Top Machine Learning Jobs

As a Senior Machine Learning Engineer, you will design, build, and productionise ML models, collaborating with teams to solve business challenges and ensure code quality through testing.

The role involves leading AI/ML solutions for FP&A, mentoring junior staff, collaborating across teams, and conducting statistical analyses.

As an Applied AI Modeling Lead, you will develop deep insights using natural language processing and machine learning, coaching junior team members, and contributing to product lifecycle.

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

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.

Manage end-to-end machine learning lifecycle, research techniques, mentor team members, and communicate technical concepts to stakeholders.

The Senior Machine Learning Engineer will lead MLOps efforts, design services, integrate data streams, and improve ML tooling for detecting financial crimes.

The Senior Applied ML Scientist develops generative AI solutions, integrating ML models into platforms and solving production ML challenges to enhance customer experiences.

The role involves applying machine learning techniques to solve complex business challenges at JPMorgan Chase, collaborating with teams to develop and deploy solutions.

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

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

The Senior Machine Learning Modeler will develop scalable ML solutions to detect financial crimes, working globally with various stakeholders.

The role involves designing, implementing, and optimizing machine learning models, collaborating with teams to develop scalable solutions, and enhancing customer experiences.

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.

Lead AI and machine learning applications to enhance user safety, mitigate bad actors, and remove violating content on Hinge.

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 Senior Principal Machine Learning Engineer, you'll lead the development of machine learning algorithms, integrate AI functionalities across products, and mentor junior engineers while ensuring efficient collaboration across teams.