דרושים » AI » AI software engineer

We're looking for a AI Research Scientist to join us
WHAT YOULL DO

Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

We are looking for a brilliant and highly motivated AI Engineer with a focus on NLP to join our team that is revolutionizing how audio and video content is transcribed, analyzed, understood, and edited. You will work closely with our product and other engineering teams, as your research and development will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.

At our company, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons our company consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
In Platforms and Devices (P&D) AI Innovation and Research (AIR), we collaborate with the leading professionals in the functional areas of computer vision, graphics, machine learning, and AI to develop techniques to solve problems for the consumer facing imagery space.
As a product manager in this space, you will work with research scientists to create new approaches to solve consumer issues, and apply those approaches by designing, and implementing features that help to drive our company level goals.
The Platforms and Devices team encompasses our company's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of our company AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Partner with research counterparts to drive new investments and a product/tech road map for innovation.
Execute on 0 to 1 differentiating AI video experiences that can disrupt the smartphone space.
Collaborate with our company Deepmind and across product areas like Pixel Camera, and our company Photos to build these experiences.
Work with Marketing, Comms, and creative agencies to tell the story of these experiences.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.