Top Senior Machine Learning Jobs

The Machine Learning Engineer will apply data science and machine learning practices to solve problems, develop prototypes, and communicate insights to stakeholders in a dynamic environment.

The Senior Machine Learning Engineer will design, develop, and deploy production ML models, owning the entire ML lifecycle and collaborating with various teams to enhance product experiences and decision-making systems.

The role involves engineering and deploying AI agents, collaborating with teams on solutions, and managing data flows. The position requires deep expertise in ML technologies and frameworks.

As a Senior Applied ML Engineer at Macroscope, you will design, build, and optimize ML/AI systems, leading the AI Code Review process and ensuring integration with backend systems.

Seeking a Senior Machine Learning Engineer to develop and optimize deep learning models for computer vision, collaborating on production-ready solutions and mentoring junior engineers.

The role involves applying AI/ML techniques to develop model systems for healthcare, collaborating across teams, and conducting R&D.

Develop AI-driven cybersecurity solutions, manage ML pipelines, analyze cyber threats using LLMs, and optimize models for edge computing.

The Senior Staff Machine Learning Engineer will lead the development of GEICO's AI-driven virtual agent platform, overseeing technical design, cross-functional collaboration, strategic planning, and mentoring within the team throughout project lifecycles.

The Senior Machine Learning Engineer will develop and optimize ML infrastructure, create data pipelines, and model orchestration ensuring data quality and performance monitoring.

Design and develop retrieval systems for AI workflows at Zoom, involving machine learning, information retrieval, and multi-tenant architecture. Collaborate with teams to enhance AI capabilities across enterprise data sources.

Design and oversee the development of robust data platforms for training and evaluating ML models, focusing on autonomous driving. Collaborate with multiple teams and optimize data processing pipelines.

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

As a Senior ML Engineer, you'll build ML infrastructure, ship AI features, define evaluation strategies, and enhance model decision-making in a dynamic startup environment.

The Lead Machine Learning Engineer will design and evaluate models for autonomous driving systems, mentor junior engineers, and utilize large datasets to improve ML capabilities at May Mobility.

The AI/ML Engineer will develop scalable machine learning systems for cyber analysis, enhance existing applications, and participate in agile team activities.

The Senior AI/ML Engineer at Cooley will design, build, and maintain enterprise-scale AI/ML solutions across cloud platforms, optimize performance, and collaborate on AI implementations.

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.

This role involves developing and optimizing machine learning models for autonomy, managing datasets, enhancing training pipelines, and collaborating across teams to integrate ML solutions in autonomous vehicles and delivery robots.

As a Senior Machine Learning Engineer, you'll design and develop infrastructure and models for AI-powered applications while collaborating with teams to enhance product functionality.

The Staff ML Engineer will define and build ML capabilities, focusing on production systems, strategy, and infrastructure in a cybersecurity context.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

The Staff AI/ML Engineer will design, build, and improve AI systems for document retrieval and data extraction, work with clients, and mentor team members to establish best practices.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.