Job Title: AI Researcher Location: Bay Area (Hybrid) Compensation: $250K–$290K + Equity We’re hiring on behalf of a fast-growing, well-funded Bay Area startup redefining video creation using generative AI. Their platform enables video-to-video generation — combining diffusion models, Gaussian splatting, and human-centric 3D rendering. In this role, you’ll:Research and deploy models for video generation, in-painting & 3D simulationWork on human-centric modeling (pose, movement, reenactment)Build on top of diffusion models, transformers, and neural rendering methodsCollaborate with a multidisciplinary team of researchers, engineers & artistsIdeal candidates have:A PhD (or equivalent) in AI, CV, or graphicsPublications in top venues (CVPR, NeurIPS, ICCV, SIGGRAPH, etc.)Strong experience with generative models or visual computingApply now to work on bleeding-edge visual AI with real-world impact.

Freelance GCP / Vertex AI Engineer – Remote (Europe) Location: Remote in the EU Contract: Until end of year, with strong potential for extension Start Date: ASAP We’re working with a leading consulting firm that supports major clients in the banking sector. As part of a high-impact AI initiative, they’re looking for a freelance GCP / Vertex AI Engineer to join the team immediately. The focus of this project is on building production-grade solutions for Conversational AI using Google Cloud and Vertex AI, including Agent Assist and Generative AI components. Responsibilities:Design and implement solutions using Vertex AICollaborate with cross-functional teams to support model development and deploymentContribute to the development of Conversational AI workflows, including retrieval-augmented generation (RAG)Ensure systems are scalable, secure, and reliable in production environmentsRequirements:Proven hands-on experience with Google Cloud Platform (GCP) and Vertex AIStrong track record deploying machine learning models into productionExperience implementing or supporting Conversational AI solutions, ideally involving:Agent Assist toolsDialogFlowMetadata filtering and boosting in data storesRAG architecture and evaluation strategiesPractical knowledge of LLMs (Large Language Models) in real-world use casesEnglish-speaking Available to start immediately

Role: AI Engineering Manager/Staff Engineer (Python / LLMs / Infrastructure)Location: Fully Remote (Europe)Salary: €110k-€135kEmployment Type: Full-time*Please note: Only candidates with Staff-level experience or above will be considered. Proven team leadership - whether as a Tech Lead, Staff Engineer, or Engineering Manager - is a core requirement for this role.*Join a fast-growing product company at the cutting edge of AI technology. This is an opportunity to lead a talented, cross-functional engineering team while staying hands-on with a modern, high-performance tech stack. Our client’s mission is to build one of the most human-like AI platforms in the world, with millions of users and a strong reputation across academia and media.We're seeking an AI Engineering Manager or Staff Engineer who combines strong backend engineering and infrastructure skills with proven leadership experience. You’ll play a pivotal role in scaling production AI systems, guiding technical direction, and helping drive delivery of sophisticated, LLM-powered solutions.Key Responsibilities:Lead and mentor a high-performing team of AI and backend engineersOwn and evolve the system architecture for AI/ML deployment at scaleBuild and maintain FastAPI-based microservices with Python async patternsManage AI-related infrastructure: containerization (Docker), CI/CD (GitHub Actions), observability (Datadog)Design and support scalable data pipelines using Redis, MongoDB, and KafkaIntegrate with LLMs (OpenAI, Anthropic, LLaMA) and vector databases (e.g. Pinecone)Oversee structured logging and system monitoringCollaborate cross-functionally across AI research, DevOps, and product teamsSupport a robust, high-scale environment (serving 500K+ users)Help shape best practices in software engineering and team cultureCore Requirements:5+ years of backend development experience in PythonLeadership background: experience managing engineering teams or squadsDeep knowledge of Redis (asyncio), MongoDB schema design, and FastAPIHands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and vector databases (e.g. Pinecone)Familiarity with LLaMA models and deployment patternsProficient in Docker and docker-compose for environment managementSolid experience with Kafka in event-driven architecturesExpertise in CI/CD with GitHub Actions and observability tooling (e.g., Datadog)Track record of shipping systems at scale (500K+ users or more)Excellent communication skills and stakeholder collaboration abilitiesA “startup mindset”: proactive, adaptable, and comfortable with ambiguityNice to Have:Experience with Kubernetes and deployment orchestration tools (e.g. Quadrant)Scala familiarity or willingness to learnPrevious work in AI/ML product teams or research-led environments

