Top Machine Learning Engineer Jobs

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

Individual-contributor ML engineer who designs, prototypes, and ships AI-powered newsroom and reader-facing tools. Build and deploy production systems leveraging LLM APIs and web technologies, collaborate with journalists and cross-functional teams, create evaluation frameworks, ensure responsible AI use, and iterate on MVPs based on newsroom feedback.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

Develop and support Machine Learning models for autonomous driving, collaborating across teams and ensuring high-quality experimentation and code, with a focus on cutting-edge AI solutions.

The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

Develop and deploy data solutions, focusing on machine learning and statistical modeling. Collaborate with teams to transform data into insights.

As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.

The ML Engineer will develop and deploy machine learning models, collaborate with teams, analyze datasets, and improve model performance.

Lead the delivery of machine learning models and algorithms to solve business problems, focusing on data-driven insights primarily in sales and marketing.

The role involves designing and implementing predictive analytics systems for IoT and energy platforms, including building ML pipelines and collaborating with various teams. It requires experience in machine learning, time-series data, and strong programming skills.