Top Machine Learning Jobs

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

Conduct research and develop machine learning models for financial contexts, focusing on LLMs and deep learning applications. Collaborate to integrate solutions into trading strategies.

The Biomedical Machine Learning Innovation Scientist will lead AI applications in drug discovery, collaborate with research teams, ensure robust AI models, and promote innovation across the organization.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

The Senior ML Engineer for Perception will manage the end-to-end pipeline of ML perception models, focusing on design, optimization, and deployment for real-time applications in vehicles.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

As a Senior Machine Learning Engineer, you will design and implement ML applications, optimize models, and collaborate in an Agile environment to solve business challenges using machine learning techniques.

As a Senior Machine Learning Engineer at Capital One, you'll design, build, and maintain ML models and infrastructure, collaborating with teams to optimize solutions and ensure best practices in deployment and governance.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

Lead innovation in machine learning recommendations, mentor engineers, and collaborate with teams to enhance user experiences on Pinterest. Oversee large-scale ML systems and deliver strategic results.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Lead the development and deployment of AI and machine learning models, mentor junior data scientists, and collaborate with cross-functional teams to align solutions with business goals.

As an Open-Source Machine Learning Engineer, you'll improve the ML ecosystem using existing libraries and engage with the community, enhancing accessibility to AI tools.

Assist in developing AI technologies by implementing algorithms, building systems, debugging software, and participating in testing sessions. Collaborate with teams on project goals and documentation.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

Develop innovative machine learning algorithms for protein modeling and design, collaborating with experimental biologists and refining predictions.

As an Applied Machine Learning Engineer, you'll design and optimize LLM models and pipelines, improve permitting workflows, and manage the ML lifecycle.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

The role involves leading AI/ML initiatives, developing machine learning models, collaborating with various teams, and deploying solutions to solve business problems.

The Senior Machine Learning Engineer will propose and develop innovative solutions using ML and computer vision, working with AI techniques in a defense technology setting.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Lead Machine Learning Engineer will design, develop, and deploy AI software components, collaborate with cross-functional teams, and enhance machine learning models and infrastructure.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure model performance at scale.

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.