Speech Language Pathologist Jobs

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

Opportunity Overview: Cohere Health is seeking a detail-oriented and outcomes-driven Senior Clinical Portfolio Manager to oversee the day-to-day execution of one of our new Speech Therapy Program. Reporting to VP, Clinical Programs, each Senior Clinical Portfolio Manager will be responsible for managing a specific program’s operations and outcomes, ensuring delivery aligns with Cohere’s strategic objectives, client commitments, and member impact. Working closely with a Business Analyst for data support and reporting, the Senior Clinical Portfolio Manager will serve as the central coordinator across Clinical Strategy, Clinical Operations, Analytics, and Client Success. This role is ideal for an innovative leader who can manage the details of program execution while keeping sight of long-term outcomes — ensuring that program delivery is consistent, measurable, and continuously improving. What you’ll do: Program Development, Execution & Coordination: Own the day-to-day management of the speech therapy program, ensuring deliverables, timelines, and milestones are achieved Translate program-level strategy and roadmap (set by VP of Clinical Programs and Clinical Strategy Physician) into tactical plans, initiatives, and workstreams to continue to drive program innovation Own and maintain the program’s rolling 18-month roadmap Drive cross-functional alignment with enabling teams (Strategy Physicians, Operations, Analytics, Client Success, Finance) Ensure consistency of program management practices and adherence to internal SLAs Performance Tracking & Reporting: Track key performance metrics (e.g., clinical accuracy, denial/approval trends, turnaround time, MedEx savings, quality measures) Partner with Business Analyst to gather, interpret, and present data-driven insights Monitor program dashboards and ensure data integrity in performance reporting Proactively monitor performance and provide guidance / context to the Business Analyst in terms of root cause ana

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the Speech Research Team's work: https://decagon.ai/blog/audio-native-semantic-speaker-change-detection https://decagon.ai/blog/scaling-real-time-tts-inference https://decagon.ai/blog/teaching-flow-matching-tts-with-rl The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Audio and Speech, you’ll be responsible for building the mode

Solutions Architect, Speech AI — Singapore, Singapore-Suntec Tower. Apply via Workday.

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the Speech Research Team's work: https://decagon.ai/blog/audio-native-semantic-speaker-change-detection https://decagon.ai/blog/scaling-real-time-tts-inference https://decagon.ai/blog/teaching-flow-matching-tts-with-rl The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Research Engineer focused on Audio and Speech, you’ll be responsible for building the mode

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. 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 drive the development of advanced speech and audio capabilities within multimodal foundation models. You will work across the full stack—from data and modeling to training, evaluation, and real-time serving—pushing the boundaries of speech intelligence and human-computer interaction. Responsibilities Drive research and development to advance speech and audio capabilities in multimodal models, including speech recognition, synthesis, and understanding. Develop and improve large-scale speech and audio data pipelines, including data collection, filtering, alignment, and synthetic data generation. Design and implement state-of-the-art models for speech and audio, including end-to-end multimodal architectures and real-time systems. Build evaluation frameworks and internal benchmarks to measure speech quality, latency, robustness, and overall user experience. Optimize models and systems for real-time pe

We're building the future of Speech Intelligence at Speechmatics, and we need someone who can own the technical engine behind how customers discover, adopt, and grow with our platform. This is a hands-on backend engineering role, where your work directly shapes the journey from a customer's first interaction with our website to their first meaningful moment of value. If you thrive shipping, iterating, and making a measurable commercial difference, then we’d love to hear from you. What you'll do Own the backend development and ongoing health of the Speechmatics website and self-serve portal Build and maintain new custom components from scratch, turning design specifications into reliable, performant, production-ready code Manage Vercel deployments and backend infrastructure, keeping the live site fast, stable, and technically sound Implement UI design changes end-to-end, bridging the gap between what's designed and what goes live Write Python-based queries to surface insights across the self-serve portal and support data-driven decisions across the team Identify and act on opportunities to improve conversion across the self-serve funnel through well-timed, well-designed product experiences Collaborate closely with product, design, and data teams in a cross-functional, async-friendly way, working closely together to remove blockers and unlock opportunities Own the ongoing improvement of site performance, loading speed, and technical reliability What you'll need Proficiency in JavaScript and TypeScript for website backend development, with a track record of shipping and maintaining production code Hands-on Python experience, particularly for data queries Demonstrable experience with LLM and AI-first development workflows, tools like Claude, Cursor, or similar Experience in a product-led growth or self-serve SaaS environment, with a clear understanding of conversion funnels and how engineering choices affect them The ability to operate

