Top Machine Learning Jobs

Develop and implement ML models that address customer data analysis needs, working collaboratively with Oden's teams and customers to drive solutions.

Interns will gain client-facing experience, design data models, optimize strategies in digital technologies, and develop machine learning solutions.

Lead the strategy, design, and delivery of fraud risk models, partnering with stakeholders and managing a high-performing ML engineering team.

The Senior Machine Learning Engineer will develop advanced ML algorithms, train models, and collaborate with diverse teams to enhance AI functionality across Atlassian products.

As a Senior Machine Learning Engineer, you will lead the ML lifecycle, design feature pipelines, optimize models, and mentor other engineers.

Lead the development of machine learning models and applications, collaborating with Agile teams, optimizing systems, and ensuring high performance while mentoring junior engineers.

As a Senior Machine Learning Engineer, you'll design, build and deploy ML applications, collaborate with cross-functional teams, monitor production models, and utilize advanced ML techniques and cloud technologies.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Develop and optimize machine learning models, preprocess datasets, collaborate on model deployment, conduct tests, and stay updated on advancements.

Join Phonic as a Machine Learning Research Engineer to develop scalable infrastructure for training and deploying audio models, focusing on performance and reliability.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

As a Senior Machine Learning Data Engineer, you will analyze data, develop predictive models, manage data infrastructure, and collaborate across teams to enhance autonomous vehicle systems.

Develop ML force fields for life and materials sciences, managing data sets, improving software accuracy, and communicating results with the team.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

Lead the design, development, and implementation of machine learning applications, focusing on architecture, model training, and deployment using emerging technologies.

As a Senior Machine Learning Engineer, you'll design, build, and maintain machine learning models and applications, ensuring high availability and performance while collaborating with Agile teams.

The Senior Machine Learning Engineer will build ML models, enhance 3D dental platforms, research SOTA methods, and implement MLOps practices.

The Senior Machine Learning Engineer will design, deploy, and validate ML systems, mentor teams, and integrate models into infrastructure while driving improvements through experimentation.

Lead a team of ML engineers in developing advanced personalization systems. Balance technical leadership with hands-on model development, focusing on system architecture and improvements.

Develop and implement AI/ML solutions for healthcare claims processing, collaborating with data scientists to enhance system capabilities and automation.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

The role involves implementing machine learning solutions for safety systems, building large-scale models, and ensuring production readiness while collaborating with cross-functional teams.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

Develop and apply ML methods to create psychological tools, collaborating with experts, building data pipelines, and integrating systems into real-world applications.

As a Senior Staff Machine Learning Engineer, you will design and implement infrastructure for AI workloads, collaborate with teams to ensure system performance, and contribute to software engineering best practices while mentoring colleagues.