Top Machine Learning Engineer Jobs

As a Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

As a Machine Learning Engineer, you will develop models for computer vision and 3D data, collaborate with teams, and maintain code integrity.

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The role involves developing AI solutions for automotive applications, focusing on machine learning techniques for perception, planning, and prediction tasks.

The role involves building AI solutions for logistics, focusing on designing production-grade systems, problem-solving, and technical ownership without people management responsibilities.

As a Senior AI/ML Engineer at SumUp, you will develop and deploy AI-driven solutions, manage ML infrastructure, and collaborate across teams to enhance customer experience and automate support services.

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile apps, collaborating with cross-functional teams to enhance user experiences.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Lead the development of a real-time recommendation engine in Ad Tech, optimizing machine learning solutions for high availability and low latency while mentoring engineers and collaborating with cross-functional teams.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves technical leadership in ML for pricing and revenue, including model development, experimentation, and ensuring operational reliability with a focus on business impact.

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

As a Full-Stack ML Engineer, you will develop backend services, data pipelines, and customer-facing UIs while leveraging ML. You'll manage the software lifecycle and write code in Python and Typescript.

Design, build, and scale core infrastructure for machine learning models, manage production systems, and implement best practices in MLOps.

Lead development of AI/ML systems for real-time applications across various industries. Responsibilities include data analysis, system architecture, developing models, mentoring, and collaborating with engineers.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

As an ML Engineer, you'll deploy models and create tailored AI solutions for clients, ensuring impactful integrations and customer success.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As an ML Engineer, you will design sklearn-compatible APIs, manage PyTorch serialization, build preprocessing pipelines, and enhance developer experience in the tabular model ecosystem.

As a Staff Machine Learning Engineer, you will design and implement scalable ML systems, collaborate with teams, optimize models, and lead best practices in ML engineering.

The Senior Machine Learning Engineer will develop and maintain high-performance ML systems, enhance MLOps capabilities, and collaborate with cross-functional teams to improve marketplace performance.