Top Hybrid Machine Learning Engineer Jobs

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision, testing algorithms, and transitioning them to production. Responsibilities include tracking advancements in ML, conducting experiments, and writing maintainable code.

Analyze and evaluate machine learning algorithms, develop advanced algorithms for modeling, and collaboratively transition them to software applications, while engaging with stakeholders and researching innovative solutions.

Join Moveworks as a Senior Machine Learning Engineer to enhance a search-based question answering platform by developing and optimizing ranking features, evaluating performance metrics, and collaborating across teams.

The Staff Machine Learning Engineer will design, build, and optimize scalable ML infrastructure for training and deploying large language models, collaborating with cross-functional teams to enhance AI capabilities.

Lead a team of search relevance engineers to improve AI-powered enterprise search applications, focusing on ranking and relevance. Oversee the development of machine learning models, manage projects, and collaborate with cross-functional teams to enhance search quality.

The role involves developing and executing machine learning models for Bitcoin risk monitoring, collaborating across teams, and improving risk solutions.

The Principal Machine Learning Engineer will drive technical roadmaps, optimize video recommendation systems, lead technical initiatives, and collaborate on machine learning strategies with cross-functional teams, ensuring scalability and performance.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

The role involves partnering with teams, leveraging technologies to analyze data, building machine learning models, and translating complex work into business outcomes.

The role involves developing fraud protection models for Business Cards and Payments by analyzing data, collaborating with teams, and implementing machine learning solutions.

Responsible for designing and developing AI/ML product features and infrastructure to empower intelligent business decisions and operational excellence for customers.

The Senior Software Engineer - Machine Learning at Celonis focuses on designing and developing AI/ML product features and customer solutions, ensuring high quality and scalability while collaborating with various teams.

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

Design and deploy machine learning models to combat financial crimes while collaborating with stakeholders and maintaining compliance with regulations.

The role involves enhancing ML models and architectures for pricing and valuation systems. Responsibilities include deploying AI across various data types and collaborating with cross-functional teams to improve model training pipelines.