Top Machine Learning Engineer Jobs

Lightfield seeks a Machine Learning Engineer to create innovative AI experiences, collaborate on AI/ML strategy, develop product features, and recruit team members. Must have 5+ years in AI/ML and NLP.

Lead the development of GEICO's AI virtual agent platform, overseeing design, implementation, and collaboration with cross-functional teams, while mentoring junior engineers.

The role involves leading the technical design and architecture of AI/ML platforms, managing cross-functional collaborations, and mentoring engineers while ensuring high performance and reliability of the systems.

Develop AI/ML models for 3D simulation and geology prediction, refine data pipelines, and integrate deep learning tech with product backend.

Work with strategic customers to identify high-leverage ML opportunities, build production-grade solutions, design adaptive data strategies, deploy models, and own outcomes from discovery through deployment.

Lead the development of deep learning sensing technology by designing and deploying computer vision models for real-time inference, optimizing for edge deployment, and establishing MLOps pipelines.

The Senior/Staff Machine Learning Engineer will design machine learning solutions for robotics, focusing on task planning, model performance, and system integration across various teams.

Seeking a Senior Data Scientist/ML Engineer to develop and deploy Machine Learning algorithms, collaborate with teams, and assist federal clients in their digital transformation.

The role involves developing and deploying large language models for healthcare, applying advanced ML techniques, and collaborating with interdisciplinary teams.

The role involves incorporating machine learning techniques into sensor simulation, working with teams to develop effective models for Lidar, Radar, and Camera systems.

Develop and deploy end-to-end machine learning solutions, collaborate with cross-functional teams, and implement MLOps frameworks while monitoring model performance in production.

The Senior Machine Learning Engineer will develop end-to-end ML systems connecting perception inputs to driving behavior, enhance model performance, and mentor juniors.

The Full Stack Developer will implement OpenAI and GPT-3 tools to develop processes for creating content and editing media for podcasts.

As a ML Engineer at Wispr, you will design features for a voice interface, optimize ML inference, and scale personalization of speech models.

Design, implement, train, validate, and deploy machine learning models at enterprise scale. Collaborate with data engineers and software engineers to preprocess data, perform feature engineering, evaluate model performance, and integrate models into production. Continuously improve models and adopt new ML and cloud data tools to solve business problems.

You will create large datasets and training recipes, develop methods for data mining, create scalable infrastructure solutions, and collaborate with ML infrastructure teams.

The Staff Machine Learning Engineer will develop and deploy advanced AI models and systems, enhance GenAI capabilities, and collaborate with cross-functional teams.

The role involves developing ML-based planning algorithms for autonomous trucks, ensuring safety checks, real-time operation, and keeping up with research. Requires strong communication and collaboration.

Architect, deploy, and maintain production-grade AI and machine learning systems across GenAI and classical ML projects. The role owns technical architecture, monitoring, alerting, model lifecycle management, cloud deployment, MLOps practices, and continuous improvement. Responsibilities also include guiding project teams, making strategic technology decisions, translating AI concepts into business value, evaluating practical applications of research, and communicating technical recommendations to engineering and business stakeholders.

Develop C++ machine-control software and data analytics for advanced semiconductor mask inspection systems. Design, optimize, and maintain reliable, scalable code in multi-threaded and multi-process environments. Collaborate with electrical, mechanical, optical, algorithm, and software engineers to implement system requirements, support integration and testing, and resolve customer-site escalations. The role also involves debugging, Linux development, and potentially RPC, REST, containerization, Kubernetes, and modern UI frameworks.

The role involves building and optimizing compression technology, designing neural models, and enhancing training systems for efficient and effective codec production.

Design and deploy production recommendation and retrieval engines, build data orchestration pipelines for multiple modalities, implement agentic workflow frameworks, and prototype, optimize, and scale models with monitoring, governance, and low-latency SLAs.

Design and develop scalable ML systems for healthcare, collaborating with teams to enhance products and maintain efficient infrastructures.

The role involves designing and optimizing recommendation systems for Fortnite's Discover experience, including model implementation and A/B testing.

Design and optimize recommendation systems using deep learning approaches, manage pipelines and evaluate A/B tests to improve user experiences.