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Speech Language Pathologist Jobs

816 active opportunities · Updated for October 2026

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H
Hark
📍 San Jose• $120K – $300K/yr
3mo ago

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

artificial intelligenceaifinance
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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

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H
5mo ago

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 extraordinarily talented Interface Designer to help shape the software experiences at Hark. Working within our multi-disciplinary design team, you will help craft the interfaces people use every day to interact with our intelligence. Across a variety of platforms, and form factors. You care deeply about the details of interaction: how something feels to use, as much as how it works. You're as comfortable defining interaction patterns as you are pushing visual quality. You will help define what it means to interact with personal AI, bringing clarity, craft and intention to every screen, state and moment in the product. Responsibilities Designing interfaces across Hark's software platforms, from early concept through to shipped product Collaborating closely with product, engineering and brand to ensure a cohesive, high-quality experience Building and maintaining design systems that scale across surfaces Exploring new interaction paradigms suited to agentic, voice-first and multimodal AI Contributing to the overall design culture and raising the bar for craft across the team Requirements 5+ years of experience designing interfaces for software products A portfolio demonstrating exceptional craft across visual desi

artificial intelligenceai
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TA
Together AI
📍 San Francisco• $220K – $280K/yr
5mo ago

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Own the voice inference roadmap end-to-end — define and execute the technical strategy for optimizing STT, TTS, and speech-to-speech models across Together's infrastructure, with a clear-eyed view of where the field is heading and how to position the platform ahead of it. Drive best-in-class inference performance — architect and implement systems targeting leading

pythonaisalesforce
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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 world-class Engineering Program Manager to lead system builds for our AI consumer products, from early local prototypes through Proto, xVT, ramp, and launch. You'll partner closely with every engineering discipline to architect and execute builds that cover all validation needs and run efficiently on the floor. Location is flexible, with up to 30% in-region travel to ensure every build runs as planned. Requirements 6+ years executing and shipping high technology consumer electronics systems at large OEMs BS in Electrical, Mechanical, or related engineering discipline Proven track record leading hardware builds end-to-end with contract manufacturers, and driving critical supply chain components Experience with high technology manufacturing processes, component lead times, PCB technologies Experience driving programs through prototype, xVT, ramp, and mass production Excellent interpersonal communication and information visualization skills Ability to travel in-region including extended stays during critical builds Responsibilities Lead build planning and execution from early local prototypes through Proto, xVT, ramp, and launch Collaborate closely with EE, ME, SI, RF, thermal, and reliability teams to strateg

artificial intelligenceaisupply chain
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H
Hark
📍 San Jose• $150K – $300K/yr
5mo ago

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 Performance Marketing Lead to architect and execute our brand marketing and paid acquisition engine from its inception. You will be responsible for defining the overarching strategy, managing social and complex campaigns, and leveraging data-driven insights to accelerate growth—collaborating closely with leadership and cross-functional teams to introduce a truly transformative product to the market. This is a high-impact, hands-on opportunity for an individual who excels at scaling systems efficiently and thrives in an environment where they are the one authoring the playbook rather than following one. Responsibilities Direct and manage comprehensive social channels and paid acquisition initiatives across search, social, display, and various emerging digital platforms. Architect the foundation of our performance marketing infrastructure, establishing robust systems for attribution, tracking, and reporting from the ground up. Collaborate with design and brand teams to pioneer and validate creative strategies designed to maximize conversion and engagement. Synthesize complex product and organizational milestones into high-impact campaigns that resonate deeply with our target audience. Iteratively optimize capital allocatio

artificial intelligenceaiSEM
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H
Hark
📍 San Jose• $120K – $300K/yr
5mo ago

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 Firmware Engineer to develop and optimize embedded audio solutions on Hark’s next-gen AI device. This role spans audio system bring-up, DSP algorithms development, integration and optimization, and deployment of advanced audio/AI features for consumer devices. The ideal candidate should be comfortable developing, integrating, debugging, tuning, and validating audio algorithms on an embedded production platform. Responsibilities Bring up audio processing stack on new hardware, drive implementation and integrations of audio processing pipeline Debug complex audio issues end-to-end using platform logs, working from kernel and DSP traces up through application-level symptoms Partner with the AI team to support audio-driven inference workloads (wake word, ASR, speech enhancement) within latency, power, and memory budgets Collaborate with hardware, acoustics, and product teams from prototype through production to ship audio that feels effortless to users Requirements 5+ years of professional firmware or embedded audio development, ideally on consumer products that have shipped at scale Experience with core Audio DSP algorithms and their implementations, including AEC, Beamforming, NR, AGC, VAD, DoA e

machine learningartificial intelligenceai
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H
Hark
📍 San Jose• $200K – $300K/yr
5mo ago

