Top Machine Learning Jobs

The AI Lead Software Engineer will collaborate with data scientists, develop ML models, and integrate them into applications. Responsibilities include optimizing performance and acting as a technical liaison across teams.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

As a Machine Learning Engineer in the Notifications team, you'll design and implement ranking and recommendation systems using LLMs, develop experiments, and collaborate with research teams to improve notification relevance and user experience.

Manage a team of Machine Learning Engineers, architecting systems for content integrity, and ensuring effective model training and deployment.

Lead and mentor a team of machine learning engineers, drive ML projects, and collaborate across departments to enhance product features and model improvements.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

Design and implement scalable machine learning pipelines, mentor junior team members, ensure deployment standards, build CI/CD pipelines, and establish best practices for ML systems.

The role involves designing and implementing reinforcement learning pipelines for AI systems, integrating organizational data, and collaborating with product teams to enhance AI functionalities.

The Senior Principal, ML/AI will lead cross-functional teams in developing and implementing ML/AI solutions, driving significant business impact through innovative technical leadership over a defined roadmap.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

Support the transition to AI technologies by training machine learning models and developing AI-based systems for collection processes.

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.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

The Senior ML/AI Software Engineer will build analysis algorithms and maintain evaluation dashboards for GM's autonomy stack performance, leveraging large datasets and statistical methods.

As a Machine Learning Systems Engineer, you will build and scale AI infrastructure, leading projects and mentoring junior engineers, while focusing on the ML project lifecycle and system architecture.

The Senior Machine Learning Engineer designs, builds, and maintains ML models and data solutions, collaborating with cross-functional teams to optimize performance and deployment.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

The role involves designing machine learning models for an advertising platform, improving ad efficiency, mentoring junior developers, and collaborating with teams.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

As a Senior Machine Learning Engineer, you will design and implement scalable data and ML pipelines, collaborate with data scientists, and maintain systems for fraud and payment risk management.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Machine Learning Engineer, you'll design and implement ML pipelines, optimize models, collaborate with various teams, and document processes, all focused on delivering innovative analytics solutions.