Top Machine Learning Engineer Jobs

As a Software Engineer specializing in Machine Learning, you will design and develop AI/ML product features, collaborating with various teams to create scalable solutions for customers.

The Senior Machine Learning Engineer will own the entire ML stack for the Counter Intrusion team, developing innovative solutions, training models, and optimizing algorithms for real-time applications.

Develop and deploy AI/ML models and pipelines for various applications, optimize them for performance and cost, and collaborate with teams on deployment.

Design, build, and deliver machine learning models and components. Ensure performance and monitor models in production as part of an Agile team.

The role involves designing, developing, and supporting AI and ML products, collaborating with teams to transform risk management and deliver value to customers through technology.

Lead the design, development, and integration of AI/ML architectures and systems, mentor junior engineers, and ensure compliance with industry standards.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

The role involves designing and deploying risk models, enhancing credit and fraud models, and integrating advanced ML technologies. Responsibilities include collaboration, monitoring model health, and leading operational excellence.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.

As a ML Engineer at Wispr, you will design features for a voice interface, optimize ML inference, and scale personalization of speech models.

Design and implement 3D machine learning models, process reality capture data, and integrate AI solutions in production environments for robotics applications.

As a Machine Learning Engineer Intern, you'll tackle challenges in ML including training models, optimizing inference on GPU, and documenting findings.

The role involves training and fine-tuning vision and language models, building evaluation and learning pipelines, and optimizing model performance.

The Machine Learning Engineer III will design, develop, and deploy machine learning models and algorithms, mentor junior staff, and collaborate with cross-functional teams to solve complex business problems.

Design and maintain large-scale distributed training systems, optimize performance for ML models, and improve training efficiency.

As a Research Engineer, build biological models for biomolecule design by training, testing, and deploying machine learning models, collaborating with scientists, and improving model performance through reinforcement learning.

The Machine Learning Engineer will scale core infrastructure, manage data pipelines and model evaluation, and improve benchmarking systems. Collaborate with teams to enhance AI evaluation methodologies.

Lead the development and architectural design of AI and machine learning solutions, ensuring best practices in SDLC, model optimization, and team mentorship while managing end-to-end model lifecycle.

The Machine Learning Engineer Intern will assist with planning and control systems for autonomous vehicles, focusing on ML model performance and behavior decision processes, while collaborating with experts in the field.

The Machine Learning Engineer Intern at Zoox will work on perception systems, developing algorithms for autonomous driving, collaborating with teams, and leveraging advanced machine learning models and datasets.

As an MLE Intern at Zoox, you'll create high fidelity synthetic data, develop AI models simulating road agent behavior, and enhance simulation tools for autonomous driving validation.

Lead the development of ML product infrastructure, create a scalable platform for ML solutions, collaborate with teams, and mentor new engineers.

Lightfield seeks a Machine Learning Engineer to create innovative AI experiences, collaborate on AI/ML strategy, develop product features, and recruit team members. Must have 5+ years in AI/ML and NLP.

The Machine Learning Engineer will develop intelligent features to enhance code security using LLMs, collaborate with researchers, and manage ML models on AWS.

Design and deploy algorithms for gesture detection on embedded hardware, owning the development cycle from design to optimization, while collaborating across teams.