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 Finance Generalist to join our Finance team. This role spans both FP&A and Strategic Finance, combining ownership of the company's planning processes with the opportunity to influence high-impact strategic decisions across the business. You'll be responsible for everything from building annual operating plans and monthly forecasts to evaluating strategic investments, developing financial models from scratch, partnering with functional leaders, and solving complex analytical problems. This role requires someone who is equally comfortable thinking strategically, building scalable financial infrastructure, and rolling up their sleeves to work through the details. If you enjoy building, solving ambiguous problems, and using finance to drive business decisions, we'd love to hear from you. Responsibilities Financial Planning & Performance Management Lead business units’ annual operating plan, budgeting, forecasting, and long-term financial planning processes. Own monthly financial reporting, variance analysis, and performance reviews. Analyze business performance, identify key drivers of results, and clearly communicate insights and recommendations to leadership. Manage budget tracking, approvals, and spending

sqlartificial intelligenceai
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H
Hark
📍 San Jose• $120K – $300K/yr
6mo ago

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 Software Engineer, Platform to own the OS platform layer of it. You will design, configure, maintain, and optimize the OS platform services, the user space services and daemons above them, and the protocols that connect the device to our backend. This is the platform end of the embedded spectrum: services, frameworks, virtualization, and protocol work on top of a complex multi-core SoC, in addition to driver and MCU work. You will partner closely with the BSP, embedded software, UX, and backend teams, and with the AI teams whose models run on the platform you build. Responsibilities Design, configure, maintain, and optimize the OS platform services on Hark devices Build system services and daemons, frameworks, and networking primitives and protocols Own backend integrations, including protocol design and the performance analysis behind it Build and maintain virtualization frameworks and multi-OS system design, with the performance analysis to back it Profile and tune the platform for performance and power across the full multi-core system Partner with BSP, embedded software, UX, and backend teams so platform se

linuxartificial intelligenceai
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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 drive the system-wide thermal architecture for our AI-centric consumer devices, from early concepts through detailed architecture and production validation. Balance performance, battery life, cost, and user comfort. Work hands-on across simulation, prototyping, and test to enable informed architecture analysis, proactively highlighting tradeoffs and opportunities. Collaborate closely with industrial design, mechanical, electrical, and software teams to converge holistic thermal solutions. Responsibilities Define and own the thermal architecture from early architecture & NPI through production, including foundational system architecture simulation & analysis, material selection, thermal solution design, and cost optimization. Translate product use cases and real-world usage profiles into thermal loading scenarios that drive early design iteration Conduct detailed thermal analysis at variable fidelity levels as needed - analytic analysis for team directional analysis, coarse analysis for quick iteration of parallel ideas, and detailed analysis for high fidelity studies. Design and build custom thermal test infrastructure and measurement methodologies tailored to each product program Partner cross-funct

artificial intelligenceai
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TA
Together AI
📍 San Francisco• $200K – $260K/yr
6mo ago

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Optimize inference performance for voice models (STT, TTS, speech-to-speech) — targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set. Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads. Build and maintain a voice model

pythonaisalesforce
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H
Hark
📍 San Jose• $180K – $450K/yr
6mo ago

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 Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will focus on developing large-scale pretraining systems and foundation models. This includes working across the full stack—from data curation and large-scale training infrastructure to model architecture and optimization. You will play a key role in advancing the core capabilities of our models through pretraining at scale. Responsibilities Drive research and development in large-scale LLM and multimodal pretraining, focusing on improving model capability through better data, scaling, and architecture. Develop and optimize data pipelines for pretraining, including large-scale data curation, filtering, deduplication, and synthetic data generation. Design and implement efficient training strategies for foundation models, including distributed training, scaling laws, and optimization techniques. Build and improve pretraining infrastructure, including training systems, data pipelines, and comp

artificial intelligenceai
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H
6mo ago

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 Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of real-time audio, video, and multimodal models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Design and implement efficient RL algorithms and training strategies to achieve state-of-the-art performance in multimodal foundation models, PPO/GRPO/RLHF Drive research and development agendas to advance real-time multimodal intelligence, including audio, video modeling capabilities. Improve data quality for large-scale post training by developing data filtering, curation, and synthetic data generation techniques. Build evaluation frameworks and internal benchmarks to m

machine learningartificial intelligenceai
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H
Hark
📍 San Jose• $180K – $450K/yr
6mo ago

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 Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of real-time audio, video, and multimodal world models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Drive research and development agendas to advance real-time multimodal intelligence, including audio, video, and world modeling capabilities. Improve data quality for large-scale multimodal training by developing data filtering, curation, and synthetic data generation techniques. Build evaluation frameworks and internal benchmarks to measure model capability, reliability, and user experience across modalities. Design and implement efficient algorithms and training strategi

machine learningartificial intelligenceai
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H
Hark
📍 San Jose• $180K – $450K/yr
6mo ago

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 Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of text, video, and multimodal models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Drive mid-training and post-training research for multimodal foundation models — continued/mid-training on large-scale interleaved vision-text and video-audio corpora, supervised fine-tuning, and reinforcement learning to advance image, video, and video-audio understanding. Own the RL stack for multimodal post-training: reward modeling, preference optimization and RLVR-style verifiable rewards, policy optimization (PPO / GRPO / DPO and variants), rollout and sampling strategies, and mitigation o

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