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Machine Learning Engineer - Live Agent & Speech Post-Processing$200,000 - $300,000San Francisco, hybrid (3x per week) Full time / PermanentThis company builds AI tools and devices that help professionals capture and use what's said in real conversations across meetings, calls, voice notes. It's profitable, bootstrapped, and scaling fast: $250M revenue run rate in under three years, used by over 1.5 million people globally.The product works. Now they need someone to make the live speech experience feel polished and seamless, fixing the small things that frustrate users at scale.What you'll doBuild and maintain test suites and automated evaluation platforms for multilingual, multi-model live systems. Covering hallucinations, casing, punctuation, number formatting, and segmentationSet up benchmarks for live agent systems: VAD false triggers, interruption latency, and turn-taking transitionsFix the friction points that hurt user experience: poor segmentation, inconsistent casing, hallucinated words Optimize VAD, barge-in models, and turn-taking logic to reduce end-to-end latency and false interruption ratesWhat "great" looks like1–3 years of hands-on experience in speech algorithm training, with a focus on pre- or post-processing, or full-duplex voice system optimizationYou've worked on ASR pre-processing or post-processing in a real productYou understand how live voice systems break and know how to fix themYou have published research at Interspeech or ICASSP, or possess speech-related patentsWhy joinProfitable company at ~$250M run rate - you'll see the impact of your work immediately in a product used daily by professionals worldwideDirect ownership of the live speech quality stack, not a supporting role in a large orgHybrid San Francisco team with real access to large, diverse, multilingual audio datasetsShort feedback loops - improvements ship fast and metrics are visibleClear path toward senior technical leadership as the audio team grows

Machine Learning Engineer - On-Device Speech Recognition$200,000 - $300,000San Francisco, hybrid (3x per week)Full time / PermanentThis company builds AI-powered tools that help professionals capture and use what's said in the real world of work - meetings, conversations, voice notes. It's profitable, bootstrapped, and growing fast: $250M revenue run rate in under three years, with over 1.5 million users globally.The product is working. The next step is making the speech engine significantly better by making it smaller, faster, and more accurate across every device and language it runs on.What you'll doDesign and train lightweight on-device ASR models (e.g. Streaming Transducer, CTC) that run efficiently on mobile and embedded hardwareCompress and optimize models using quantization, pruning, and knowledge distillationClean, align, and augment multilingual speech data; handle low-resource languages and noisy real-world conditionsWork closely with engineering teams to convert and deploy models into productionWhat "great" looks likeYou've trained or fine-tuned ASR models at production scale, not just in research settingsYou know at least one major ASR framework deeply (Wenet, Espnet, Icefall/K2, or Zipformer) and understand how they actually work at a structural levelYou've deployed on-device or offline ASR models and solved the messy problems that come with real hardware constraintsYou've done hands-on post-training quantization and know how to recover accuracy when it degradesMaster's or PhD in Computer Science, Signal Processing, or similar, and 3–5 years in speech algorithmsBonus: published research at ICASSP or Interspeech, experience with Zipformer / Paraformer / SenseVoice, or knowledge distillation from large speech models to compact ones.Why joinProfitable, fast-moving company. Your work ships and gets used by over a million peopleReal ownership of the on-device speech stack, not one task on a large team's backlogHybrid San Francisco team building both hardware and AI systems in parallelMeaningful datasets and global product scale to test and prove your workClear growth toward senior technical leadership as the audio function expands

AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day

Senior Technical Program Manager – Applied AI$180,000 – $200,000 Fully Remote (US East Coast preferred) Full-Time / PermanentA fast-growing AI language technology company is looking for a Senior Technical Program Manager to join their Applied AI team. They work with some of the world's largest organisations (including major government agencies and global enterprises) helping them translate and localise content at scale using cutting-edge AI. This is a hands-on programme management role. You will be overseeing the delivery of large datasets and custom engineering projects that are used directly to train and improve frontier AI models.Why JoinSmall, cross-functional teams where senior hires have real ownership over programmes end-to-endBacked by top-tier investors, this is a well-funded company with strong commercial tractionCompetitive base, equity, and benefitsWork that sits at the frontier of AI development, your programmes directly influence the next generation of large language modelsThe RoleYou will lead the delivery of complex technical programmes for major AI research partners. In practice, this means managing the pipelines that produce large volumes of high-quality training data - across text, audio, video, and image - and making sure that data reaches research teams accurately and on time.You will also oversee bespoke engineering workstreams, things like: retrieval-augmented generation (RAG) improvements, model evaluation projects, and synthetic data generation. You are the main point of contact for the AI researchers and engineers you work with, and you will translate their research needs into clear delivery plans.This is not a scrum master role. You need to understand what engineers are building and why, well enough to spot problems, ask the right questions, and earn the trust of technical teams on both sides.What We're Looking ForExperience managing large-scale data delivery programmes, ideally for AI or machine learning teamsA technical background. You don't need to write production code daily, but you should be comfortable reading it, reviewing it, and discussing it with engineersHands-on knowledge of modern AI concepts: training data pipelines, model evaluation, retrieval systems (RAG), and human feedback loops (RLHF)Experience working with multiple data types - not just text, but also audio, video, or image datasetsStrong stakeholder management skills at a senior levelAbility to operate in a fast-moving environment where priorities can shift with the latest research developmentsUseful but not essential:Proficiency in PythonFamiliarity with vector databases or agentic AI workflowsExperience working directly with AI research labs or frontier model teamsMultilingual backgroundWhat Success Looks LikeProgrammes delivered on time with clean, well-validated dataResearch partners feel well-supported and clearly communicated withEngineering workstreams run efficiently with minimal bottlenecksYou spot quality issues before they reach the modelTech / Domain ContextData pipelines · Multimodal datasets · RAG architectures · RLHF/RLAIF · Vector databases · Cloud infrastructure · RESTful APIs · Model evaluation

Your Role We are looking for a Quantum Design Engineer to help create and refine superconducting qubit architectures with built-in error resilience. The role focuses on maximizing coherence and fidelity while embedding error mitigation directly into circuit layouts and topology. You will take designs from simulation to fabrication and measurement, collaborating closely with fabrication and measurement teams to ensure theoretical advances translate into functional, scalable quantum devices. What You’ll DoDesign and simulate superconducting qubits and multi-qubit circuits, balancing high coherence with intrinsic error protection.Develop novel architectures that reduce reliance on external error correction through design-level solutions.Benchmark decoherence mechanisms and engineer circuit geometries to minimize loss, crosstalk, and noise sensitivity.Use electromagnetic and circuit simulation tools (e.g., HFSS, Sonnet, COMSOL, Qiskit Metal) alongside custom simulation workflows.Collaborate across disciplines to integrate design with fabrication and measurement protocols.Document and analyse results, using structured feedback loops to drive continuous improvement. Who You AreMSc or PhD in Physics, Electrical Engineering, or a related field.Expertise in superconducting qubits, circuit QED, or microwave quantum devices.Proficiency with electromagnetic and circuit simulation tools (HFSS, Sonnet, COMSOL, Qiskit Metal, or equivalent).Strong understanding of decoherence mechanisms and strategies to mitigate them through design.Experienced in connecting simulation results with experimental validation.Clear communicator and collaborator across design, fabrication, and measurement teams. What We OfferOpportunity to define and shape the architecture of next-generation superconducting quantum processors.Early-stage responsibility with direct influence on prototypes and roadmap.Collaborative, science-driven environment spanning design, fabrication, and experiment.Professional growth opportunities including mentoring, training, and leadership development.Competitive compensation and benefits, including relocation support

