Get the job you really want.
Top Software Engineer Jobs
As a Senior Software Engineer at C3.ai, you will develop infrastructure and tools for Generative AI while enabling machine learning pipelines. Collaborate with product managers and data scientists to enhance enterprise applications and mentor junior team members.
As a Lead Software Engineer at C3.ai, you will develop infrastructure and tools for Generative AI applications, collaborate with cross-functional teams, architect robust solutions, and mentor junior engineers. You’ll focus on machine learning pipelines, and lead technical design discussions while ensuring best practices company-wide.
The Lead/Senior Software Engineer will design, develop, and maintain scalable full-stack applications, collaborate with cross-functional teams, mentor junior developers, and lead technical discussions on various aspects of application development.
The Staff AI Scientist will develop and deploy AI and machine learning methods for analyzing large healthcare datasets. Responsibilities include designing algorithms for automation of clinical tasks, statistical analysis to ensure algorithm accuracy, researching new technologies, and collaborating on innovative AI capabilities.
As a Forward Deployed AI Engineer at Skypoint, you will design scalable solutions using the Skypoint AI platform and implement data integrations. Key responsibilities include managing AI applications, ensuring alignment with business objectives, and utilizing advanced data modeling techniques. Strong project management and communication skills are essential for success in this role.
As a Senior Fraud Engineer, you will develop AI and ML strategies to detect and prevent fraudulent activities such as bot attacks and phishing. You will collaborate with a team to create algorithms, maintain fraud detection systems, and innovate solutions for secure digital experiences.
The Technical Architect will lead the architecture and integration of AI-driven solutions, design data structures, develop MLOps pipelines, and ensure scalable, high-performance AI technologies across the enterprise.
As a Fullstack Software Engineer on the AI Team at Volley, you'll develop innovative voice-controlled games, create machine learning systems, and collaborate with various teams to enhance user engagement across platforms like Roku and Alexa.
Featured Jobs
The Senior Engineering Manager will lead a team to develop PayPal's Next Generation Recommendation Engine, managing technical decisions, guiding engineering teams, collaborating with cross-functional parties, driving innovation in AI/ML, and mentoring team members while ensuring project quality and timeliness.
The Lead Principal ML Engineer will architect and develop scalable AI/ML solutions, leading projects, mentoring team members, and collaborating with cross-functional teams. Responsibilities include building data pipelines, deploying machine learning models, and ensuring system scalability and reliability to enhance the PayPal checkout experience.
The Senior Cloud Developer will work on the OpsRamp team to innovate and create products for their observability SaaS platform, focusing on building AI/ML pipelines while incorporating cloud-native architectures and MLOPS best practices. Responsibilities include mentoring junior staff and contributing to system design and development.
Seeking a seasoned Senior AI Programmer to collaborate with application developers, develop AI algorithms, stay updated on AI trends, mentor junior programmers, and ensure AI integrations comply with standards. Must have 5+ years of AI programming experience and proficiency in Python, R, Java, C++. Bachelor's or Master's degree in Computer Science or related field preferred.
AI Software Engineers are core to KLA’s technology. This position is for future opportunities with KLA, based in Ann Arbor.
As an AI Software Developer, you will design algorithms for code generation and suggestions, develop AI-powered tools to enhance code quality, and build scalable infrastructure. The role focuses on improving developer productivity through automation and innovative AI solutions.
As a Software Engineer at Salesforce, you will design and implement scalable applications on the Agentforce platform, focusing on AI agent tooling. Responsibilities include delivering application code, presenting designs, developing test strategies, and troubleshooting production issues, while collaborating with cross-functional teams.
The AI Scientist will research, design, prototype, and optimize AI systems for Salesforce's Agentforce team. Responsibilities include translating business problems into applied science challenges, building AI systems, mentoring team members, and educating product and engineering teams about AI innovations.
The Graduate Leadership Program at PMG focuses on developing skills in AI and software engineering, offering hands-on experience in building software solutions and scaling systems in a digital marketing context, while providing immersive training and collaboration opportunities.
As a Software Engineer II at Tanium, you will build a high-performance data hub, working with large data sets and collaborating with cross-functional teams. Responsibilities include developing backend services and APIs, implementing automated testing, and creating technical documentation.
The Engineering Manager will lead the AI Platform team, focusing on building and deploying innovative AI systems while collaborating cross-functionally to fulfill user needs. Responsibilities include team management, system architecture, and improving product workflows.
The Senior Software Engineer will focus on developing innovative AI solutions for Wood Mackenzie’s products, collaborating with data scientists and product managers. Responsibilities include designing solutions, writing maintainable code, leading projects, building CI/CD pipelines, and ensuring high-quality implementation of the product roadmap.
The Principal Software Engineer will lead the development of Generative AI solutions, collaborating with data scientists and software teams to ensure scalable and robust software delivery. The role involves technical leadership in building web applications, deploying services on AWS, and maintaining high-quality engineering practices.
The AI Scientist role at Trek involves leading AI projects focused on implementing multimodal generative AI methods on embedded hardware products. Responsibilities include collaborating with engineers to define performance targets, developing and optimizing AI models, deploying models, and providing R&D support for product development teams. The role emphasizes the use of large language models and machine learning techniques to derive consumer insights and improve products.
The AI R&D Engineer will develop, test, and deploy scalable machine learning and deep learning solutions across various domains. Responsibilities include conducting literature reviews, managing projects, collaborating with teams, and presenting insights. The role requires proficiency in several programming languages and frameworks, with a focus on creating impactful AI applications.
Design, develop, and deploy advanced computer vision algorithms and applications using various deep learning frameworks. Lead AI projects, mentor junior team members, and develop AI strategies aligned with organizational goals. Collaborate with cross-functional teams and stay updated on the latest trends in computer vision technologies.
The AI Developer Relations Engineer at Mistral AI will create documentation, lead community initiatives, assist developers in utilizing AI products, and ensure integrations run smoothly. The role also involves participating in community events and keeping up with AI trends.
Top Companies Hiring Developer + Engineer Roles
See All
All Filters
No Results
No Results
