Top Machine Learning Engineer Jobs

The Staff Machine Learning Engineer will implement ML models, design neural networks, maintain scalable code, and lead cross-functional collaborations in AI development.

Lead design and delivery of large-scale ML and AI systems for Airbnb Community Support products. Develop and productionize LLM-based solutions (fine-tuning, RAG/search, evaluation automation, feedback learning, guardrails), collaborate cross-functionally with product and design, and shape early-stage AI initiatives through to production to improve customer support experiences.

Design and ship production-grade agentic LLM systems (chat/voice assistants) for customer service. Build, evaluate, and optimize LLMs and MLOps pipelines, collaborate with product and design, and advance RAG, fine-tuning, RLHF, multi-agent orchestration and evaluation tooling.

Design, build, and deploy machine learning software and data pipelines for production government environments. Integrate and optimize distributed/cloud services, ensure code quality, lead reviews, mentor teammates, and engage directly with clients.

As a Machine Learning Engineer, you will develop, deploy, and maintain ML models, collaborating with data scientists and engineers to deliver AI solutions for national security.

Design, build, and deploy production-ready machine learning models for cyber threat detection and hunting. Analyze security logs (endpoint/network), reduce false positives, integrate ML into CI/CD pipelines, and leverage cloud and streaming data platforms to accelerate near real-time detection and defense.

Design, build, deploy, and operate large-scale ML models and real-time pipelines for payments and fraud detection. Propose features, integrate signals, collaborate cross-functionally, ensure production-quality engineering, mentor junior engineers, and drive product and cost-saving innovations.

The Senior Vision AI Engineer will develop and deploy computer vision and machine learning models, create optimized vision pipelines, and mentor junior engineers, focusing on industrial applications.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Design, build, and operate scalable, reliable ML inference systems, backend services, and data pipelines for health features. Translate research prototypes to production, ensure monitoring/validation within a quality-managed SaMD environment, provide technical leadership, and participate in on-call rotations to maintain uptime and reliability.

Design, train, test, deploy, and maintain machine learning models for defense-focused solutions. Collaborate with data engineers, data scientists, and product teams to implement deep learning, computer vision, and generative AI use cases and support clients across the DoD market. Maintain model development and data handling pipelines.

Design, train, test, deploy, and maintain ML models for defense customers. Collaborate with data engineers, scientists, architects, and product owners to implement deep learning, computer vision, and generative AI solutions and guide AI strategy for mission-critical systems.

The Machine Learning Engineer will develop and implement ML algorithms for improving communication system performance, collaborating on various use cases and data analysis.

Build and maintain enterprise-scale ML/LLM infrastructure on Azure: create automated, secure CI/CD pipelines, provision resources with Terraform, enable real-time inference and RAG pipelines, and collaborate with data science and product teams to productionize generative AI solutions.

Join Ello as an AI/ML Engineer to create AI-driven educational products, enhance learning experiences, and analyze educational outcomes through machine learning.

Design and build machine learning platforms and pipelines, lead model lifecycle infrastructure development, and mentor junior members while promoting best practices in ML operations.

The Machine Learning Engineer will build and deploy machine learning models, collaborate with teams, and ensure effective model monitoring and compliance with data regulations.

You will implement Neural Rendering and generative models for autonomous driving, manage projects, and mentor team members in a cloud-based setting.

Design and implement end-to-end machine learning solutions, integrating models into applications while collaborating with cross-functional teams and improving model accuracy.

As a Staff Machine Learning Engineer, you will design and implement AI-driven solutions, build ML infrastructure, and lead teams to deliver scalable systems for real-time recommendations.

As a Machine Learning Engineer, you'll develop and enhance driving models, lead projects on personalized driving, and collaborate across teams to ensure system performance for automated driving.

The Machine Learning Engineer will develop advanced Deep Learning technologies for Computer Vision and SAR, focusing on object detection and model generalization. Responsibilities include researching algorithms, applying signal pre-processing, and optimizing model performance.

Lead operational efficiency advancements for Waymo's autonomous fleet by generalizing depot operations through advanced robotics and machine learning techniques.

As an ML Engineer, you'll design and implement end-to-end autonomy solutions, optimize ML models, and collaborate across teams to enhance robotics applications.

Design, implement, and scale production-grade data and ML pipelines for risk and payments. Build ETL and feature engineering workflows, productionize models, establish observability and monitoring, participate in reviews and on-call rotations, and mentor junior engineers to ensure reliable, explainable decisioning systems.