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 As we scale our operations, we're looking for a Senior People Operations Specialist to run the day to day HR engine for our workforce including onboarding, compliance, timekeeping, and employee support while helping build and improve the systems behind it. This is a hands-on, high volume role for someone who takes pride in getting the details right every time. Responsibilities Onboarding & Off-boarding: Build and run an end to end onboarding process for new hires: Offer to start handoffs, background check tracking, new hire paperwork, orientation logistics, badges/equipment coordination, and day one readiness Own I-9/E-Verify completion, re-verification, and record-keeping, maintaining audit-ready files at all times Execute off-boarding, including final pay coordination in line with California timing requirements, system deactivations, and exit documentation People Support & Administration: Maintain accurate, confidential employee records and personnel files across all employees Process HRIS transactions (new hires, changes, terminations) with a high bar for data accuracy Prepare employment verifications, notices, and required documentation Serve as the first point of contact for all HR questions across the company including benef
Jobiba hiring network
Speech And Language Therapist Jobs
815 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current speech and language therapist jobs. Use filters to narrow by work mode, employment type, experience and date posted.
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're looking for an experienced Acoustics Lab Manager to run Hark's acoustic test lab and serve as lead technician for the audio team. You will own the physical infrastructure every acoustic measurement at Hark depends on: the anechoic chamber and corresponding measurement facilities, turntable and microphone arrays, and the calibration, maintenance, and inventory systems that keep the labs organized. You will design and execute test flows spanning axial and polar measurements, power response, time-domain characterization, and make sure every measurement coming out of the lab is repeatable and defensible. This is hands-on work at the center of how Hark verifies and communicates acoustic performance. Responsibilities Own and maintain the acoustics lab: reference room, anechoic chamber, turntable, microphone arrays, preamps, and supporting instrumentation Set up and execute acoustic measurement campaigns: axial and polar response, power response, spinorama (CEA-2034-style), frequency response, distortion, and more Implement automation where necessary to enhance repeated test flows Define and maintain test procedures and SOPs so measurements are repeatable across sessions and product programs Own the full inventory of lab equipment and supp
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're looking for an experienced Audio DSP Deployment Engineer to own how our audio algorithms work on device. Our algorithm team prototypes and validates new audio processing on the desktop in MaxMSP, JUCE, Python, and MATLAB, but the on-device implementation is its own design problem: what runs where, at what precision, in what block size, and within what compute, memory, and latency budget. You will own that design, reworking and extending algorithms so they hold up in real time on the embedded DSP cores inside our products, tuning them against real hardware and real acoustics, and carrying them through to a shipping feature. This is hands-on work close to silicon with genuine ownership of the on-device audio chain, and direct influence on how the product sounds and listens. Responsibilities Own the on-device design of the audio algorithm chain: what runs where, at what precision and block size, and within what compute, memory, and latency budget Take algorithms from desktop prototype in MaxMSP, JUCE, Python, and MATLAB to production C/C++ running in real time on the embedded DSP cores, re-architecting them where the target demands it rather than transcribing them Develop, tune, and extend algorithms directly on device, and propo
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 Hark is seeking a Patent Agent to build the software side of our patent portfolio from the ground up. This person will own drafting and prosecution across our models, inference systems, and platform software, and will shape how the company decides what to protect as its research moves from experiment to product. This role sits inside Legal but lives with research and engineering. You will work alongside the people building our foundation models, on-device inference, agentic systems, and product software, finding the inventions before anyone has thought to write them down. Then you will go draft the applications yourself. Software patents are won or lost on subject-matter eligibility, and the work of getting a claim allowed starts long before the first office action. It starts in the specification, and before that, in understanding the technical problem well enough to say precisely what the invention improves. This is a hands-on opportunity for someone who wants to author that strategy rather than inherit it. Responsibilities Build and execute the patent strategy for Hark's models, inference systems, and platform software, including portfolio architecture across foundation models, on-device deployment, agentic systems, and product so
