Top Machine Learning Engineer Jobs

Design, develop, and implement machine learning models and algorithms, build scalable ML pipelines, and deploy models into production to enhance services and improve customer experiences.

As a Senior MLOps Engineer, you will optimize machine learning models for performance and scalability, collaborate with R&D engineers, and implement CI/CD pipelines.

As a Senior Machine Learning Engineer, you'll enhance Moveworks' NLU and AI capabilities, improve user experiences, and develop innovative solutions using machine learning and advanced NLP techniques.

As a Senior Machine Learning Engineer, you'll enhance NLU capabilities, design algorithms, and push AI performance while ensuring responsible AI practices.

We're looking for a Research Engineer to develop ML infrastructure and data systems for medical imaging, focusing on building data pipelines and model deployment.

The Founding Engineer will design and implement ML platforms and tools, creating APIs and SDKs, while also improving customer workflows and experiences.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

Partner with sales to drive technical enterprise deals: lead discovery, design solutions, run demos and POCs, address security/compliance and integrations, build trusted technical relationships, and liaise with product/engineering to inform roadmap and support implementation and contracting.

The Sr Software Engineer will optimize and deploy ML models on embedded hardware, ensuring performance and reliability, while collaborating with cross-functional teams.

Lead the development of end-to-end driving models for ADAS systems, focusing on reinforcement learning, multi-modal sensor data, and real-time deployment challenges.

Develop and implement online mapping models and algorithms for robotics, focusing on machine learning and data management within uncertain environments.

The role involves developing ML models, evaluating technologies, collaborating with teams, and enhancing Xometry's AI capabilities.

Join Xometry as a Senior Machine Learning Engineer to develop and implement machine learning models, enhancing predictive capabilities and leading technological evaluations for innovation.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

Lead development of GenAI products, improve LLM quality, design ML pipelines, and collaborate with cross-functional teams to enhance AI solutions.

The role involves building ML tools, productionizing models, and maintaining existing platforms while collaborating with data science and engineering teams.

Develop machine learning models and infrastructure for assessing autonomous vehicle behavior. Collaborate across teams to optimize production systems and model performance.

The role involves developing neural model architectures and optimizing ML systems for performance on TPU and GPU, focusing on efficiency and scalability in autonomous driving applications.

Design, implement, and deploy on-robot and cloud-based deep learning computer vision models and infrastructure. Collaborate with hardware, kernel, QA, and DevOps teams to productionize perception systems, monitor performance, and own a perception subsystem.

The role involves deploying, optimizing, and maintaining ML-driven motion planning and control algorithms for autonomous driving, collaborating across teams to ensure reliability under performance and safety constraints.

The Senior Machine Learning Engineer will develop core ML models, manage data pipelines, and collaborate with stakeholders to deliver scalable ML solutions.

The Senior Machine Learning Engineer at Grailed will enhance personalization and recommendations, develop AI/ML solutions, and collaborate across departments for data-driven insights.