Top Machine Learning Engineer Jobs

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead the GenAI platform's quality and reliability efforts for Rovo Chat, focusing on evaluation, observability, and cross-team collaboration to improve outcomes.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

Develop machine learning models to detect and reduce fraud within Block's ecosystems, while collaborating with various teams to implement solutions.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

Develop ML models to detect fraud, collaborate with teams to deploy solutions, and improve ML processes while mentoring teammates.

This role involves developing ML models for Hinge, collaborating with teams, deploying models, and optimizing systems for performance and cost.

Lead ML initiatives, advancing customer support experiences through AI. Drive R&D for chatbot architectures and deploy ML models for effective support tools.

Lead end-to-end ML projects, partnering with teams to drive ML strategies, focusing on generative AI, and developing tools for customer support.

Lead the design, development, and implementation of machine learning applications, providing technical expertise and mentoring while delivering data-driven solutions.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The role involves designing ML models, research, improving ML capabilities, mentoring engineers, and managing data at scale utilizing cloud platforms.

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

As a Senior AI/ML Engineer, lead the design and implementation of AI systems, mentor a team, and drive projects from concept to delivery. Collaborate with cross-functional teams on healthcare-related AI solutions, ensuring quality and innovation in model development.

The role involves developing ML systems to detect abusive content and spam, creating detection pipelines, and integrating advanced AI methods for fraud prevention in collaborative workspaces.

As an AI/ML Engineer, you will design, develop, and optimize machine learning models and data pipelines, focusing on NLP tasks in financial services. You'll collaborate with teams, communicate effectively, and utilize cloud platforms for AI/ML deployment.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

As a Senior Staff Machine Learning Engineer, you'll develop AI/ML solutions, collaborate cross-functionally, and enhance customer experience through conversational AI and data processing.

Lead the development of production-grade ML systems, aligning technical roadmaps with company priorities, mentoring ML engineers, and ensuring ethical use of ML/AI.

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.