Top Machine Learning Jobs

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Join Bot Auto as a Senior Machine Learning Engineer focused on advancing autonomous driving through machine learning technologies, collaborating on various projects and lifecycle management of ML solutions.

Lead definition and implementation of the companys ML strategy and infrastructure. Build end-to-end production ML systems (data pipelines, training, evaluation, serving), own data strategy and feedback loops, integrate ML with product/backend, write production-quality code, and recruit/mentor the ML team as it scales.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

The ML Engineer will optimize large-scale model training pipelines, improve distributed training strategies, build robust infrastructure, and collaborate on training techniques and performance metrics.

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.

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.

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

Design and deploy machine learning models for creating HD maps, utilizing advanced ML techniques and collaborating with other teams to deliver reliable solutions.

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

Lead and grow a machine learning engineering team to prototype, fine-tune, and deploy LLMs (including RAG/agent frameworks), integrate third-party AI APIs, build scalable real-time ML APIs, and collaborate with product and engineering to productionize AI solutions.

Lead the design and development of advanced recommendation systems and machine learning pipelines, optimizing performance for millions of users.

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

Intern will collaborate with data scientists and ML engineers to develop machine learning models and improve data pipelines for retail media insights.

The AI and Machine Learning internship involves software design, coding, and debugging for automated inspection. Responsibilities include assessing application ideas, developing algorithms, and collaborating in teams.

Lead the development and operationalization of machine learning systems at Taco Bell. Manage a team, optimize models, and ensure performance and reliability in real-time applications.

The Machine Learning Engineer will develop and maintain scalable ML systems, collaborate across teams, and innovate solutions for real-time applications to enhance customer experiences.

As a Staff Machine Learning Engineer Tech Lead, you'll collaborate with teams to enhance dataset quality, develop ML models, and improve data selection methodologies.

The Machine Learning Engineer will develop and deploy software for government projects, build data pipelines, and manage the data lifecycle.

As a Staff Machine Learning Engineer, optimize card pricing models, lead ML lifecycle, collaborate with experts, and enhance predictive features.

As a Machine Learning Engineer, you'll develop AI systems, focusing on autonomous agents, ML pipelines, and production-grade solutions while collaborating with cross-functional teams.

The Sr. ML Engineer will enhance Visa's AI platform across various environments, optimize code, develop solutions, and build high-performance systems using cloud technologies and machine learning techniques.

The Machine Learning Engineer will develop and deploy ML models for personalized health programs, optimize recommendation systems, and establish best practices for ML lifecycle management.

As a Machine Learning Engineer, you will design core platforms for autonomous agents, engineer data systems, build tools, and enhance product experience while collaborating with data scientists to deploy advanced models.

Lead initiatives to enhance the ML platform, mentor junior engineers, build scalable ML models, and ensure code quality while driving innovation in a startup environment.