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 Hark is seeking a Patent Agent to build the hardware side of our patent portfolio from the ground up. This person will own invention harvesting, drafting, and prosecution across our hardware technologies, and will shape how the company decides what to protect as its products move from architecture to prototype to production. This role sits inside Legal but lives with engineering. You will be in design reviews and prototype reviews, sitting with electrical, mechanical, systems, firmware, and product design engineers, finding the inventions before anyone has thought to write them down. Then you will go draft the applications yourself. A strong portfolio is not measured by the number of patents filed. It requires knowing which technologies will matter most, anticipating how products and competitors will evolve, and obtaining claims that protect the underlying innovation rather than one implementation of it. This is a hands-on opportunity for someone who wants to author that strategy rather than inherit it. Responsibilities Build and execute the patent strategy for Hark's hardware products and platform technologies, including portfolio architecture across core, platform, and product-specific innovations Work directly with electrical, me
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 Recruiting Coordinator owns the machinery behind Hark's hiring: interview scheduling, candidate communication, our ATS, and the reporting that tells us whether the process is working. You will be the first person to touch most candidates after a recruiter does, and often the last person they see on an onsite day. The experience you create is a large part of how candidates decide whether Hark is a place they want to be. Responsibilities Manage candidate logistics and communications while balancing the needs of candidates, recruiters, and hiring managers. Own the day-to-day administration of our ATS (Greenhouse), including configuration, data hygiene, troubleshooting, and ongoing optimization. Build and maintain recruiting reports and dashboards that provide visibility into pipeline health and support data-driven decision-making. Design and launch new recruiting programs, processes, and tools; lead enablement sessions for recruiters and interviewers and serve as the ongoing point of contact. Proactively identify process gaps and operational issues, and resolve them before they become bottlenecks. Maintain and optimize our talent operations stack, ensuring ATS, scheduling, sourcing, and other recruiting tools are integrated and running s
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 is responsible for the software running on Hark’s next generation of AI hardware, and we are looking for an experienced DevOps Engineer to join our team. You will be working cross functionally with the Firmware, Device Software, QA, Manufacturing and Operations team. You will architect and implement our CI/CD pipelines, create and maintain build and release infrastructure, develop internal tools, manage automation and artifacts, and constantly improve our build, deployment, and infrastructure for all Hark devices. Responsibilities Develop, maintain, and optimize our CI/CD pipelines to support embedded software delivery, including internal clients Administer build infrastructure, including job configuration, plugin management, and performance tuning. Monitor and troubleshoot build systems, ensuring high availability and rapid response to issues. Scale infrastructure to meet growing demands and proactively address performance bottlenecks. Ensure security, compliance, and best practices across build and deployment systems. Manages device OTA, scheduled rollout, and fleet management Requirements 5+ years of practical experience in DevOps for Embedded Systems and/or consumer electronics products Advanced
As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey, from discovery and solution design to proof-of-concept delivery and technical validation. This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems. You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers. What You’ll Be Doing Partnering with Sales to lead the technical pre-sales process from discovery to close Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs) Deploying and configuring environments in cloud or on-prem setups for customer evaluations Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing Troubleshooting customer challenges and guiding them toward successful outcomes Delivering engaging technical presentations to customers, partners, and events Supporting conferences and showcases globally, including international travel, to deliver compelling technical demonstrations Sharing knowledge internally and helping Sales stay up to date as our platform evolves Who We’re Looking For: Previous experience working in a customer-facing technical role (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar) Hands-on programming ability - ideally Python/JavaScript Comfortable working with APIs (REST an
We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe
We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe
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 As an Embedded AI Engineer, you will work closely with the AI research team to bring AI to Hark’s next-gen hardware. You will be responsible for the full AI stack on the device, including data ingestion, model development, optimization, and deployment on embedded devices. You should have deep understanding of the constraints of an embedded system (compute, memory, power etc) and leverage your expertise in both embedded system software development and AI model deployment to deliver production-ready ML solutions on hardware Responsibilities Build data collection and ingestion pipelines for an embedded system including various sensors, at scale Work closely with model teams to co-design model architectures that meets the required latency, memory, power, and bandwidth Work with platform vendors to bring up toolchains, SDKs and new accelerator to ensure efficient model deployment and optimization Integrate ML inference into embedded firmware written in C, C++, or Rust Profile and optimize memory usage, power consumption, and real-time performance Evaluate and select silicon platforms (GPUs, NPUs etc.) for Hark’s next gen on-device and edge deployment of a wide range of models Requirements 5 years of experience in machine learning
