Top Machine Learning Engineer Jobs

The Senior Machine Learning Engineer will lead the framing, development, and deployment of machine learning models at scale, focusing on understanding the risk of various classes of businesses. They will turn structured and unstructured data into actionable insights, working collaboratively in sprints with Product Management and Software Engineers.

As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risks. Responsibilities include processing large datasets and collaborating with product and software teams to drive project direction.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models, analyzing vast amounts of structured and unstructured data to assess business risks. Responsibilities include collaborating with Product Management and Software Engineers and driving project direction within a two-week sprint framework.

You will build Cash App's customer support chatbot, utilize smart tooling, engineering high-throughput ML models and mentor other team members. You'll work with Product, Design, and Engineering teams to enhance customer support experiences through advanced machine learning techniques.

The Machine Learning Engineer at NewsBreak will innovate algorithms for ad retrieval and ranking, enhance ad quality, collaborate globally with teams, and lead projects from conception to completion.

As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models at scale. This involves turning large datasets into insights regarding business risks while working collaboratively with product management and software engineers in a fast-paced two-week sprint environment.

The Senior Machine Learning Engineer will partner with product and marketing teams to enhance customer experiences and drive growth. Responsibilities include building and deploying machine learning models specializing in personalization for Cash App and Afterpay. The role emphasizes creativity, collaboration, and leveraging large transaction datasets for innovative AI applications.

As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to analyze business risk. This role involves transforming large data sets into insights, guiding project direction, and collaborating with Product Management and Software Engineers in a sprint-based environment.

The Machine Learning Engineer will work on AI-powered software development, focusing on multimodal capabilities including vision and audio. Responsibilities include designing data pipelines for model training, improving model performance through experimentation, and collaborating with various teams.

The Machine Learning Engineer at Scribe will design and implement advanced AI techniques, optimize model performance, and create benchmarking infrastructure. Responsibilities include translating AI innovations into features, working on memory management, and collaborating with engineering teams to enhance model quality.

Kalepa seeks a Senior Machine Learning Engineer to lead the development and deployment of machine learning models, extracting insights from diverse data sources. Responsibilities include framing project direction and maintaining focus in collaboration with Product Management and Software Engineers in a two-week sprint cycle.

The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models, analyzing both structured and unstructured data to provide insights into business risks. The role emphasizes project ownership and collaboration in a fast-paced environment, utilizing methodologies like two-week sprints.

The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.

As a Staff Machine Learning Engineer, you'll lead the development of AI solutions, working with application teams and data scientists to build a reliable AI infrastructure at Robinhood. You'll oversee high-impact projects for a centralized AI platform, ensure seamless integration, and drive the implementation of effective ML models and data access strategies.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk using diverse data sources. You will work closely with Product Management and Software Engineers, driving projects in a two-week sprint format while taking full ownership of your work.