. Leads the design and implementation of end-to-end solutions using advanced technologies. Mentors junior engineers and provides guidance to teams. Presents technical papers at conferences and contributes to intellectual property creation.

Seeking a Senior Machine Learning Engineer to lead a team in building and scaling AI and Data products for various client use cases. Responsibilities include strategic planning, developing ML and AI products, staying updated with research advancements, implementing innovative algorithms, and ensuring data privacy compliance.