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 hands-on System Validation Engineer to join our growing team. In this role, you will be a key contributor in our hardware lab, rigorously characterizing our system's performance, flagging issues early, and building the automated test infrastructure that will help us scale. As a System Validation Engineer, you will be the critical bridge between our hardware and software. You will champion the end-user experience by ensuring our systems work flawlessly together. Responsibilities Define, measure, and document key system performance metrics, with a strong focus on power consumption, system latency, and overall stability. Rigorously test iterative hardware and software releases, tracking regressions and validating performance improvements over time. Ensure Hark's hardware designs integrate seamlessly with software. Proactively test real-world use cases to identify, expose, and document system-level bottlenecks before they reach the user. Design, build, and maintain automated test setups to streamline repetitive testing processes, improve reliability, and increase overall test coverage. Meticulously track and document bugs. Work closely with the design team to triage issues, diagnose root causes at the system level,
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're looking for a Product Design Engineer with deep simulation and structural analysis expertise to help us build hardware that holds up to the demands of daily life. You'll be the analytical backbone of Hark's mechanical engineering team — using FEA and coupled simulation methods to validate design decisions, predict failure modes, and drive structural, thermal, and dynamic performance from the earliest stages of development through production release. This is a hands-on role where simulation directly shapes design: you'll work closely with product design engineers, industrial designers, and reliability teams to ensure that what we build is not just beautiful, but durable, precise, and manufacturable at scale. Responsibilities Lead structural, thermal, and dynamic finite element analysis (FEA) across Hark's hardware portfolio — enclosures, mechanical assemblies, flex systems, and interconnects — from concept through design validation Develop simulation models and methodologies that accurately predict real-world performance under drop, vibration, fatigue, thermal cycling, and mechanical load conditions Translate FEA findings into actionable design recommendations, collaborating directly with product design engineers to iterate geometry,
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 an exceptional Electronics Strategic Supply Chain Manager to own the sourcing strategy, commercial execution, and supply readiness for critical electronics used in next-generation AI hardware. This role is designed for a hands-on, high-ownership GSM with experience in high-volume electronics environments, including PCBA, EMS / contract manufacturing, semiconductor and passive components, RF / connectivity modules, flex circuits, and other board-level or module-level technologies. This is a build-and-scale role, not a maintenance role. You will define the electronics supply base, lead strategic sourcing decisions, negotiate commercial agreements, drive cost and capacity outcomes, and ensure suppliers can support aggressive NPI and mass production ramps. You will partner closely with EE, ME, PD, firmware, quality, operations, finance, legal, and manufacturing partners to move technologies from concept and prototype through New Product Introduction and sustained production. The ideal candidate has strong electronics commodity depth, sharp commercial judgment, technical fluency, and the operating intensity required to solve difficult allocation, lead ti
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 an incredible Manufacturing Design Engineer to bridge the gap between design intent and the physical product at Hark. You will work with ID and PD, ensuring that what we conceive is built exactly as imagined at quality and scale. This is the role where craft meets constraint. You understand materials, processes and tolerances at a deep level, and you use that knowledge to protect the integrity of the design all the way through production. You've worked closely with factories, tooling engineers and supply chain partners, and you know how to navigate that world without compromising what matters. Responsibilities Partnering with industrial designers and mechanical engineers to translate design concepts into manufacturable products Owning design for manufacturability (DFM) across materials, finishes, tolerances and assembly processes Working directly with contract manufacturers, tooling vendors and supply chain partners to drive quality and consistency Identifying and resolving manufacturing risks early in the development cycle Maintaining design intent through mass production, managing deviations and approving samples Contributing to process improvements that raise the quality bar across Hark's hardware line Requirem
Get new speech and language therapist jobs by email
Daily job updates · Unsubscribe anytime