AI Solutions Director Compensation: $170,000 - $230,000 Location: RemoteReady to shape the AI infrastructure powering tomorrow’s LLM and GenAI breakthroughs?Join a high-growth, venture-backed company on a mission to transform how large organisations build and scale AI solutions. As a Director of AI Solutions, you’ll partner with enterprise leaders across industries, guiding them through the complex challenges of AI data strategy, pipeline design, and LLM deployment - all within a platform consistently rated #1 by its users.This is your opportunity to sit at the head of the table when it comes to strategy, operations, leadership, and cutting-edge AI - all while owning high-impact programmes and influencing product direction from the ground up.Why This Role?Direct LLM/GenAI initiatives, working hand-in-hand with Fortune 500s and global enterprisesCompetitive base salary plus equity/stock optionsFully remote within the US, just align with client hoursLead with a platform that customers love (literally top-ranked)Influence strategy, own complex delivery, and grow with the businessFull health cover, 401(k), flexible time off, training budgets & more The Role:Own strategic delivery and lead AI data projects from use-case discovery to execution and scale, with a focus on LLMs and GenAI systemsAct as the senior point of contact for VP/CTO-level stakeholders at some of the world’s biggest companies. Grow accounts through trusted advisory and solution excellenceBuild, lead, and mentor high-performing project teams and foster a culture of ownership, speed, and continuous improvementBuild robust project plans, flag risks early, and optimise resource allocation across multiple client workstreamsTranslate complex client needs into deliverable AI/ML workflows, coordinating with internal product and engineering teamKeep on top of GenAI and LLM trends and bring insights back into projects, delivery models, and client conversations About You:10+ years in technical solutions, delivery, or technical leadership roles, ideally in fast-paced and client-facing environmentsDeep familiarity with LLM use cases and GenAI infrastructureProven track record of managing multi-threaded enterprise projectsComfortable managing relationships with VP or C-suite clients, ideally at enterprise scale businessesHands-on understanding of at least one modern programming language, such as Python or JavaScriptStrong analytical mindset - comfortable with financial modelling, margin tracking, and forecastingA background in Computer Science, Engineering, Mathematics, or similar (MBA a plus)Comfortable working varied hours depending on client requirements (PST – EST)This is an incredible chance to build the infrastructure that GenAI depends on, with a fantastic company culture and scope for growth. If this excites you, apply now for more info!

Principal AI Researcher - Dublin, Ireland An international tech lab is expanding its applied AI research centre, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)

Programming Languages Researcher (Rust) | Remote / Europe / EU citizen / 12 month contract A world-class engineering lab is pushing the boundaries of systems programming using Rust to build safe, high-performance infrastructure across mobile, cloud, and embedded platforms. They’re now hiring a Programming Languages Researcher to lead cutting-edge work at the intersection of programming languages, hardware acceleration, and AI systems. What You’ll Do:Design and prototype advanced Rust features and tools for real-world system challenges.Work directly with GPUs, NPUs, and other hardware accelerators, using Rust to simplify low-level, mechanical programming.Optimize software stacks by replacing existing C++ libraries (e.g., PyTorch, TensorFlow) with Rust-based implementations, looking to improve performance while avoiding regressions.Contribute to internal efforts using custom hardware (e.g., Huawei’s in-house NPU) designed for complex model architectures.Collaborate with engineering and research partners to drive large-scale adoption of Rust across critical systems.Influence the technical roadmap for safer, faster systems programming.What You’ll Bring:PhD (or equivalent experience) in Programming Languages, Operating Systems, or related field.Deep Rust expertise with a focus on performance and memory safety.Strong understanding of hardware architectures, programming intrinsics (e.g., GPU intrinsics), and systems-level optimization.Experience with C/C++ to Rust migration, and applying Rust in accelerator-rich environments (GPU, TPU, NPU).Excellent technical communication and leadership skills.Why Apply? This is a rare opportunity to work on impactful systems at the convergence of language research, AI, and hardware acceleration.

AI Reinforcement Learning Specialist (Humanoid Robotics) Location: Pischelsdorf, Austria (Hybrid/Remote flexibility available) Company: Rosendahl Nextrom Employment Type: Full-TimeIMPORTANT: For this position we can only hire EU Citizens. We can support relocation for EU citizens. Our Client is a global technology leader in high-precision equipment for the battery, cable, wire, and fiber optic industries.  As they expand into AI and robotics, they are building a forward-thinking engineering team to develop humanoid labour as a service - a breakthrough offering for smart logistics, production, and beyond.We are seeking an AI Reinforcement Learning Specialist to train humanoid robots in both simulated and real-world environments. You will play a pivotal role in building the foundation of this new initiative, applying cutting-edge deep reinforcement learning to extend the intelligence and autonomy of robotic systems for industrial use. This is a startup-like environment within a well-established global engineering company - ideal for engineers who want autonomy, innovation, and impact. ResponsibilitiesDesign, train, and validate reinforcement learning models for humanoid robotic systems in simulated and physical environmentsIntegrate and optimize training using environments like Isaac SIM, MuJoCo, Unitree Sim, and OmniVerseDevelop robust, real-time systems with ROS 2, Linux, and C++/PythonCollaborate with mechanical, electrical, and AI teams to implement and test solutions on real hardwareUse tools such as GROOT, N1, and Cosmos to streamline deployment and visualizationResearch and apply state-of-the-art reinforcement learning algorithms for robotics (PPO, SAC, DDPG, etc.)Work toward a scalable ‘humanoid labor as a service’ platform adaptable to our industrial customer baseIdeal Candidate ProfileMSc or PhD in Robotics, Computer Science, AI, or related fieldProven experience applying reinforcement learning to robotic systemsHands-on expertise with simulators such as Isaac SIM, MuJoCo, and OmniVerseStrong skills in C++, Python, and working in Linux environmentsExperience with robotic middleware (ROS 2), sensors, actuators, and real-world integrationExcellent communication skills and a startup mindset—comfortable working in fast-moving, interdisciplinary teamsWhat We OfferCompetitive compensation package, tailored to candidate experience and market ratesFlexible working hours and hybrid/remote work possibilitiesOpportunity to work on a greenfield project with high visibility and executive supportCollaborative and innovation-driven environment, backed by Rosendahl Nextrom’s global reachAccess to internal and external training, conferences, and technical mentorshipVision & Mission This project is part of our long-term vision to deliver humanoid labor as a service—unlocking advanced robotics for industrial automation, logistics, and beyond. As this is a strategic new direction, you will have a voice in shaping not only the technology but also the business model behind it.

An international tech lab is expanding its applied AI research centre, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)