Top Machine Learning Engineer Jobs
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.
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.
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.
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.
The Technical Director will guide the technical direction of Epic's Advanced Analytics and ML Services team, focusing on scalable solutions for batch and real-time workloads. Responsibilities include championing ML integration efforts, collaborating with stakeholders, mentoring team members, and overseeing the design, planning, and execution of data systems.
The Senior Machine Learning Engineer will develop advanced algorithms for humanoid robotics using imitation learning and reinforcement learning. Responsibilities include designing machine learning models, optimizing training processes, and contributing to team collaborations to push the boundaries of robotics technology.
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 Kalepa, you will lead the development and deployment of machine learning models to assess business risk, utilizing various data sources. You will collaborate with product management and software engineers, taking ownership of projects and driving their direction in agile sprints.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risk for various business sectors, utilizing structured and unstructured data sources. You will take ownership of projects and collaborate closely with product management and software engineers in a two-week sprint environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment at scale of machine learning models. Your role involves processing and analyzing vast amounts of structured and unstructured data to generate insights on business risks, collaborating with Product Management and Software Engineers on projects in a fast-paced environment.
Lead the framing, development, and deployment at scale of machine learning models to assess business risk. Collaborate with teams to create insights from structured and unstructured data through a project-driven approach.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks using structured and unstructured data. This role involves ownership of projects with a collaborative approach alongside Product Management and Software Engineers in a sprint environment.
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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 lead the development and deployment of machine learning models to assess business risks, utilizing both structured and unstructured data. This role involves project ownership, collaboration with product management, and working in agile sprints.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing various structured and unstructured data sources. You will have ownership of projects, collaborating closely with Product Management and Software Engineers within a two-week sprint environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess the risk of various businesses, working with large datasets to derive insights. You will collaborate with Product Management and Software Engineers in an agile environment, ensuring project alignment and ownership.
Lead the development and deployment of machine learning models that analyze risk across various businesses. Collaborate with product management and software engineers while managing projects independently in an agile environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models using large amounts of structured and unstructured data. The role involves understanding business risks and delivering actionable insights through your projects, while collaborating with product management and software engineers in a fast-paced environment.
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