Top Machine Learning Jobs

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.

As a Senior Machine Learning Engineer, you will collaborate with product managers and engineers to design and productionize machine learning models. Responsibilities include building data processing pipelines, improving model performance, conducting experiments, and maintaining code quality with tests. You will stay updated on emerging technologies and share knowledge through presentations.

The Principal Applied Scientist/Machine Learning Engineer will develop and implement machine learning models to solve business problems, design scalable ML pipelines, and lead applied ML research. Responsibilities include enhancing models and collaborating with product and engineering teams to turn business needs into practical ML solutions.

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

Lead the development of AI and machine learning models at Klaviyo, mentor team members, and align technical strategies with business goals.

As a Manager of Data Science in Consumer Identity ML at Capital One, you will lead a team in developing machine learning models to enhance customer experiences using vast data sets. You will collaborate with engineering and product teams to create scalable solutions, analyze patterns in customer behavior, and improve business outcomes in various domains such as marketing and fraud prevention.

The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.

The Machine Learning Researcher will conduct pioneering research, design and implement advanced algorithms, collaborate with teams on project strategies, publish findings in conferences, and stay updated with AI advancements.

Lead the Machine Learning Engineering team, focusing on identity verification, engineering management, technical architecture, and collaboration across disciplines to enhance safety and trust in the Cash App ecosystem.

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 the Machine Learning Engineering Identity team to develop solutions that protect identities, enhance user verification, and ensure secure financial access through effective coaching and technical leadership.

The Sr. Machine Learning Scientist will research and develop advanced ML models, collaborate across teams, and tackle complex business problems in cybersecurity and technology infrastructure.

The role involves designing ML solutions for product discovery, leveraging generative AI technologies to enhance customer experiences, while collaborating with teams to integrate models into platforms and drive strategic objectives.