Top Machine Learning Engineer Jobs

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks for various businesses. The role involves transforming structured and unstructured data into actionable insights and collaborating closely with product management and software engineers.

Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.

As a Machine Learning Engineer, you will frame, develop, and deploy machine learning models to assess risk for various businesses using structured and unstructured data. The role emphasizes ownership of projects and collaboration with product management and software engineers in a sprint-based environment.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess business risks using various data sources. You will take ownership of projects, collaborate with Product Management and Software Engineers, and work in two-week sprints to deliver insights that enhance underwriting decisions.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess risks of various businesses using large volumes of structured and unstructured data. You will drive project direction in collaboration with Product Management and Software Engineers.

As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks associated with various businesses. Responsibilities include converting structured and unstructured data into actionable insights and working closely with product management and software engineers in a sprint-based environment.

As part of the Sponsored Advertising team at Chewy, you will lead machine learning initiatives to enhance product search and ad relevance, collaborating with product leaders to develop and deploy models that improve user engagement and vendor visibility. Responsibilities include building predictive models and sharing insights with leadership.

As a Machine Learning Engineer at Kalepa, you will be responsible for leading the development and deployment of machine learning models to assess business risks using diverse data sources. You will have ownership of your projects and collaborate closely with Product Management and Software Engineers in a fast-paced environment.

The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.

The Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.

As a Machine Learning Engineer on the On-Device ML team, you will design and prototype new features, build and implement ML models, collaborate with product teams, and launch and monitor model deployments, all aimed at enhancing Grammarly's writing assistance capabilities on devices.

The Machine Learning Engineer will frame, develop, and deploy machine learning models at scale, analyzing structured and unstructured data to derive insights about business risks. Responsibilities include collaborating with Product Management and Software Engineers within a two-week sprint framework, while maintaining full project ownership.

As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.

The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks using large datasets. Responsibilities include project ownership, collaborating with product management, and working within two-week sprints.