Top Machine Learning Jobs

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.

As a Lead Machine Learning Engineer at Root, you'll build scalable ML systems, partner with data scientists, and improve operational practices for customer lifetime value modeling.

Design and implement reinforcement learning algorithms for robotics, conduct experiments, optimize models, and collaborate with cross-functional teams.

The role involves optimizing machine learning models for autonomous driving by implementing performance techniques and collaborating with cross-functional teams on architectural decisions.

Design, develop, and deploy production-grade AI/ML models and scalable architectures. Lead model training, validation, deployment, monitoring, and cross-functional integration. Conduct research, document methods, and share knowledge to drive business impact and operational reliability.

Lead inference acceleration and GPU-parallelism optimizations (TP, SP, PP); implement high-performance CUDA/NCCL kernels; deploy videogen and LLM models to production; collaborate with researchers, conduct code reviews, mentor engineers, and optionally improve training efficiency and resource utilization.

Design, build, and own ML/LLM systems for operations: forecasting, schedule risk detection, document extraction, and agentic systems. Handle end-to-end model lifecycle, deploy and evaluate in production, and integrate predictions into operational tools.

As a Fraud ML Engineer, you will ensure authentic human data is processed by building detection systems using adversarial ML techniques and managing backend systems.

As a Senior ML/AI Engineer, you'll build an AI operational backbone for a new consumer membership app, shipping AI-native features for millions of users.

Develop and translate advanced ML models for heart disease diagnostics, collaborate with cross-functional teams, conduct research, and manage projects.

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

The role involves designing, developing, and deploying machine learning models for healthcare solutions, optimizing data processing pipelines, and collaborating with cross-functional teams to enhance patient care.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

The Junior AI/ML Engineer will deliver machine learning projects, handle Python programming, and learn from a senior team member, focusing on real impact initiatives.

You'll lead the development of AI-driven systems for a dating platform, focusing on personalized matching algorithms and voice interactions. Responsibilities include designing ML pipelines, deploying models, and conducting experiments to improve user experience.

The role involves developing, training, and deploying machine learning models, building data pipelines, and collaborating with teams for integration and performance optimization. It supports the ML lifecycle from data collection to monitoring.

Develop, design, and maintain AI/ML software solutions; collaborate with engineers and leadership; build tools to analyze large-scale data; debug, profile, optimize, and test software; create documentation and user support materials; leverage modern LLM tools to accelerate development.

Design, develop, and maintain AI/ML software solutions. Collaborate with engineers and stakeholders to build tools for large-scale data analysis, perform debugging, testing, profiling and optimization, and produce technical documentation and user support materials.

The ML Engineer will build and deploy machine learning models to optimize operations in manufacturing, including demand intelligence and production monitoring.

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

Design and improve ML training frameworks, modularize experiments, adapt fire-hazard detection algorithms for varied electrical environments, build scalable pipelines for high-frequency sensor data, and develop dashboards and tooling to monitor model performance and drift while collaborating across product, data science, and fire safety teams.

As a Senior ML Engineer, you'll own ML-driven features from modeling to deployment, drive innovation in generative AI, and mentor junior members.

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.

Develop and deploy manufacturing intelligence systems and machine learning models to enhance operational efficiency in production environments, collaborating across teams to achieve impactful solutions.

As an AI/ML Engineer, you'll implement machine learning techniques, build AI models, and support national security applications, collaborating with various teams.