Top Machine Learning Engineer Jobs in Chicago, IL
Looking for a Principal Machine Learning Engineer to shape the ML agenda for Dropbox's new initiatives, developing high-impact ML solutions that touch millions of users and vast amounts of data across various ML techniques.
As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale ML systems, collaborate with cross-functional teams, and impact millions of users with personalized experiences.
Work as a Machine Learning Engineer at ZS AI Practice, building transformative AI-enabled data products and solutions. Responsibilities include building model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching latest technologies.
Build, orchestrate, and monitor model pipelines, scale machine learning algorithms on massive data sets, implement ML Ops, write production-ready code, collaborate with client teams and global development team, research and evaluate latest technologies.
Play a major role in building AI and Machine Learning solutions to enhance user experience and workflow efficiency of enterprise services. Collaborate with Data Scientists, facilitate ML data preparation, and optimize predictions and recommendations for the Enterprise Data Platform. Work on scalable data models using Snowflake and ensure seamless integration with various data sources across the company.
As a Senior Machine Learning Engineer at Capital One, you will design, build, and deliver machine learning models to solve real-world business problems. You will work with cross-functional teams to implement ML applications using a variety of technology platforms. Responsibilities include model development, infrastructure decisions, data pipelines construction, and continuous integration and deployment. Preferred qualifications include experience in building, scaling, and optimizing ML systems and data preparation for ML models.
As a Senior Machine Learning Engineer at Capital One, you will be part of an Agile team dedicated to productionizing machine learning applications at scale. Responsibilities include designing, building, and delivering ML models, informing ML infrastructure decisions, solving complex problems, collaborating with cross-functional teams, and leveraging cloud-based architectures.
Seeking a Senior Machine Learning Engineer to apply machine learning to solve various problems, build infrastructure, and shape team development. Responsibilities include delivering AI-powered products, conducting data analysis, building ML models, and challenging conventional thinking. Must have 6+ years of experience in data science/machine learning, experience with AWS services, and proficiency in writing SQL queries.
Featured Jobs
As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications at scale, designing and building ML models, leveraging cloud-based architectures, and ensuring high availability and performance of ML applications. You will collaborate with cross-functional Agile teams and continuously learn and apply the latest innovations in machine learning engineering.
Join Dropbox as a Senior Machine Learning Software Engineer to shape the future direction of the organization and innovate at scale. Collaborate with cross-functional teams to build large-scale Machine Learning systems and personalize user experiences.
Partner with stakeholders to develop ML solutions, build data pipelines, deploy models in production, and conduct experiments to optimize performance.
Contribute to building next generation Large Language Models for Enterprise Language Generation. Use AI/ML expertise to solve real-world challenges and develop scalable solutions. Collaborate with a team to deliver high-quality software for AI-powered work experiences.
_0.png)
Optiver is seeking a Machine Learning Performance Engineer to work on AI initiatives, focusing on Machine Learning infrastructure and trading strategies. Responsibilities include building pipelines, enhancing frameworks, and collaborating with teams. Expertise in deep learning frameworks, computer architecture, and C++/Python programming is required.
Seeking a Machine Learning Performance Engineer to work on AI initiatives and futures trading strategies. Responsibilities include building training and inference pipelines, enhancing deep learning frameworks, identifying performance bottlenecks, and collaborating with researchers and engineers. Must have expertise in deep-learning frameworks, computer architecture, and programming in C++ and Python. Nice to have experience with JAX ecosystem, programming for GPUs, Linux system programming, large-scale distributed training, and contributions to open-source projects.
Top Chicago Companies Hiring Machine Learning Engineers
See All
_0.png)
.jpeg)
All Filters
No Results
No Results