We're building the future of Speech Intelligence at Speechmatics, and we need someone who can own the technical engine behind how customers discover, adopt, and grow with our platform. This is a hands-on backend engineering role, where your work directly shapes the journey from a customer's first interaction with our website to their first meaningful moment of value. If you thrive shipping, iterating, and making a measurable commercial difference, then we’d love to hear from you. What you'll do Own the backend development and ongoing health of the Speechmatics website and self-serve portal Build and maintain new custom components from scratch, turning design specifications into reliable, performant, production-ready code Manage Vercel deployments and backend infrastructure, keeping the live site fast, stable, and technically sound Implement UI design changes end-to-end, bridging the gap between what's designed and what goes live Write Python-based queries to surface insights across the self-serve portal and support data-driven decisions across the growth team Identify and act on opportunities to improve conversion across the self-serve funnel through well-timed, well-designed product experiences Collaborate closely with product, design, and data teams in a cross-functional, async-friendly way, working closely together to remove blockers and unlock opportunities Own the ongoing improvement of site performance, loading speed, and technical reliability What you'll need Proficiency in JavaScript and TypeScript for website backend development, with a track record of shipping and maintaining production code Hands-on Python experience, particularly for data queries Demonstrable experience with LLM and AI-first development workflows, tools like Claude, Cursor, or similar Experience in a product-led growth or self-serve SaaS environment, with a clear understanding of conversion funnels and how engineering choices affect them The ability to o

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 Warehouse Associate to manage daily inbound and outbound small parcel shipments and warehouse operation with accuracy and efficiency. The ideal candidate will be responsible for ensuring all goods are properly received, stored, and shipped according to customer orders. This role requires strong attention to detail, organizational skills, and the ability to work in a fast-changing environment. Responsibilities Shipping Responsibilities Prepare and process outgoing shipments, including packaging, labeling, and documentation. Verify and label shipments, ensuring accuracy in documentation and carrier requirements. Schedule pickups and coordinate with shipping carriers (FedEx, UPS, DHL, LTL/FTL) Monitor outgoing shipments and resolve any delivery issues or delays Maintain accurate shipping records and update tracking information Receiving Responsibilities Accept and inspect incoming shipments for accuracy and condition Generate shipping labels, bills of lading, and tracking information Unload and properly store received materials in designated warehouse locations Communicate with relevant departments on received goods Warehouse Operations Management Own day-to-day warehouse operations, maintain an o

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 hiring an Industrial Designer to join Hark's design team, reporting to our Head of Design. You'll help bring the look, feel, and physical experience of our devices to life, taking concepts from sketch to production within the design direction set by the team. You'll work hands-on every day, sketching, modeling, prototyping, and partnering closely with product design, electrical, and acoustic engineers to make sure what ships matches the design intent. This role sits where design meets engineering: you'll spend as much time with engineers at the bench and at builds as you do at your desk, turning concepts into products that can actually be made. Responsibilities Develop industrial design concepts for Hark hardware and accessories through sketches, renderings, 3D surface models, and physical mockups Carry design direction from the Head of Design into detailed, production-ready surfaces and design specifications Build rapid prototypes in-house (foam, 3D print, CNC) to test scale, ergonomics, feel, and proportion Support color, material, and finish (CMF) development, including researching materials and reviewing supplier samples Design physical interaction details: buttons, haptics, light, charging, and how devices are held, worn,

