Top Machine Learning Engineer Jobs

Lead AI/ML Engineer responsible for designing, developing, and deploying AI solutions, collaborating with teams, managing projects, and mentoring engineers.

Seeking a Principal AI/ML Engineer to lead generative AI and machine learning projects, design architectures, build models, and optimize performance in healthcare.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

Design and implement ML-powered features, optimize algorithms, and collaborate cross-functionally to elevate the ML platform and enhance user experiences.

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

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

Design, develop, and deploy machine learning models and algorithms, collaborate with teams to integrate AI solutions, and mentor junior engineers.

The role involves architecting and delivering AI and ML solutions focused on NLP, OCR and efficient automation in healthcare workflows, while mentoring team members and solving complex problems.

The Principal Machine Learning Engineer will develop ML algorithms and optimize performance on ARM computing platforms, collaborating across hardware, software, and ML algorithms, while focusing on performance, power, and area.

As a Lead AI/ML Engineer, you'll design and implement AI systems to improve patient care, leveraging cutting-edge technologies and leading a team to achieve project goals.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

The Machine Learning Engineer Senior will design and develop ML algorithms to enhance analytics and decision-making, optimizing model performance, and ensuring reliability and data quality.

The role involves designing and optimizing large-scale multimodal AI models, conducting applied research, and collaborating with cross-functional teams to deliver impactful member value at WHOOP.

The Staff Machine Learning Engineer will design backend software components, ensuring platform performance and reliability, while integrating GPU hardware and leading large initiatives within GM's AI ecosystem.

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

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.

As a Distinguished Machine Learning Engineer, you'll lead teams in developing and implementing scalable ML applications, mentor engineers, and drive innovation in the financial sector.

The Machine Learning Engineer role focuses on utilizing machine learning techniques to enhance team productivity and develop software solutions. It involves working collaboratively to support various projects.

Lead the design, implementation, and evolution of the ML stack for ad ranking and optimization, architecting distributed ML systems and collaborating across teams.