AI Engineer (CZ)
As the Senior AI Engineer, you will play a pivotal role in shaping the AI strategy and architecture for the fintech compliance platform, helping design AI strategy and development by defining and driving the AI roadmap. You will develop transparent and interpretable AI solutions that meet regulatory standards, collaborate cross-functionally with engineers, data scientists, and compliance experts to integrate AI into the platform, and optimize AI performance by improving model accuracy, efficiency, and scalability in a high-stakes financial environment. You will stay ahead of AI trends by researching and implementing the latest advancements in AI, natural language processing, and anomaly detection. Additionally, you will mentor and guide the growing AI team, fostering a culture of innovation and excellence, and drive AI governance and ethics by establishing best practices for bias mitigation, model validation, and responsible AI use.
Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship
As a research intern in Robot Learning at Field AI, you will work closely with researchers and engineers to explore novel approaches to robot learning and autonomy, focusing on scalable methods that generalize across tasks and embodiments. You will design experiments, develop learning pipelines, and validate ideas on real robotic platforms. Responsibilities include developing a multi-modal data collection platform for day/night robot navigation data collection, collecting high-quality datasets for reproducible and comparable research and evaluation, and summarizing and publishing findings in high-quality robot research conferences or journals. You will work independently while collaborating effectively in a research environment, contributing directly to FieldAI's deployed autonomy stack.
Staff Applied AI Researcher - Agentic Reasoning Systems (Brazil)
The Staff Applied AI Researcher at Articul8 AI is responsible for setting the technical direction for agentic reasoning systems and runtime intelligence across ModelMesh™, including defining orchestration strategies, decision policies, verification approaches, and runtime quality standards for parallel agent systems in production. They must architect infrastructure for large-scale researcher augmentation, design agentic platforms and orchestration primitives to enable extensive deployment of AI agents in experimentation, evaluation, and production integration. The role requires advancing the science of autonomous reasoning by designing, training, and refining learned components for runtime decisioning through widespread agent-driven experiment pipelines. The researcher must unify perception, retrieval, reasoning, and action by developing methodologies for integrating domain-specific models, data perception systems, knowledge graphs, retrieval layers, and external tools into cohesive agentic workflows. They lead research on agent reliability in regulated environments by driving failure detection, verification workflows, error analysis, and auditable autonomous behavior research using agent-orchestrated stress testing and red-teaming. The position entails defining evaluation methodologies for runtime intelligence to measure task success, decision quality, robustness, traceability, and failure recovery under enterprise conditions, building continuous agentic evaluation harnesses. Additionally, the researcher influences platform architecture decisions related to model routing, tool use, observability, governance, access control, and interoperability with external agent ecosystems. Mentoring researchers in the agentic paradigm, contributing to hiring, and maintaining a hands-on personal research impact through technical work, publications, patents, and visible output are also core responsibilities.
Protection Scientist Engineer, Intelligence and Investigations
As a Protection Scientist Engineer within Integrity and Investigations at OpenAI, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring robust abuse monitoring for new products, sustaining monitoring for existing ones, and prototyping and incubating defense systems against highest risk harms. You will respond to and investigate critical escalations that are not caught by existing safety systems. The role involves scoping and implementing abuse monitoring requirements for new product launches, improving processes to sustain monitoring operations for existing products by developing automation approaches, and maturing systems for detection, review, and enforcement of abuse for major harms. You will work cross-functionally with product, policy, operations, investigative, and engineering teams to understand risks, secure sufficient data, and build scaled tooling. The role includes participation in an on-call rotation for resolving urgent escalations and may involve investigation of sensitive content including sexual, violent, or disturbing material.
AI Product Manager
As an AI Product Manager, you will define and drive the AI product roadmap ensuring alignment with business objectives and user needs. You will collaborate with cross-functional teams including engineering, design, and marketing to develop and launch AI-powered features. Responsibilities include conducting market research and analyzing user feedback to identify opportunities for AI integration, working closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact, defining key performance indicators to measure success and iterating based on data-driven insights, staying up to date with AI trends, emerging technologies, and best practices, and ensuring ethical AI usage and compliance with data privacy regulations. This role is fully onsite in Lisbon, involving close in-person collaboration in a dynamic and fast-paced environment.
Staff Software Engineer
As a Staff Software Engineer on the Perception team, you will be responsible for defining and driving the long-term vision and architecture for perception systems, architecting complex, scalable, and robust end-to-end perception and robotics systems for deployment on real-world hardware, ensuring their successful integration into Hayden’s core product platform. You will spearhead the architectural design, implementation, and long-term ownership of next-generation perception systems, transition research prototypes to production solutions, deliver high-performance, tested, and maintainable C++ code optimized for edge and robotics platforms, architect and optimize real-time perception pipelines, drive the integration of state-of-the-art ML and CV models, provide technical leadership in complex problem domains, collaborate with Product leadership and Engineering organizations, and contribute to foundational shared infrastructure, tooling, and architectural patterns to scale pilot initiatives into core product capabilities.
PhD Research Intern, Vision Language Action Models
Work on the Multimodal Language Action model by exploring novel discrete action tokenization and flow matching approaches, building on MotionLM, FAST, and other models. Train models at the billion+ scale using millions of miles of proprietary Zoox driving data. Gain experience and insight into training Multimodal Language Action models at scale. Contribute to publishable research that could be integrated into Zoox vehicles.
Machine Learning PhDs - AI Trainer
Use machine learning expertise to create domain-relevant questions and review AI-generated responses for accuracy, rigor, and relevance to real-world physics research and practice.
Researcher, Safety & Privacy
The role involves designing and implementing privacy-first architectures to detect and mitigate harmful model behaviors, building frameworks for auditable private identification of high-risk content such as jailbreaks, cyber threats, or weaponization instructions, and developing strict, auditable mechanisms that are triggered only by harm signals. Additionally, the researcher will drive the development of automated safety systems that preserve privacy at every level, operationalizing frameworks for identifying and addressing frontier risks while ensuring privacy guarantees remain intact even under adversarial conditions, and working on foundational problems including privacy-preserving monitoring, algorithmic auditing, secure enclaves, and adversarially robust safety enforcement protocols.
Senior Computer Vision Engineer (Autonomous Driving)
As a Senior Computer Vision Engineer at 42dot, responsibilities include researching and developing 3D computer vision and machine learning algorithms for autonomous driving technology, performing 3D shape modeling and processing, implementing object pose estimation and tracking algorithms, developing efficient and scalable vision solutions, exploring the intersection of vision and robotics, working on low-level and physics-based vision algorithms, conducting self-supervised representation learning from large-scale unlabeled scene data, and creating world models and closed-loop simulation for autonomous driving.
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