Benjamin Reavill

Applied AI Researcher  $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are recruiting for an Applied AI Researcher possessing deep expertise in contemporary large language model frameworks and demonstrated experience implementing generative AI solutions in production environments. Key ResponsibilitiesMonitor and analyze emerging trends in generative AI and assess their strategic application potentialEvaluate new methodologies and technologies for integration into existing systemsArchitect, develop, and maintain sophisticated LLM-based applicationsManage complete machine learning pipelines encompassing data preprocessing, model development, performance evaluation, and deployment operationsTranslate complex technical concepts for diverse audiences, from technical specialists to business stakeholdersPrepare comprehensive documentation and presentations on research findings and technical decisionsPartner with software engineers, UX designers, and data science teams to deliver innovative AI-powered solutionsContribute to product strategy and technical roadmap development About YouBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related quantitative field – PhD desirable!Minimum 3 years of hands-on experience in machine learning and AI developmentProven track record of successfully deploying AI models in production environmentsExperience with enterprise-scale AI implementationsAdvanced Python abilityExtensive experience with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXDeep understanding of machine learning algorithms, data structures, and optimization techniquesUnderstanding of MLOps practices and deployment strategiesIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

AI Engineer $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments. Key ResponsibilitiesArchitect, implement, and maintain LLM applicationsOversee complete ML lifecycle managementHandle data analysis, processing, and model architecture designDevelop training protocols, evaluation metrics, and MLOps infrastructureMonitor and analyze emerging trends in GenAI technologiesEvaluate potential applications of new developments for product enhancementContribute to strategic technical decision-makingPresent technical concepts to diverse audiences with varying technical backgroundsContribute to innovative AI solution development across multiple product areas About YouMinimum 3 years of ML experienceDemonstrated success deploying scalable AI models in production environmentsAdvanced programming capabilities with PythonProficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXExperience with model optimization and deploymentBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similarPhD or equivalent industry experience preferred Preferred QualificationsPublished research in recognized AI/ML conferences or journalsActive contribution to relevant open-source projectsParticipation in competitive ML platforms (Kaggle, etc.)Engagement with AI/ML professional communitiesPrevious experience in startup or scale-up environmentsIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

Software Engineer (Full stack & AI) Location: Menlo Park, California, United States (On-site)Type: Full-time/permanentIf you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!  As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases. Key ResponsibilitiesArchitect and build backend systems to manage user data and support highly concurrent AI-driven workflows.Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery. What You Bring2–5+ years in backend engineering, ideally in AI/LLM-powered environments.Strong fluency in Python, Java, or Go, and modern frameworks.Experience working with SQL/NoSQL databases and big data pipelines.Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.Practical knowledge of streaming architectures (WebSockets, SSE).Hands-on AI integration experience: prompt engineering, secure model execution, context management.Excellent problem-solver, communicator, and collaborative teammate. Team & CultureSmall, agile team blending engineering with applied research.US-based, in-person environment with visa sponsorship offered.Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.Fluid, ambitious culture with a strong emphasis on ownership and impact. Why You’ll Love Working HereCrafting systems that redefine agent/user interactions.Innovating in a space few have the vision, or freedom, to explore.Positioned for growth, your work here shapes the product and roadmap.Within a hub next to Stanford and deep into the Bay Area’s AI ecosystemApply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.

Research Engineer – AI Systems R&D Location: Menlo Park, California, United States (On-site)Type: Full-time/permanent Are you excited by the challenge of translating cutting-edge AI research into real-world applications? Do you thrive at the intersection of engineering and innovation, building experimental frameworks and tools to accelerate scientific discovery?An Applied AI Research company in Menlo Park is looking for a Research Engineer to join its advanced R&D team. In this hands-on role, you’ll help bridge the gap between exploratory research and deployable systems - playing a key part in the development of next-generation intelligent agents and AI architectures. What You’ll Be Doing:Implement and iterate on novel machine learning techniques, tools, and benchmarksBuild infrastructure that supports large-scale experimentation and performance evaluationEvolve internal agent frameworks, focusing on efficiency, adaptability, and scalabilityCollaborate with researchers to translate new ideas into practical prototypes and working systemsMaintain a high-quality codebase, leveraging version control, CI/CD, and peer reviewsWhat We’re Looking For:Background in software engineering with experience working on ML or AI-centric systemsProficiency in Python and/or C++, with a deep understanding of code optimisation and system-level designFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow) and experience building tools that support research workflowsStrong grasp of experimental methods, benchmarking, and AI evaluation metricsCreative problem-solver with a collaborative mindset and solid communication skillsWhy This Role?Work at the forefront of applied AI research with a team that values technical depth and creative freedomShape early-stage systems with the potential to influence future product design and capabilitiesJoin a tight-knit, high-impact team tackling some of the most compelling challenges in modern AIIf you're ready to build and scale the backbone of AI research and deployment, we’d love to hear from you! Apply now to learn more with a confidential conversation.

Director of Product Management Location: New York (3 days in office)Compensation: $180,000 - $230,000 A fast-growing AI start-up is on a mission to redefine how brands engage their audiences. This platform puts AI on the front lines - empowering organisations to connect directly with consumers through intelligent, brand-safe agents deployed across owned and paid channels.As their Director of Product, you'll shape and lead the roadmap for a next-generation platform at the heart of AI-powered consumer engagement. You'll work cross-functionally to turn ambiguous problems into clear, high-impact product strategies, while collaborating with enterprise partners, internal teams, and company leadership to deliver exceptional outcomes. What You’ll DoDefine and own the product roadmap, balancing vision with rapid execution and measurable success metricsDesign and launch innovative new features that harness AI to deliver value across marketing, customer experience, and brand engagementWork closely with design, engineering, and go-to-market teams to bring new concepts to lifeTranslate customer and stakeholder needs into scalable product solutionsContinuously evaluate market trends and emerging technologies to inform product strategy and positioningCommunicate product direction with clarity and influence at all levels, from team leads to C-suiteWhat You Need10+ years of product management experience, ideally with 4+ years in marketing tech, advertising tech, or customer engagement platformsBachelors or Masters degree within relevant technical/scientific fields Proven track record leading AI-focused product initiatives and go-to-market launchesHighly analytical mindset paired with a passion for elegant, user-centric designStrong communication skills, able to align diverse stakeholders around a clear product visionComfortable working in a fast-paced, evolving environment where innovation and agility are keyApply now to learn more with a confidential conversation!

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!