דרושים » תוכנה » Algorithms and Machine Learning Student

The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across our company, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.
Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
The program is open to students enrolled in a Bachelors, Masters, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of our company's research teams, including our company DeepMind, our company Research, our company Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across our company are working to advance the computing and build the next generation of intelligent systems for all our company products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
our company Research is building the next generation of intelligent systems for all our company products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. our company Research teams collaborate closely with other teams across our company, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.

The Research Lab in Israel is seeking exceptional students to join our dynamic team to work on cutting-edge AI research for building the next-generation platform for AI and agents. Our team focuses on developing core technologies to enable building the next-generation platforms to support AI and agentic workloads. This includes:
Exploring how to optimize the AI platform stack and architecture to support the next-generation of AI-driven applications, including agentic workload and applications.
Developing methods leveraging AI paradigms to assist in inventing and evaluating new platform algorithms and solutions.
In this position you will:
Develop code for AI and Agents platform (e.g., in Python and GO)
Performing benchmarking and evaluation and gain expertise in platform evaluation
Gain hands-on experience with enterprise AI software stack, tools and platforms
Work in a global company gaining team and collaboration practices
This role offers a unique opportunity to deepen your knowledge and practical skills in AI solutions and platforms.

Were looking for fast learners with strong programming skills and a passion for applying and working with AI. Experience with AI and language models is a plus.

We are looking for a highly motivated PhD or MSc student to join our team for a summer internship focused on cost-efficient serving of large-scale AI inference workloads.The internship will explore advanced routing strategies and KV-cache-aware optimizations in distributed inference systems, with an emphasis on improving performance, scalability, and GPU cost efficiency.
What you will work on
Designing and evaluating routing algorithms to optimize inference latency, throughput, and cost
Investigating KV cache management strategies for large-scale, distributed inference serving
Prototyping, benchmarking, and analyzing inference optimization techniques
Working with modern inference frameworks and real production-like workloads
Why join us?
This internship offers a unique opportunity to work at the intersection of AI systems and distributed infrastructure, with real-world impact on scalable, cost-efficient inference serving used in production environments.