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. We're looking for an engineer who sits at the intersection of model research and production systems. Together with our researchers, you'll decide what "better" means for a model and how to prove it — then build the infrastructure that makes those proofs reliable and repeatable: evaluation harnesses, data pipelines, and model training that hold up at scale and that the whole team can build on. This is a hands-on, individual-contributor position. The systems that judge whether a model improved, and the environments that drive that improvement, will be yours. Responsibilities Build and own end-to-end evaluation suites for LLM capabilities: task specs, grading logic, and the dashboards researchers check every day. Run the eval harness as a production service — sandboxed execution, tool calling, multi-turn and agentic tasks, deterministic replay, and caching — so a full evaluation pass is cheap and gives the same answer twic

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 hiring a Manager, Enterprise Sales to build Hark's commercial partner network. Responsibilities Source, pitch, and close enterprise partnerships with major brands, retailers, and platforms. Own every contract negotiation end to end, from first terms to signature. Build and manage a pipeline from first outreach through close, with clear forecasting. Work with Legal, Product, and Engineering to structure deals Hark can launch and scale fast. Turn what you learn in the market into feedback that shapes Hark's product and commercial strategy. Requirements 5+ years closing deals with large companies, in partnerships, business development, or sales. A track record of sourcing and closing net-new deals yourself, not just managing existing accounts. Strong negotiator who is comfortable owning commercial terms and redlines. Experience selling into retail, e-commerce, travel, or consumer brands. Comfortable working with ambiguity and moving at startup speed. Bonus Qualifications Experience with performance-based or revenue-share partner models. Partnerships experience at a consumer tech, marketplace, or payments company. An existing network across major brands and retailers. Compensation The US base salary range for this full-time

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 hiring a Member of Technical Staff (Application Security Engineer) to own the security of the software Hark ships. You'll review design and code, find and fix vulnerabilities in our backend services, mobile apps, and third-party integrations, and build the guardrails that let engineers move fast without shipping bugs. Our agents act on behalf of users across their apps and data, so you'll also be defining how to secure LLM and agent systems, a space with very few established playbooks. This role is hands-on; you'll be reading code, writing fixes, and building tooling, not managing or auditing. Responsibilities Threat-model new features and services, with a focus on agent/LLM attack surfaces (prompt injection, tool misuse, data exfiltration, cross-tenant access). Review code and designs for Hark's backend services (primarily Go), APIs, and mobile apps; fix vulnerabilities directly when it's faster than filing a ticket. Secure authentication, authorization, and session handling across our consumer product, including OAuth integrations with third-party platforms. Build and tune SAST, dependency, and secrets scanning in CI so findings are high-signal and developers actually act on them. Triage and remediate findings from pentests and our

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 hiring a Member of Technical Staff (Information Security Engineer) to secure the infrastructure and systems Hark runs on. You'll harden our AWS environments, own identity and access across the company, build detection and response, and lead incident response when things go wrong. We run model training, agent sandboxes, and hardware manufacturing pipelines, so the environment is broader and more interesting than a typical SaaS stack. This role is hands-on; you'll be building and operating, not managing or auditing. Responsibilities Harden cloud infrastructure across multiple AWS accounts (IAM, EKS, VPC and network access paths, KMS) and review IaC for misconfigurations. Own identity and access: SSO, least-privilege IAM, just-in-time access, secrets management, and access reviews. Build and maintain detection and alerting pipelines; lead triage, containment, and post-incident review. Secure the corporate environment: endpoint management, SaaS security posture, and zero-trust network access. Evaluate third-party vendors and integrations for security and privacy risk. Build the technical controls and evidence behind our compliance programs (SOC 2, GDPR) as automation, not spreadsheets. Requirements 4–8 years of hands-on security engineer

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