Top Machine Learning Jobs

The Machine Learning Engineer will build and scale ML models, collaborate with cross-functional teams, and improve real-time recommendations for Stitch Fix's clients.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

Develop and maintain scalable AI/ML architectures, collaborate to integrate solutions into products, and evaluate technologies for optimal performance.

The Machine Learning Engineer will develop, deploy, and optimize ML models, manage infrastructure, and collaborate with teams to improve AI solutions in defense logistics.

The role involves implementing machine learning features at Nooks, with responsibilities including training production models and aligning technical strategies with performance and cost.

The Staff Machine Learning Engineer will lead the development of product personalization using advanced machine learning techniques. They will mentor team members, collaborate with cross-functional partners, and shape the machine learning vision at StubHub while ensuring impactful deployment of algorithms.

Lead the vision and execution strategy for ML & AI personalization at StubHub, mentoring a team of Machine Learning Engineers and collaborating with cross-functional stakeholders.

As an ML Scientist at Wispr, you'll develop advanced voice interfaces, focusing on ML personalization and enhancing speech models using fine-tuning and reinforcement learning techniques.

The ML Engineer will develop voice interfaces, handle ML inference architecture, and enhance speech models for user personalization. Responsibilities include prototyping features and optimizing systems for high-volume requests.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.