Top Python Jobs
Work on quality engineering and development for Adobe Sign, including building and testing application foundation, developing customer features, creating test plans, and implementing automated test frameworks for AI models and systems. Collaborate with product and infrastructure teams to ensure quality and efficiency in the development process.
The GenAI and LLM Architect will lead project teams to analyze data sets using AI and machine learning techniques, architect technical solutions, and mentor junior team members. Responsibilities include design sessions, model deployment, and client communication, while ensuring adherence to best practices for both cloud and on-premise solutions.
The Enterprise Integration Architect will lead data integration and architecture proposals during sales cycles, create data integration strategies using REST API and ETL tools, and guide clients in understanding Anaplan’s SaaS architecture tailored to their needs.
Lead the automation of infrastructure, create and manage Azure resources, define DevOps approach, research automation practices, collaborate with technical teams, and architect cloud infrastructure for clients.
The Computer Vision Software Engineer will develop and extend scientific software applications focused on Computer Vision and Machine Learning. Responsibilities include producing 3D shape data, identifying objects in images, and aligning models to images. The role requires experience in C++ and/or Python, object-oriented design, and applying modern development practices.
The Software Engineer will focus on building and maintaining data pipelining solutions in robotics, involving both streaming and batch workloads. Responsibilities include exploring new technologies, writing automated tests, and ensuring customer feature requests are prioritized. A strong emphasis on communication and collaboration is essential.
As a Software Engineer in Distributed Systems at Censys, you will build and maintain data pipelines, working with both streaming and batch data processing. You will engage in technical discussions, prioritize customer requests, and foster an iterative problem-solving environment, while ensuring high-quality code through automated testing and monitoring.
Waymo seeks a Software Engineer Intern for its autonomous driving technology. Interns will engage in programming, neural network architectures, and collaborate with engineering teams to solve technical challenges in robotics and decision-making. The role promises impactful projects and skill development in a supportive environment.
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The internship involves developing the training infrastructure for model trainers, evaluating feature impacts on developer velocity and resource efficiency, and collaborating with model owners to balance training efficiency with model quality.
Waymo seeks a Lidar Technologist intern to work on complex optical systems and contribute to autonomous driving technology. Responsibilities include data analysis, software development in Python and C++, and working with laboratory instruments. Interns will collaborate with industry leaders and gain hands-on experience in innovative projects.
As a Senior Software Engineer at Waymo, you will design software features, improve the realism of simulations, and ensure product scalability and reliability. You will also mentor team members and build user-facing products while focusing on back-end development and architecture.
As a Staff Software Engineer, you will design architecture and software features for Waymo's simulation product, improve driving realism, ensure scalability and reliability, and mentor senior engineers. You will work on backend systems and collaborate with front-end teams to meet the needs of internal customers.
As a Staff Software Engineer, you will develop workflows to evaluate safety and compliance for Waymo’s autonomous driving tools. Responsibilities include refining product requirements, translating them into tasks, improving data methods, and leading integration of evaluation tools with stakeholders.
Develop infrastructure components for distributed training, automate deployment and monitoring processes, diagnose and troubleshoot issues, and optimize performance of ML framework.
Design distributed systems tailored for machine learning workloads, optimize system performance, increase training efficiency, improve developer experience, collaborate with machine learning engineers
As a Customer Applications Software Engineer, you will assist customers with integrating MemryX software into their systems, write and debug C++/Python code, and develop computer vision applications. You will also propose new SDK features, collaborate on demos, and interact with the open-source community.
The Research Scientist will conduct research in computer graphics, computer vision, and machine learning, focusing on generative AI methods for content creation. Responsibilities include developing and patenting algorithms, collaborating with researchers and product groups, and integrating prototypes into Adobe products.
The Site Reliability Engineer will enhance the Adobe AI Inference Platform by improving system reliability, scalability, and security. Responsibilities include defining service level objectives, automating operational tasks, and coordinating with platform teams to innovate AI services, ensuring high uptime and quality of service.
The Software Development Engineer will design, develop, and deliver cloud-native applications using DevOps principles. The role involves collaborating with team members, developing prototypes, experimenting with new technologies, and ensuring excellent user experience while adhering to application lifecycle management.
As a Senior Software Engineer at Adobe, you will develop and maintain backend systems interacting with AWS and Azure, lead Agile processes, implement APIs, and apply DevOps practices. You will also mentor junior engineers and collaborate with a diverse engineering team.
As a Senior GPU Optimization Engineer at Adobe, you will enhance the efficiency and performance of AI models by optimizing training processes and collaborating with model architecture teams. You will write efficient kernels, develop custom layers in PyTorch, and utilize advanced GPU architectures while ensuring the code quality is maintainable.
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 role involves designing and maintaining AI/ML infrastructure for large-scale models, optimizing training frameworks, collaborating with researchers, and improving model training efficiency using innovative technologies.
As a Site Reliability Engineer, you will develop software/tools, optimize cloud services, build automation using industry tools, improve service security and availability, identify system bottlenecks, and guide teams in adopting SRE principles. You will also drive resolution for issues and participate in on-call responsibilities.
The Senior Software Development Engineer will lead the development of features for the Customer Data Platform, collaborating with teams to ensure high-quality outputs. Responsibilities include software design, code development, testing, and architectural improvements, focusing on machine learning applications and integration within the ecosystem.
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