Top Software Engineer Jobs
As a Senior/Principal Systems Engineer for Workers AI, you will lead the technical direction of the team, focusing on scheduling AI models and optimizing resource use across a distributed platform. You will leverage your expertise in load balancing and systems-level programming to enhance performance and flexibility of the service.
As a Senior/Principal Systems Engineer in Workers AI, you will lead technical projects for AI inference services and build products and APIs for developers. You'll maintain the AI model catalog and contribute to enhancing the developer experience.
As a Senior/Principal Systems Engineer on the Workers AI team, you'll lead the technical direction of AI inference projects, maintain the Workers AI model catalog, and develop APIs while focusing on enhancing the developer experience.
The Senior/Principal Systems Engineer for Workers AI will lead technical directions on cross-team projects, maintaining the Workers AI model catalog and AI/ML inference code. Responsibilities include deploying AI inference on Cloudflare's GPUs and building products and APIs for developers, ensuring a great developer experience.
The Senior/Principal Systems Engineer at Cloudflare will lead AI/ML initiatives, focusing on deploying AI inference on GPUs and enhancing developer APIs. You'll manage the AI model catalog and collaborate across teams to define technical direction and product features while ensuring a strong developer experience.
The Lead AI Engineer develops and oversees data-driven projects utilizing machine learning and AI to solve complex problems in healthcare. They lead algorithm development, manage analytical projects, integrate models into systems, mentor junior staff, and drive innovation through advanced statistical techniques.
Lead the design, implementation, and optimization of computer vision algorithms, develop deep learning models, collaborate with teams, mentor junior engineers, drive machine learning lifecycle, troubleshoot and optimize AI systems, document research findings.
Lead the AI Engineering team at Capital One to design and implement AI-powered products. Collaborate with engineers and scientists to oversee the development and deployment of AI software components, optimize performance of large-scale systems, and attract top talent. Focus on responsible AI use while nurturing a culture of learning.
Featured Jobs
As a Distinguished AI Engineer at Capital One, you will lead the development of AI-powered products, collaborating with cross-functional teams to design, develop, and implement AI components while leveraging cutting-edge technologies to optimize performance and scalability of large AI systems.
The Senior Software Engineer II in AI Research will develop and implement AI technologies to advance drug development processes, collaborate with multidisciplinary teams, and scale AI models effectively while staying updated on trends in AI and software development.
As a Solution Architect - AI at Arrow, you'll lead technical initiatives, guide partners in AI solutions, and manage the AI Center of Excellence. Your role includes designing, implementing, and promoting AI ML solutions, collaborating with various teams, and ensuring the effectiveness of AI models.
The Principal Software Engineer for AI Platform will design, develop, and maintain AI/ML platform infrastructure, enhance capabilities for training complex models, and collaborate with cross-functional teams. Responsibilities include developing scalable infrastructure, monitoring resource utilization, improving platform usability, and maintaining tools for model versioning and experiment tracking.
The Principal Software Engineer will enhance the infrastructure for Machine Learning workloads, optimize Kubernetes and Kubeflow deployments, troubleshoot HPC issues, and collaborate with cross-functional teams. They will implement best practices for monitoring and ensure system reliability.
As a Software Engineer III (AI/ML) at Chewy, you will lead the design and development of large-scale AI applications, drive innovation through prototyping, and mentor a team of engineers, all while influencing the architectural direction of the technology used in customer service.
Lead the design, development, and deployment of software solutions utilizing AI and LLM technologies for drug development. Collaborate with product managers and experts to create and iterate on innovative features, ensuring system scalability, security, and performance. Engage with emerging AI and software trends and act as an internal advocate for these technologies.
The Expert Enterprise Architect is responsible for defining and communicating the strategy for the Citizen Development program. This role involves collaborating with data scientists and IT leadership to ensure architecture aligns with business goals, leading product area architects, evaluating emerging technologies, and managing risk and customer-impacting issues across multiple initiatives.
The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
As an AI Platform Engineer, you will design and implement AI/ML solutions to enhance the rewards program, develop predictive models for credit assessments, create ML pipelines for member behavior data processing, and build recommendation systems to personalize rewards, while collaborating with product and data teams and optimizing model performance.
As a Principal Applied AI Scientist at Gusto, you will be responsible for designing, developing, and deploying AI solutions, particularly in the realm of Generative AI. Your role involves working on the AI lifecycle, from problem framing to system design, while collaborating with a team of product engineers to create impactful AI applications.
The Applied AI Scientist will develop advanced algorithms for large datasets, execute statistical analyses, evaluate emerging technologies, and contribute to thought leadership in analytics at ZS.
The Director of Analytics and Data Platform Delivery at Pfizer leads product management and engineering for data analytics technologies, ensuring alignment with business objectives and oversight of operational activities. Responsibilities include managing teams, maintaining external partnerships, driving innovation, and promoting a DevSecOps mentality for improved delivery and quality.
The Director, Analytics and Data Platform Delivery is responsible for product management, engineering, and delivery of key data and analytics technologies at Pfizer. This role involves overseeing high-performing teams, managing relationships with external partners, and aligning operational capabilities with the company's strategic objectives. The director must demonstrate expertise in analytics technologies and foster a culture of innovation and shared responsibility within the team.
The Software Engineer will provide full-stack design, engineering, and implementation support, collaborating with Agile Delivery Teams. Responsibilities include integrating solutions, promoting automation configurations, maintaining document generation solutions, and developing automation scripts. This role also emphasizes secure, high code quality and requires effective communication skills to work with various stakeholders.
The Data Manager in Risk Engineering & AI focuses on developing data-intensive solutions for decision making within the risk management function. Responsibilities include data acquisition, pipeline development, transformation, modeling, API development, collaboration with AI/ML teams, and ensuring data quality and governance.
As a Data Manager in Risk Engineering & AI, you will develop data-intensive solutions that drive decision-making for risk management. Your duties include data acquisition, pipeline development, transformation, and API creation while collaborating with AI/ML teams to ensure data quality and implement best practices in data governance.
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