Top Machine Learning Engineer Jobs

The Staff AI/ML Engineer will lead AI product development, ensure system health, and collaborate with teams on product features while maintaining security and compliance.

Design and build state-of-the-art speech and ML models, convert research into B2B products and APIs, optimize and scale production pipelines, collaborate cross-functionally, and maintain deployed models.

Build systems for Mercor's hiring engine, including pipelines for indexing, sourcing, scoring, and conversion. Work with ML and backend technologies.

Lead end-to-end design and delivery of Stripe Assistant's ML and agent architecture. Improve answer quality, safety, and execution for high-trust actions using LLMs, RAG, fine-tuning, and agent orchestration. Set SLOs, build evaluation and benchmarking pipelines, optimize latency/cost/reliability, and mentor engineers while collaborating cross-functionally to ship secure, observable, and scalable AI-driven features.

The role involves architecting and developing Chakra, an AI interviewer. Responsibilities include building consistent interview systems, developing evaluation pipelines, fine-tuning models, and ensuring product quality across all candidate experiences.

The Principal AI/ML Engineer leads complex model development, optimizes data pipelines, collaborates with data science teams, and contributes to strategic AI initiatives.

Build and deploy LLM-based chatbots and machine learning models, integrate agents with enterprise databases and APIs, perform data preprocessing and model evaluation, automate data pipelines, and collaborate with internal teams and clients.

The Machine Learning Engineer will research cutting-edge computer vision, solve complex algorithmic issues, collaborate with tech teams, and assist in hiring talent.

The Machine Learning Engineer will design and deploy machine learning models, collaborate with cross-functional teams, and optimize algorithms to solve business problems.

The role involves leading the design and implementation of multi-stage ML training systems for autonomous vehicles, optimizing training processes and collaborating with various teams.

Design, build, and deploy scalable AI and machine learning solutions, leading full AI lifecycle, collaborating with teams, and ensuring systems align with client needs.

As a Machine Learning Engineer for Personalization and Recommendations, you'll design and implement ML models, develop scalable systems, collaborate across teams, and mentor engineers while enhancing learning personalization at Quizlet.

The Machine Learning Engineer will enhance AI capabilities at the National Air and Space Intelligence Center through data analytics, algorithm development, and machine learning techniques for data processing and analysis.

The role involves designing and building AI components for a platform, specifically focusing on NLP and ML for catalog mapping and anomaly detection, along with feedback mechanisms.

As a Senior Staff Machine Learning Engineer, you will define quality standards for ML systems, evaluate models, and collaborate with cross-functional teams.

Design and deploy machine learning solutions for credit risk and fraud management, collaborating with stakeholders to optimize model performance and maintain governance of the model lifecycle.

The role involves designing and implementing AI and ML solutions for Defense sectors, requiring experience in ML engineering and cloud environments.

The AI and ML Engineer will develop and maintain AI/ML models, collaborate with teams to deliver solutions for national security, and apply algorithms.

Design and build core ML systems for Workday's AI agents, manage the full lifecycle from data strategy to deployment, and collaborate across teams.

As a Sr Associate Machine Learning Engineer, you'll build AI solutions for financial planning, develop workflows, and apply data engineering practices.

The role involves deploying ML solutions for business problems, working with stakeholders to gather requirements, architecting AI systems on Google Cloud, and monitoring industry trends.

As a Fraud ML Engineer, you will ensure authentic human data is processed by building detection systems using adversarial ML techniques and managing backend systems.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

The Senior Machine Learning Engineer will develop advanced recommendation models, optimize machine learning algorithms, and collaborate with cross-functional teams to enhance user engagement across Crunchyroll's platforms.

The Staff AI/ML Vehicle Motion Control Engineer leads AI-enabled vehicle motion control initiatives, defines technical roadmaps, and collaborates across teams to deliver robust control platforms.