Top Remote Software Engineer Jobs in Chicago, IL
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.
Design, code, test, and maintain software applications and components in the cloud. Work closely with cross-functional teams to translate requirements into elegant and efficient solutions. Implement infrastructure as code and conduct code reviews. Coach and lead team members while establishing best practices. Collaborate with QE engineers for testing strategies. Create and maintain technical documentation.
Looking for a Principal Site Reliability Engineer with expertise in scaling Cloud services, modern Cloud infrastructure, and programming. The engineer will improve reliability, performance, scalability, and cost efficiency by advocating for reliability methodologies and driving adoption of best practices. Strong communication skills and experience in driving cross-organizational initiatives are required. Mentorship experience is preferred.
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The Senior Software Engineer will be responsible for building new systems, enhancing and refactoring existing systems, integrating with external systems, and performance projects. This person has built systems from the ground up and had to deal with bad design assumptions and scaling issues.
As a Technical Customer Success Manager, you will support technically complex and critical customer situations in public safety domains. You will provide technical advisory and assistance to the Customer Success Team to achieve outcomes and increase adoption for customers.
The Senior Field Engineer will be responsible for overseeing technical aspects of upgrade projects for mission-critical communication systems. Responsibilities include customer presentations, equipment staging, system documentation updates, live system upgrades, and leading customer presentations. Required skills include knowledge in radio communication systems, IP networking, network design methodologies, and certifications in relevant areas.
The Deployment System Architect is responsible for the deployment of Computer Aided Dispatch Systems, Mobile Applications, and Records Management Systems. They work on all phases of post-sale system delivery, define technical solutions, collaborate with customers on requirements, and ensure project scope is met. This role requires troubleshooting technical issues, working with minimal supervision, and compliance with corporate training requirements.
As an Enterprise Solutions Engineer at Asana, you will provide technical expertise to help customers understand the value of the product, strategize revenue opportunities, and position Asana as a market leader. The role involves creating custom demos, handling complex workloads, and collaborating cross-functionally. Requires 4+ years of experience in an Enterprise Sales Engineering role in a SaaS environment.
As an Enterprise Solutions Engineer at Asana, you will provide technical expertise and support for customers, contribute to revenue goals, and position Asana's solution as a market leader. You will work cross-functionally with various teams and be a trusted advisor to colleagues and customers.
Lead Engineer role focusing on building and maintaining APIs and SDKs for training and accessing AI models at scale within the Enterprise AI team at Capital One. Responsibilities include designing core APIs, developing application-specific interfaces, monitoring API access patterns, and implementing AI safety protocols.
Lead Generative AI Engineer responsible for building and maintaining APIs and SDKs to train, fine-tune, and access AI models at scale. Work with a team to design and implement key API products and services for real-time customer-facing applications. Bachelor's degree in Computer Science or related field required with at least 6 years of experience in designing and building data-intensive solutions. Experience in programming with Python, Go, Scala, or Java and building training or inferencing systems for deep neural networks.
Looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale. Responsibilities include designing and implementing key API products, enabling real-time customer-facing applications, and developing tools for monitoring API access patterns and operational health.
Responsible for application maintenance, development, customization, design, and troubleshooting within the ServiceNow platform. Collaborate with IT management and business partners to enhance functionality and implement a platform roadmap. Manage all stages of the development lifecycle and streamline efficient ServiceNow solutions. Implement automated workflow solutions, integrate 3rd-party applications, and roll out new custom functionality. Responsible for platform upgrades, managing data, and configuring ITSM Service Catalog. Telecommuting permitted.
The Senior Drawback Associate at Flexport is responsible for optimizing clients' drawback recoveries, managing day-to-day drawback operations, collaborating on innovative solutions with software engineers, analyzing complex duty drawback regulations, and providing mentorship to junior associates. The role involves overseeing import, export, and client databases, ensuring compliance with regulations, troubleshooting software issues, and contributing to process improvement.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for advancing the core machine learning solution and infrastructure, building scalable models, and deploying them to production. You will work on recommender-system related challenges, collaborate with data engineers and platform engineers, and continuously improve the ML platform.
As a Senior Data Engineer, you will play an instrumental role in advancing our core machine learning solution. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high-quality, scalable data pipelines and products.
As a machine learning engineer, you will work on a large-scale machine learning system, contribute to recommender systems, and continuously improve solutions.
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