Top Software Engineer Jobs
As a Senior Full-Stack Engineer on the Conversations AI Team, you will architect and maintain high-performance full-stack applications. Your role involves integrating AI technologies into SMS platforms, collaborating with teams to enhance user engagement, and mentoring fellow engineers.
As a Data Architect, you'll design data-intensive applications in Azure, lead data architecture projects, mentor team members, and craft enterprise data strategies while implementing data governance and security measures.
Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.
As a Software Engineer, you will play a key role in designing and implementing critical general web-based and AI-embedded applications for Zoom. Collaborate with cross-functional teams to define, design, implement, and ship new features and applications. Implement AI solutions, work on backend services and databases, and discover and implement new technologies to maximize development efficiency. Salary range: $118,600 - $259,500 per year.
The postdoc will support machine learning research for decision support, contributing to AI and turbulent flow simulations. Responsibilities include designing AI algorithms, implementing uncertainty quantification methods, and deploying these methods on high-performance computing systems to enhance simulations.
The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.
The AI Storage Technology Strategist will leverage expertise in server platforms, AI, and HPC infrastructure to drive strategic partnerships and initiatives within Solidigm. This role focuses on providing guidance for configuring and tuning hardware/software for AI applications, establishing best practices in AI and HPC, and contributing to technology strategy and product development.
As a Senior AI Programmer at Epic, you will enhance Unreal Engine's AI tool chain by developing and maintaining existing systems, adding new features to the navigation system, and collaborating to improve usability. Your focus will be on innovative solutions while supporting partners in achieving their goals with AI tools.
Featured Jobs
The AI Engineer at HealthPlanOne optimizes and implements AI and ML solutions for call transcription scoring. Responsibilities include defining technical specifications, collaborating with stakeholders, ensuring integration with various services, and leading LLM script development. The role also requires maintaining documentation and addressing issues through testing and user feedback.
The Tech Lead, Senior Software Engineer for Generative AI will be responsible for designing and implementing backend systems for generative AI models, building automation frameworks, leading project planning and execution, and collaborating with product teams to ensure successful product delivery.
The Senior Data Scientist will lead machine learning and AI projects, designing and deploying NLP models, conducting advanced data analysis, collaborating with teams, and communicating insights to stakeholders while staying updated with the latest technological advancements.
As a Senior Software Engineer at Superblocks, you will develop and optimize AI models and workflows, design a real-time distributed execution engine, and enhance platform capabilities by collaborating with customers and the product team.
As a Senior AI Engineer at agilon health, you will develop production-grade AI products, focusing on operational optimization models and clinical risk models. Responsibilities include creating data models, implementing machine learning models, building dashboards, and collaborating with various teams to achieve real-world outcomes in healthcare.
The role involves designing and implementing ML compilers for deep learning applications, optimizing them for hardware platforms, and collaborating with hardware architects. Responsibilities include troubleshooting compiler issues and contributing to documentation while staying updated on ML trends and advancements.
The ML Postdoc Researcher will design and refine large language models, develop algorithms for generative tasks, and implement models on large datasets. Responsibilities also include collaborating with teams, staying informed on advancements in machine learning, and contributing to health data applications.
The role involves contributing coding expertise to train AI models by crafting and answering computer science questions and evaluating AI-generated code. This freelance position offers flexible hours and the chance to work on various AI projects.
The AI/ML Software Engineer at Coda will build AI-driven products to solve user problems using language models, enhancing user experience, and collaborating with other teams on product features. They will handle model creation and production as well.
As a Senior AI Solution Engineer, you will design and deploy AI solutions to address business challenges, guide AI and automation technologies' adoption, ensure compliance with data privacy standards, and collaborate across teams while staying updated on technology trends.
The Technical Account Manager at Altana will work closely with Federal customers to enhance user adoption and ensure they effectively utilize Altana's platform. Responsibilities include onboarding new users, conducting customer check-ins and Quarterly Business Reviews, providing support, and identifying opportunities for account expansion.
The AI Engineer will design, build, and deploy enterprise-level AI agents, collaborate with product teams for integration, utilize data analysis for informed decision making, and engage customers to refine AI solutions. Additionally, they will optimize agent performance, document AI processes, and participate in knowledge sharing.
The Generative AI ML Engineer collaborates with cross-functional teams to build innovative ML and Generative AI systems. Responsibilities include designing scalable ML Engineering solutions, writing high-quality code, and implementing data mining and analysis techniques.
The AI Engineer will lead the development and deployment of an advanced AI system for data creation and verification. Responsibilities include model development, system integration, testing, documentation, and continuous improvement of AI applications alongside managing data processes.
The Network Architect focuses on designing, developing, and evaluating electronic hardware systems for HPC and AI applications. Responsibilities include architectural development, conducting feasibility studies, assessing design reliability, and guiding less-experienced staff in innovation and excellence.
The Senior Principal AI/ML Engineer will lead the development of machine learning and generative AI solutions, collaborate with cross-functional teams, mentor engineers, and guide technical direction. Responsibilities include designing scalable applications and contributing to advanced analytics platforms, ensuring successful delivery of data-driven decisions.
The AI Engineer will design and develop deep learning models for analyzing large sets of high-resolution image data, integrate their development into a cloud-based processing pipeline, and will be responsible for data labeling strategies and model performance tracking.
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