Speech And Language Therapist Jobs

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We are looking for a Member of Technical Staff, Infrastructure Compute to lead and manage large-scale GPU computing clusters powering our AI training and deployment workloads. You'll work at the intersection of systems engineering and machine learning infrastructure, owning the reliability, scalability, and efficiency of the compute platform that our research and engineering teams depend on. This is a high-impact, highly technical role suited for someone who thrives in complex distributed systems environments and cares deeply about infrastructure as a product. Responsibilities Design, implement, and maintain Infrastructure as Code (IaC) best practices to enable repeatable, auditable, and scalable cluster provisioning. Enhance and harden CI/CD deployment pipelines to ensure robust, secure, and low-latency model service delivery across production environments. Own and evolve stable training infrastructure operating at the scale of 10,000+ GPUs, including job scheduling, fault tolerance, and network fabric optimization. Partner closely with ML researchers and engineers to understand compute bottlenecks and translate them into infrastructure improvements. Monitor system health, define SLOs, and lead incident response for critical training and

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the backend systems that make Hark's AI agent actually work — reliable, fast, and production-grade. That means the hard infrastructure problems: high-concurrency services, low-latency streaming, state management for long-running agent workflows, and the execution layer that connects model outputs to real-world actions. You are building the nervous system of an agentic product. This is a high-ownership role on a small team. You'll work directly with model researchers and platform engineers, and the systems you build will determine whether Hark feels like a slow chatbot or something genuinely new. Responsibilities Core Runtime Architecture: Design and build the high-concurrency backend services responsible for agent orchestration, tool execution, and real-time streaming. Systems Reliability: Develop robust failure-handling, retry logic, and state management for long-running agentic workflows. Platform Primitives: Architect the foundational APIs and services—including memory retrieval systems and sandboxed execution environments—that power the entire Hark ecosystem. Performance Engineering: Optimize the stack for low-latency streaming and high-throughput data processing to ensure seamless agent-user interactions. Full-Cycle Owne

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the iOS experience for Hark: a native app that brings a real-time, multimodal AI agent into people's pockets. That means shipping an app that feels instant, handles streaming AI responses gracefully, and integrates voice, text, and vision into a single coherent experience. The bar is high: this is the primary way millions of people will interact with Hark. This is a high-ownership role on a small team. You'll work directly with designers, platform engineers, and the people building the models. What you ship will define how Hark feels in someone's hand. Responsibilities Build and own the Hark iOS app. Architecture, UI, performance, and the end-to-end experience. Ship features that integrate real-time AI capabilities: streaming responses, voice input, tool invocations, and multimodal interactions. Work closely with designers to craft interfaces that feel fast, polished, and trustworthy. Sweat the details. Optimize for performance at every layer: startup time, animation smoothness, memory efficiency, and network latency. Own components end-to-end, from design and implementation through testing, launch, and iteration. Collaborate with platform and backend engineers on APIs, data contracts, and integration with the agent runtime.

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Embedded Software team owns the software running on Hark’s next generation of AI hardware, and we are looking for an Embedded BSP Engineer to join the team. You will own critical pieces of the firmware across the stack that powers Hark's consumer products, from board bring-up, vendor code integrations, to custom peripheral drivers and integrations, FPGA-based system integrations, and system power and performance improvements. Responsibilities Develop and maintain embedded firmware in C/C++ targeting ARM-based SoCs and microcontrollers Own BSP development, board bring up, peripheral drivers (SPI, I2C, UART, I2S etc.), and system integration Working closely with vendors on system integration and validation Working with Hardware and Software team to ensure our hardware are built and functioning to the specifications Optimize power consumption and thermal performance for always-on, battery-powered operation Debug complex hardware-software interactions using logic analyzers, oscilloscopes, and JTAG Requirements 5+ years of professional firmware or embedded systems development Strong proficiency in C and/or C++ in resource-constrained environments Experience with ARM Cortex-M or Cortex-A processors Hands-on experience wi

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the platform that powers Hark's AI agent — the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production. That means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage. You will be building the foundation that everything else runs on. This is a high-ownership role on a small team. You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both. Responsibilities Build the core runtime that powers Hark's agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together. Own features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage. Architect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines. Instrument and evaluate the product. Write evals, track quality regressions, and feed signals back into the model and product loop. Work across th

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Team You'll build the product surfaces of Hark — the interfaces and experiences users interact with every day across voice, text, and vision. That means translating what our agent can do into something that feels fast, intuitive, and trustworthy. The gap between a capable AI and one people actually want to use is a product problem, and this role owns it. This is a high-ownership role on a small team. You'll work directly with designers and model researchers, and what you ship will define how people experience Hark. Responsibilities Design and build the product surfaces of Hark. The interfaces, conversations, and agentic experiences that users interact with every day across voice, text, and vision. Work closely with designers to ship interactions that feel fast, reliable, and genuinely useful. The details matter here. Own features end-to-end, from early prototyping to production deployment and iteration based on real usage. Build the frontend for agent workflows that integrate tool use, memory retrieval, and multi-step reasoning. Making model capabilities feel coherent and trustworthy to the person using them. Instrument and evaluate what you ship. Track quality, gather signal, and improve. Requirements Strong frontend engineering fundamentals.

