Top Machine Learning Jobs

The Principle Machine Learning Engineer will develop and deploy a knowledge graph, manage large datasets, build APIs, and utilize AI for product enhancements while mentoring team members.

The Head of Machine Learning and AI will lead teams, define strategies, manage ML/AI initiatives, and foster collaboration to enhance product delivery and decision-making.

You will build AI applications to enhance small business efficiency, mentor engineers, and collaborate directly with Gusto's co-founder.

As a VP Machine Learning Scientist in NLP, you'll develop advanced models, collaborate across teams, and lead machine learning initiatives to enhance business productivity and decision-making.

As a Sr. Machine Learning Engineer, you'll lead analysis of datasets, develop ML models, manage ML Ops, and enhance customer products.

The Sr Staff AI Software Engineer will leverage AI technologies to improve payroll processes at Gusto, collaborating with various teams to create innovative solutions.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.

Develop machine learning models and algorithms, optimize features for customer experience, and build scalable data pipelines in a collaborative environment.

The Machine Learning Engineer II develops scalable ML systems, optimizes machine learning models, collaborates with teams, and implements features to enhance customer experiences.

The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.

As a Machine Learning Scientist, you'll design and deploy advanced machine learning solutions, particularly in NLP, while working with interdisciplinary teams.

As a Machine Learning Software Engineer, design, develop, and deploy AI/ML solutions, ensure model reliability, and optimize performance for NLP applications while collaborating with cross-functional teams.

The Machine Learning Scientist will develop advanced ML models for NLP and analytics, collaborate with teams, and drive initiatives in machine learning applications.

The Senior Machine Learning Engineer will manage AI/ML projects, develop models for ad-serving, collaborate with teams, and mentor juniors.

Lead a team of Machine Learning Platform Engineers, driving MLOps practices and developing machine learning solutions, ensuring integration and automation.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

The role involves leading a team to create innovative technology focused on artificial intelligence and natural language processing, aiming to transform digital communication.

Lead the development and implementation of machine learning solutions, fostering a high-performance team while driving significant business impact across the organization.

As a Principal Machine Learning System Engineer, you will develop infrastructure for ML models, tackle architectural challenges, and lead projects at Atlassian's Central AI team.

Design and scale ML models for materials synthesis using active learning and Bayesian optimization. Collaborate across teams to innovate methods and drive material discovery.

Develop and implement machine learning models and infrastructure for personalized customer experiences, collaborating with various teams to optimize the platform.

As a Machine Learning Engineer, you will focus on active learning, anomaly detection, deep networks, and predictive modeling while collaborating with a team to advance mobility solutions.

Join Nextdoor's machine learning team to build and deploy ML models for real-time decision making in products, collaborating closely with product and data science teams.

You will build and deploy ML models, analyze datasets, and collaborate with teams to enhance product experiences. The role involves creating foundational machine learning patterns and iterating on model performance based on live experiments.

Lead AI research and development, focusing on machine learning solutions, collaborating with teams, and developing product strategies for advanced R&D projects.