Quantum Engineer We are looking for a Quantum Engineer to lead the development of next-generation quantum wiring products and enable scalable quantum technologies. This role combines hands-on lab work, software development, and experimental quantum research to turn advanced concepts into real-world prototypes.About the RoleYou will help build and operate our first quantum test lab, develop and optimize wiring solutions for quantum systems, and work closely with experimental and engineering teams to advance scalable quantum hardware. You will interact with researchers worldwide to inform product development, and contribute to building a high-performing, cross-disciplinary team.Key ResponsibilitiesQuantum wiring software: Develop algorithms, simulations, and feature specifications for wiring optimization and scalingProduct roadmap execution: Design and integrate components into demonstrators and scalable quantum products.Test suite development: Build mechanical, microwave, and quantum test systems to validate prototypes and products.Engineering collaboration: Provide guidance, feedback, and design specifications to RF, mechanical, and fabrication teams.Team building: Help attract and onboard top-tier quantum engineers to the team.Who You AreA hands-on problem-solver and builder, passionate about scaling quantum technologies. You enjoy tackling diverse challenges, from algorithm development to hands-on assembly, testing, and troubleshooting. You thrive in fast-paced, multidisciplinary environments and take ownership of complex technical problems.Key QualificationsPhD in experimental quantum computing or a closely related field (solid-state qubits, superconducting circuits, spins, dots, graphene, etc.).Experience specifying, installing, and operating complete cryogenic measurement setups, including DC and RF wiring.Strong Python skills for simulations, analysis, and optimization across quantum devices, RF systems, and thermal models.Deep understanding of passive microwave engineering and networks.Expertise in superconducting quantum devices, including qubit design, readout resonators, and single-shot measurements.Excellent communication and collaboration skills in English.Bonus SkillsExperience in qubit, PCB, or semiconductor fabrication techniques.Knowledge of heat transfer, cryogenics, RF connectors, soldering, or microwave engineering.Proficiency in French.Personal AttributesHands-on builder: comfortable creating setups, scripts, and prototypes from scratch.Meticulous, systematic, and engineering-focused problem-solver.Autonomous, ambitious, and organized; able to drive projects forward independently.Transparent communicator who values collaboration, constructive feedback, and teamwork.Eager to learn, grow, and push the limits of what is possible in quantum hardware.

Lead Python EngineerWe’re working with an early-stage AI product company in London building software that automates real-world operational workflows using Python and applied AI.This is a hands-on engineering role focused on designing and building backend systems, APIs, and data-driven workflows that power AI features used in production. You’ll work closely with product and design to take ideas from concept to live features, integrating LLM capabilities into practical use cases.The role is around 80 percent coding and 20 percent leadership. Alongside building systems, you’ll mentor engineers, contribute to code reviews, and help shape technical decisions as the team grows.You’ll be responsible for:Designing and building scalable backend services using PythonDeveloping APIs that support core product functionalityIntegrating LLM and AI-driven features into workflowsImproving system performance, reliability, and maintainabilityCollaborating cross-functionally to deliver features end to endKey requirements:4 to 8 years software engineering experienceStrong Python backend skills, APIs, and frameworks such as FastAPI, Flask, or DjangoExperience building production systems in a startup or fast-paced environmentFamiliarity with cloud platforms such as AWS, GCP, or AzureExposure to AI, LLMs, or RAG is beneficialYou’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development.

AI Data Engineer (Contract, Remote – Europe) We’re looking for a contract AI Data Engineer to help build and scale data infrastructure that supports advanced analytics and AI use cases. This role focuses on creating robust data pipelines and enabling intelligent data processing in a cloud-first environment. What you’ll be doingBuild and maintain end-to-end data workflows to handle ingestion, processing, and transformation of diverse datasetsLeverage machine learning and generative AI approaches to enhance data preparation, including tasks such as extraction, tagging, and feature creationConnect data platforms with cloud storage and processing services, ensuring seamless integration with downstream AI and modelling workflowsImprove pipeline efficiency, scalability, and resilience through performance tuning and proactive monitoringWork closely with engineers, data specialists, and AI practitioners to deliver reliable data solutionsWhat we’re looking forStrong background in data engineering, with solid Python development skillsExperience working with large-scale or complex data environmentsExposure to AI/ML concepts and practical use of generative AI in data-related workflowsHands-on experience with Azure-based data platforms and servicesGood understanding of data governance, pipeline optimisation, and system reliabilityAbility to operate effectively in distributed, cross-functional teamsAdditional detailsFully remote (Europe-based candidates only)Applicants must have the right to work in their country of residence — no sponsorship availableQuick start preferred