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you’ll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitious R&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We en

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you’ll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitious R&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We en

We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions. Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics’ mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving. What you’ll be doing: Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable Guide the adoption of best practices in software engineering Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals Who we are looking for: Demonstrable experience in guiding and mentoring ML engineers Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics Strong understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures, related concepts (e.g., GQA , KV -caching) and best practices - Expertise in distributed training techniques - Familiarity with optimisation strategies for m

We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions. Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics’ mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving. What you’ll be doing: Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable Guide the adoption of best practices in software engineering Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals Who we are looking for: Demonstrable experience in guiding and mentoring ML engineers Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics Strong understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures, related concepts (e.g., GQA , KV -caching) and best practices - Expertise in distributed training techniques - Familiarity with optimisation strategies for m

About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs, we enable users to harness the full potential of diverse AI modalities effectively and at scale. About the Role: We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time multimodal interactions and image generation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images. In this role, you will: Build, mentor, and grow a high-performing engineering team focused on multimodal API products—including image generation and Live API . Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap. Work closely with our research teams to improve our core multimodal models for API customer use cases. Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience. Foster a culture of innovation, continuous improvement, and accountability within your team. Qualifications: Proven experience managing engineering teams that deliver complex, high-quality products at scale. Strong technical background and proficiency in modern software engineering practices and system architecture. Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders. Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation. Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications: Experience developing multimodal systems or APIs in

About Hark Hark is an artificial intelligence laboratory, building the most advanced, personal intelligence in the world. We believe that artificial intelligence can be used to help offload our mental workload through thinking like us and sometimes ahead of us. Intelligence that is proactive and personalized through new models capable of interacting with the world through speech, text, vision and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. About the Role The Embedded Software team owns the software running on Hark’s next generation of AI hardware, and we are looking for an Embedded Software Engineer to build the system software at the heart of it. You will design, implement, and debug system-level components and services that span the kernel, user space, and the microcontroller domains, and you will work across RTOS, bare metal, and Linux environments on the same product. This is a systems software role. You will partner with the BSP, platform, UX, firmware, and hardware teams to make the device work as one product. Responsibilities Design, implement, and debug system-level components and services across kernel, user space, and MCU domains Develop system software on RTOS and bare metal environments as well as embedded Linux Build and maintain interfaces across the stack to deliver end to end features Run performance analysis and produce memory and power profiles, then close the gaps they expose Partner with the BSP, platform, and UX teams so system software, drivers, and user-facing behavior land together Debug across layer and process boundaries, from a user space service down to the hardware Requirements 5+ years of professional embedded software development experience

At Speechmatics, we are always keen to connect with new people. If you don't see a role that matches with your experience please share your details here. Please complete the details below, and we'll keep you in mind for the future. We will reach out when something suitable comes up! We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we’re looking for amazing people like you to continue our journey… What we can offer you: No matter what stage of your career you’re at - from paid internships and first-job opportunities t

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Global Events Studio Team creates exceptional live and recorded video for Press, Marketing, Developer Experience, and Communications. About the Role The Audio Engineer will be the senior audio authority for high-profile livestreams, broadcast-style productions, studio recordings, public venue events, and critical on-location shoots. This person will design resilient audio systems, serve as A1 when failures are immediately visible, and deliver exceptional spoken-word audio across live, recorded, remote, and AI-enabled production workflows. In this role, you will: Own audio design and A1 execution for complex broadcasts, live stage events, podcasts, and critical film/on-location shoots Build and operate redundant program, stream, multitrack, camera, backup-recorder, and archival audio paths with real-time monitoring and recovery procedures. Mix full-duplex speech-to-speech audio between humans and AI models Design, commission, standardize, document, and improve audio signal flow for studios, control rooms, event spaces, and portable production systems. Rapidly assess unfamiliar venues and design reliable systems around acoustic, power, network, access, RF, and footprint constraints. Lead rigorous preproduction: technical designs, input lists, patch plans, frequency plans, rehearsals, testing, monitoring, redundancy, and fallback capture. Diagnose and repair signal-chain, DSP, synchronization, routing, RF, networking, and hardware faults during live production. Lead audio crews and freelancers, challenge flawed technical plans, and communicate decisive options under pressure. Own multitrack recording, editorial handoff, backup, delivery, and archival workflows across professional formats and specifications. You might thrive in this role if you have: 8+ years engineering complex live, broadcast, and studio production, including high-profile livestreams

About the role We're hiring a Program Manager, Performance Effectiveness to help improve how we measure, manage, and drive performance across Chime's Member Experience organization. You'll work closely with BPO partners, operational leaders, and cross-functional teams to turn performance data into meaningful improvements for our frontline teams and members. This is a high-impact opportunity to build scalable performance frameworks and influence operational strategy through analytics, automation, and continuous improvement. You'll also help shape how we use emerging AI-driven evaluation tools to improve quality and operational effectiveness at scale. In this role, you can expect to Build and operationalize scalable performance effectiveness frameworks across BPO teams, including consistent scorecards and evaluation methodologies. Partner with BPO vendors and internal operational leaders to identify performance gaps, drive accountability, and improve outcomes. Analyze manual audits, speech analytics, and operational reporting to uncover trends and turn insights into actionable recommendations. Develop and maintain performance dashboards, scorecards, and business review materials that help leadership make informed decisions. Identify opportunities to continuously improve processes, performance monitoring tools, and member experience workflows. Collaborate with operations, analytics, Member Experience, and other business teams to align performance strategy and execution. Help improve the adoption and effectiveness of performance evaluation tools, including opportunities to leverage automation and AI-driven capabilities. To thrive in this role, you have 3+ years of experience in contact center quality, performance management, or operational effectiveness. Demonstrated success driving measurable performance improvements with BPO vendors or internal operations teams. Strong analytical skills and an ability to translate complex data into clear, actionable recommendations. E