Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype experimental solutions, improve scene realism, and build evaluation workflows for robust technology development.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
This role involves leading machine learning engineering efforts within a research context, focusing on scaling and optimising AI models for high-fidelity physics and engineering simulations. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, working closely with scientists and guiding junior team members. Key responsibilities include defining technical strategy, building scalable ML infrastructure, and mentoring within a collaborative, interdisciplinary team.
A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to advance drug discovery at digital speed. Working in an interdisciplinary team, they will apply cutting-edge AI techniques to complex biological and chemical problems, iterating on model design, training, and inference to unlock new scientific insights. The role emphasizes innovation, collaboration, and technical leadership in a high-impact research environment.
This role involves defining and managing the technical architecture for integrating Wayve’s AI-driven autonomous driving software with automotive OEM vehicle platforms. The Solutions Architect will act as a bridge between internal teams and external partners, translating customer needs into clear interface specifications, ownership boundaries, and integration requirements. The position emphasizes system-level thinking, cross-functional collaboration, and ensuring safe, scalable integration across real-time embedded vehicle systems.
P-1127At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our...
RDQ127R176At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the...
As a Technical Product Manager for Wayve's L4 autonomous driving solutions, you will lead the development and deployment of cutting-edge AV features. You will work closely with cross-functional teams to translate embodied AI and end-to-end learning into market-ready products, ensuring safety and user satisfaction.
The Solutions Consultant role involves developing and executing training and education strategies to help customers quickly realize value from Synthesia's AI video platform. Responsibilities include creating engaging content, defining the onboarding process, and collaborating with internal teams to drive product adoption and customer success.
The Sales Development Representative role involves driving Synthesia's growth through inbound prospecting, qualifying leads, and supporting marketing activities. You will create and activate email sequences, make cold calls, and conduct follow-up communications to set meetings with potential clients.
This role involves designing and refining conversational AI agents by collaborating with product and engineering teams. The strategist will guide AI implementation for customers, drive project execution, and provide data-informed insights throughout the development lifecycle. It requires strong technical understanding, communication, and the ability to manage complex projects across cross-functional teams.
Lead a team of data scientists focused on advancing threat detection and agentic AI systems in cybersecurity. Drive machine learning strategy from research to production, leveraging large-scale behavioural data and malware analysis. Collaborate with security and engineering teams to develop innovative AI-driven security solutions that directly impact global customers.
Lead a team of data scientists focused on developing machine learning systems for cybersecurity threat detection and agentic AI. Drive technical strategy, mentor team members, and collaborate with security and engineering teams to deploy models at scale using real-time behavioural data and large malware datasets. Balance research innovation with production delivery in a high-impact AI-native security environment.
This role involves leading the strategic direction and operational excellence of the Platform teams, which enable the training and serving of large-scale AI models in biotech. Responsibilities include defining the long-term vision, mentoring a diverse team, and ensuring robust, scalable, and developer-friendly services for all engineering teams.
This role involves shaping the evolution of Codex, an AI-powered software engineering tool, by working closely with internal teams and external customers to identify real-world use cases and requirements. Responsibilities include building scalable ecosystem and enterprise capabilities, designing secure and observable systems, and leading deployments and launches to ensure Codex is a reliable and trusted teammate for organizations.
