Top Machine Learning Engineer Jobs in Chicago
As a Principal Machine Learning Engineer at Atlassian, you will drive the development and implementation of cutting-edge machine learning algorithms, collaborate with various teams to integrate AI functionalities into products and services, and provide guidance to emerging ML engineers.
As a machine learning engineer, you will work on a large-scale machine learning system, contribute to recommender systems, and continuously improve solutions.
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.
As a machine learning engineer at Tegus, you will build product features powered by machine learning on top of unique datasets. Your work will involve NLP and large language models. You will collaborate with product managers and engineers to prototype, build, and release features. A bachelor's degree in a quantitative discipline or relevant experience is required.
Lead experimental research projects to optimize large language models, innovate on data curation strategies, publish impactful findings, and continuously refine AI models at ServiceNow's Foundation Models Lab.
As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting rigorous experimentation, and applying AI/ML to improve product problems.
Seeking a Staff Machine Learning Engineer/Architect to lead the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing AI architectures, frameworks, and algorithms, evaluating AI technologies, collaborating across teams, and deploying ML systems in production.
Senior AI/ML Engineer responsible for building AI & ML platforms and solutions for financial services and insurance. Develops data into usable information to create automated analytics solutions. Requires expertise in rapidly deploying AI & ML solutions in a DevOps environment, coding fluency in Python, R, or Java, experience with Kubeflow, Airflow, Docker, and Spark, and proficiency in data preprocessing, cleaning, and data visualization.
Featured Jobs
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.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to improve customer support effectiveness, collaborate with cross-functional teams, and continuously monitor and evaluate machine learning model performance.
Senior Machine Learning Engineer focused on modeling and measurement within Square's GTM organization. Responsible for developing ML models and algorithms for strategic decision-making. Collaborate with various stakeholders to enhance Square's attribution system and drive growth.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, maintain high code quality, collaborate with cross-functional teams, and mentor fellow engineers. Work on critical projects impacting business success.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to optimize decision pipelines, experiment with modeling techniques on customer data, partner cross-functionally with finance, product, and engineering teams.
Join Square as a Senior Machine Learning Engineer specializing in attribution space within the Measurement Machine Learning teams. Develop cutting-edge ML models and algorithms to provide insights for strategic investment decisions. Collaborate with various stakeholders to inform growth strategy with data-driven attribution solutions.
As a Senior Machine Learning Engineer at Grainger, you will play a central role in evolving and expanding machine learning infrastructures to enhance the customer journey. Your responsibilities include deploying and maintaining ML systems at scale, designing data pipelines, and collaborating with data scientists to deliver business impact through ML products.
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.
Design equitable, explainable, and competitive compensation programs at Atlassian. Base pay ranging from $165,500 to $265,800 depending on skills, expertise, or experience. Eligible for benefits, bonuses, commissions, and equity.
Design and build batch and real-time inference services and tooling, facilitate modelers, develop prototypes, and influence team culture in a global financial crimes technology team using Machine Learning and Generative AI at Cash App.
Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.
Build product features powered by machine learning on top of unique, proprietary datasets. Focus on NLP and large language models. Collaborate with product managers and engineers to prototype, build, and release features. Write production python code and deploy microservices.
Seeking a Deep Learning Research Scientist to create novel deep learning systems with a focus on open source projects. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda. Must have a master's degree in Computer Science or related, 5+ years of deep learning experience, strong background in deep learning theory and techniques, and proficiency in Python.
You will be part of a central data science team at Atlassian, responsible for ensuring metrics consistency, collaborating on product and business problems, applying technical expertise in data analysis, and influencing strategy decisions.
Lead Principal Machine Learning Software Engineer
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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.
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