Top Software Engineer Jobs
The Senior Azure AI Engineer will lead the design, development, and deployment of AI applications, collaborate with cross-functional teams, optimize AI models, mentor engineers, and ensure integration with existing systems. They will also research AI advancements and ensure governance of AI solutions.
As a Sr. AI/ML Engineer III, you will analyze complex datasets, apply machine learning techniques, and lead architectural designs for identity management systems in a DHS contract. You will work on data usability enhancement and provide subject matter expertise, while also interacting with senior executives.
The Solution Consultant/Sales Engineer will collaborate with Sales, Product, and Client Engagement teams to deliver tailored product demonstrations and technical solutions to clients. They will bridge the gap between Strategic Workforce Planning offerings and client requirements by providing insights on finance, planning, and talent management, designing solutions, and supporting the implementation process.
The Conversational AI Designer will lead the design and implementation of AI conversation models, collaborate with cross-functional teams, ensure AI model quality, and help customers use Cresta Opera for their AI solutions. Responsibilities include managing projects, developing virtual agents, and delivering enablement programs.
As an AI Solutions Engineer at Azra Games, you will lead research and implementation of generative AI technologies in game development, collaborating with teams to optimize workflows and prototypes, and enhancing real-time AI performance in games.
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
The Lead AI Engineer at Cast & Crew will lead the design and development of AI-driven solutions, focusing on integrating machine learning to enhance customer experiences. Responsibilities include managing advanced AI components, researching optimization methodologies, and shaping technical strategies for AI systems while ensuring high-quality and reliable outputs.
As a Senior AI/ML Engineer, you will develop and deploy Machine Learning models, collaborate with a cross-functional team, and work on building and maintaining machine learning pipelines with a focus on innovation and interdisciplinary teamwork.
Featured Jobs
The Technical Lead II is responsible for leading a small engineering team in the Operations Hub group, focusing on AI-driven products. They collaborate with various teams to set goals, resolve issues, and ensure product reliability. This role requires a strong senior engineer who values experimentation, embraces technical challenges, and fosters an inclusive team culture.
As the Senior Engineering Manager for the AI team at Bubble, you will oversee the development and launch of Bubble Assist, a new AI-driven product aimed at enabling no-code developers to create applications. Your role will involve collaborating with product and design teams to ensure the success of the launch and establish a strategic roadmap for future enhancements.
The Lead AI Engineer will design and implement AI-driven solutions, lead the development of advanced AI models, and optimize AI systems for the entertainment industry, engaging with diverse teams to enhance operations and customer experiences while aligning with business goals.
As a Software Engineer at RenderWolf, you will design, develop, and maintain front-end and back-end components of web applications, ensuring an integrated user experience. You will also engage in API development, agile practices, and uphold coding quality through reviews and testing while optimizing application performance.
This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.
As an AI Engineer at Kira Learning, you will enhance the student learning experience by developing features like autograding and personalized learning tools. You will also collaborate with design and product teams to ensure projects meet user needs and are efficiently executed, while maintaining high code quality.
The Memory Circuit Design Engineer will design memory IC projects from concept to tape-out, implement memory architectures, create testing plans, and troubleshoot design issues. Responsibilities include collaborating with analog and digital teams, ensuring memory integration, and maintaining documentation. Participation in innovative designs to meet customer needs is essential, along with staying updated on industry advancements.
The Analog/Mixed-Signal IC Verification Engineer will develop and implement mixed-signal verification plans, design testbenches, execute test cases, and collaborate with design teams. Responsibilities include reviewing results, enhancing methodologies, and preparing designs for tapeout.
Join Redis's core AI team to research, design, and implement advancements for Large Language Models (LLMs), focusing on optimization for relevance, latency, and privacy. Responsibilities include model optimization, tool development, and addressing complex NLP problems. Ideal for a self-directed individual with expertise in machine learning models and NLP.
The Senior Director, Business Development role focuses on leading relationships with strategic accounts in the Data and AI vertical, ensuring service execution exceeds client expectations, identifying new business opportunities, and collaborating with teams to pitch services to clients.
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
The AI Engineer will lead implementations of Generative AI for enterprises, working directly with advanced software teams to deploy large-scale solutions. Responsibilities include designing GenAI pipelines, solving technical challenges, guiding teams in adopting AI technologies, and collaborating on scalable AI systems while staying updated with the latest advancements in GenAI.
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
The Senior Sales Engineer at Cohesity will identify and drive new customer opportunities by articulating technical solutions, enabling product integration, and leading secondary storage strategies. Responsibilities include conducting product demonstrations, collaborating with product management, and offering post-sales technical support.
The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.
As a Senior AI Platform Engineer, you will design and maintain AI infrastructure, collaborate with teams to ensure robust systems, optimize models for efficient inference, manage AI models in production, and implement security protocols. You will also stay updated on industry trends and present possible use cases.
As a coding expert, you will provide assistance in training AI models by crafting questions related to computer science, evaluating AI-generated code, and ranking its quality. This role allows for flexibility in hours and is entirely remote.
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