Top Machine Learning Engineer Jobs

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Lead the development of AI solutions, manage prompt-based models, oversee data processing workflows, and collaborate with teams to enhance decision-making processes in financial services.

As a Senior Applied AI/ML Associate, you'll design AI solutions, analyze data, and enhance client interactions through ML techniques, while collaborating with teams to implement models.

The role involves developing AI solutions using Python, applying machine learning techniques, and collaborating with stakeholders to solve business challenges. It requires advanced analytical skills and experience in natural language processing and deep learning.

This role involves leading research and development in ML and AI, designing algorithms, developing language models, and enhancing human-AI systems. Requires collaboration with interdisciplinary teams and staying updated with industry trends.

Lead the development of ranking and relevance models, design ML systems for patient-provider matching, and mentor junior team members.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

Lead the development and implementation of machine learning algorithms, guiding teams and ensuring effective AI integration across Atlassian products.

The ML Engineer will manage the infrastructure for training ML models, optimize performance, and ensure scalability for large datasets in collaboration with research teams.

Design, build, and maintain scalable data pipelines for machine learning; optimize performance of computing clusters; collaborate with research teams for model training.

The Machine Learning Engineer will build and deploy ML systems, collaborate with teams, and optimize recommendation models to enhance user experiences.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Machine Learning Engineer will deploy models, improve existing systems, collaborate with teams, and work with large datasets for government clients.

Lead the Teamwork Graph team in building and deploying the knowledge graph, processing data, and mentoring team members while collaborating across products.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The Staff Machine Learning Engineer will lead ML model development, deployment, and optimization, mentoring team members while collaborating with cross-functional teams to enhance business strategies.

Lead the development and deployment of machine learning models for sponsored ads at Chewy. Collaborate with product leaders, mentor junior scientists, and publish research to enhance advertising solutions.