Top Machine Learning Engineer Jobs
Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.
As a Staff Machine Learning Engineer, you will lead the design and integration of Generative AI solutions in Firefox, collaborating across teams. You will build infrastructure for training LLMs and implement validation procedures to ensure model performance while monitoring and optimizing deployed models.
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As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
The Senior Machine Learning Engineer will design and implement machine learning applications, collaborate with cross-functional teams, optimize data pipelines, and ensure high availability of ML systems. Responsibilities include building ML models, automating tests and deployments, and monitoring production models while following best practices in AI.
Featured Jobs
As a Senior Data Scientist, you will develop fraud detection models, research new fraud types, maintain data quality, and write production code while collaborating across teams. This role requires deep domain expertise and the ability to drive product development and provide analytical insights to enhance sales and marketing efforts.
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
The Staff Machine Learning Engineer will research, prototype, optimize and deploy perception algorithms for autonomous vehicles. Responsibilities include training large-scale deep learning models, optimizing compute resource utilization, and collaborating with software and test teams on development.
The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.
The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.
The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.
The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.
As a Staff Machine Learning Engineer, you will design deep learning algorithms using vast data from vehicles, adopt recent advancements in machine learning, and collaborate with software developers to enhance the autonomous driving product.
As a Senior Staff Machine Learning Engineer, you will investigate and implement advanced AI methodologies to enhance productivity and automate workflows, work with cross-functional teams on AI integration, and mentor engineers in adopting AI technologies.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
As a Senior Machine Learning Engineer at CNN, you will lead the design and evaluation of ML models, work on NLP and recommendation systems, and mentor engineers. You'll collaborate with various teams to drive machine learning projects from conception to delivery while ensuring best practices in coding and model deployment are upheld.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
The Senior Machine Learning Engineer will design and manage distributed services and tools for Personalization Machine Learning at Cash App, focusing on recommendation and ranking systems. The role involves leading cross-functional projects, ensuring code quality, and mentoring fellow engineers, while collaborating with various teams to implement machine learning solutions.
As a Senior Machine Learning Engineer, you will build the Cashbot customer support chatbot and create modeling pipelines while collaborating with various teams to enhance ML models that improve customer assistance. Your focus will be on developing intelligent automation tools and refining ML systems using cutting-edge technologies.
As a Senior Machine Learning Engineer on the Risk team, you will develop analytical and machine learning solutions focusing on mitigating risk and fraud in Cash App's products. Collaborate cross-functionally and leverage data to improve customer experiences while balancing financial and regulatory risks.
The Senior Machine Learning Engineer, Risk AI will design and maintain ML systems to flag fraudulent activities in real-time. Responsibilities include collaborating with ML modelers, leading experiments, enhancing products with theoretical advancements, and engaging in diverse computer science domains. The role emphasizes ownership of solutions and proactive problem-solving in a fast-paced environment.
The Senior Machine Learning Engineer will collaborate with product and marketing teams to create personalized experiences for Cash App users by building and deploying machine learning models, focusing on recommendations and search systems. They will utilize a variety of machine learning algorithms and analyze data to drive growth and engagement.
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