Future Tech Jobs
Future Tech Jobs
We are now looking for a Senior CPU Performance Developer Technology Engineer. NVIDIA is seeking an outstanding computer scientist to join its Compute Developer Technology (Devtech) team. This role focuses on research and development techniques to optimize key Cloud and...
The role involves researching and designing new systematic equity strategies, partnering with the Portfolio Engineering team to implement quant capabilities, and enhancing existing factor and risk models. You will also run independent research projects, improve research tools, and collaborate with global teams to showcase systematic capabilities to clients and stakeholders.
NVIDIA is looking for an outstanding passionate and talented Senior SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security,...
Fellows will engage in full-time research for 4 months, focusing on AI security. They will receive direct mentorship from Anthropic researchers, access to a shared workspace, and a weekly stipend. The program aims to produce public outputs like research papers and includes funding for compute and other expenses.
Fellows in the ML Systems & Performance workstream will conduct full-time research for 4 months, focusing on empirical projects aligned with Anthropic's research priorities. They will receive direct mentorship, access to shared workspaces, and a weekly stipend, with the goal of producing public outputs such as research papers.
This role involves designing, building, and maintaining large-scale data pipelines using Scala and Apache Spark. You will work closely with ML Engineers and Researchers to develop and optimize data processing systems that support advanced machine learning workflows at scale.
This role involves leading a team of applied scientists to develop and enhance multilingual speech generation and voice personality for Alexa. Responsibilities include managing scientific strategy, collaborating with cross-functional teams, and driving research and productization efforts across 20+ languages.
This role involves designing and developing machine learning and generative AI systems to automate incident triage, root cause analysis, and resolution recommendations. You will work closely with software engineering teams across multiple countries to integrate these models into production observability systems, reducing operational load and improving service reliability.
This role involves developing and deploying custom machine learning and LLM-powered systems for customer feedback analysis, including fine-tuning, retrieval, summarisation, and agentic workflows. The scientist will lead experimentation, evaluation, and productionisation of models while mentoring team members and integrating cutting-edge AI research into real-world applications.
This role involves leading the strategic direction and operational excellence of the Platform teams, which are crucial for training and serving large-scale machine learning models in biotech. You will define the long-term vision, mentor a diverse team, and ensure robust, scalable, and developer-friendly services across multiple disciplines.
As a Senior Software Engineer on Wayve’s Simulation Technology team, you will develop and enhance a high-fidelity simulation platform that integrates classical simulation techniques with cutting-edge machine learning. You will work closely with robotics, research, and data teams to ensure the simulator meets the needs of end-users, focusing on areas like robot emulator fidelity, visual fidelity, or efficient scaling.
This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development Platform and GPU Compute platform. Responsibilities include defining SLOs, improving capacity planning, leading incident response, and designing observability systems to ensure resilient and performant cloud infrastructure.
This role involves designing and maintaining the ML platform infrastructure that supports model training, evaluation, and production serving at scale. The engineer will build reliable, automated systems for deploying and operating generative models, with a focus on scalability, observability, and developer experience. The position bridges research and production engineering, emphasizing robust tooling and agentic workflows to reduce manual operational overhead.
This role involves building and maintaining a high-fidelity biological data layer to support machine learning at Isomorphic Labs. You will develop large-scale bioinformatics pipelines, harmonize public and internal datasets, and collaborate with interdisciplinary teams to ensure data quality and standardization. The work directly accelerates drug discovery by providing robust, ML-ready biological data.
This role involves leading the architecture and development of full-stack platforms that deliver AI-driven insights to clients in highly regulated industries. You'll bridge data science and production software, building scalable systems using TypeScript, Python, and cloud technologies. The position emphasizes technical leadership, mentoring engineers, and translating complex business problems into robust, deployable solutions.
