Top Machine Learning Jobs

The Machine Learning Researcher will develop advanced algorithms, analyze large datasets, and implement machine learning solutions to enhance quantitative trading strategies.

As a Machine Learning Engineer III at Chewy, you will design, develop, and deploy machine learning models, work with optimization and simulation algorithms, and collaborate with cross-functional teams. You will create backend frameworks and build pipelines for deploying models in cloud environments, primarily using AWS. The role also involves providing mentorship and documentation of algorithms.

As an Applied AI/ML Data Scientist, you will develop and deliver Generative AI products, bridging scientific research with software engineering. Collaborate with engineering teams and tackle challenges involving AI technologies, while implementing scalable applications and aligning with business goals to drive impact.

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.

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

The role involves designing and developing machine learning techniques for automotive applications, mentoring junior members, and collaborating on product development.

The Sr. Software Engineer in Machine Learning will develop recommendation algorithms, optimize complex ecosystems, and work with big data to enhance user experience.

The Sr. Software Engineer will develop Tinder's machine learning infrastructure, mentor junior staff, and drive innovation in ML systems across the organization.

Lead modeling efforts for Tinder's recommendation system or Trust and Safety experiences, designing algorithms with machine learning techniques to enhance user experience and business outcomes.

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.

The role involves educating ML practitioners on optimizing workloads, creating technical content, and engaging with strategic tech partners to enhance AI and ML implementations.

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.

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

As an Applied Machine Learning Engineer, you'll develop and implement machine learning algorithms, collaborate across teams, and improve AI functionalities in Atlassian products.

Conduct AI research in video embedding, multimodal language models, and intelligent agents, collaborating with team members and leading projects.

The Machine Learning Operations Engineer II enhances and maintains the cloud-hosted ML platform, writing APIs, deploying models, and collaborating with data scientists.