Job Title: Senior Speech & Audio ML Engineer Location: Remote Type: Full-time Salary Range: $2,500–5,500 USD / month Role Purpose We are looking for a Senior ML Engineer to build and ship core models for a speech-driven behavioral engine. You will own end-to-end modeling from raw, long-form audio and layered annotations to production inference. Responsibilities include: Designing audio features and embeddings. Training and evaluating a suite of models. Delivering reproducible pipelines that meet targets for accuracy, robustness, latency, and cost. Non-Negotiables Experience: 5+ years building production ML systems, including 2+ years in speech/audio. Speech & Signal Processing: VAD, diarization, segmentation, denoising, spectral features (log-mel/MFCC), prosody (pitch/energy), long-form audio handling. SOTA Audio Models & Embeddings: Wav2Vec2, HuBERT, wavLM (or similar); fine-tuning/self-supervised learning; contrastive/metric learning for downstream tasks. Data Engineering & Quality: SQL, Python data stack (Pandas/Polars), ETL for audio + metadata, stratified sampling, leakage prevention, feature stores. Evaluation Discipline: Golden sets, robust speaker/content splits, ROC/PR/calibration, fairness/bias checks, ablations, drift/shift detection on embeddings and audio quality. MLOps, Serving & Reproducibility: FastAPI/gRPC around HF/torchaudio models, experiment tracking (W&B/MLflow), artifact/model versioning, CI/CD, observability, scalable batch/streaming inference. Proven ability to create and document novel IP (methods, architectures, or training/eval techniques) with clear prior-art awareness. Nice to Have Tooling: SpeechBrain, Lightning, OpenSMILE/Praat, Kaldi/Conformer/Emformer, Label Studio. Multimodal Skills: ASR (e.g., Whisper) + paralinguistic features; emotion/prosody modeling; speaker embeddings (x-vectors, ECAPA-TDNN). Performance & Deployment: Quantization/distillation, Triton/CUDA basics, distributed training, real-time/streaming inference, on-device DSP (Rust/C++). Publications/Patents/Competitions: Demonstrating novel audio modeling work.
Job Title: LLM Engineer / Prompt & Agent Specialist Location: Remote Type: Full-time Role Purpose We are looking for a hands-on LLM Engineer to design, iterate, and evaluate prompts and agent behaviors. You will own system prompts, tool/function-call specs, schemas, guardrails, and evaluation processes to optimize accuracy, safety, latency, and cost for production LLM workflows. Key Responsibilities Build and optimize prompts for structured outputs and tool/function calling. Design and implement evaluation frameworks to measure performance, errors, hallucinations, latency, and cost. Develop safety mechanisms, guardrails, and adversarial/red-team testing for LLM workflows. Define clear human/machine handoffs with deterministic flows. Collaborate with engineering and product teams to improve LLM-based systems in production. Requirements 2+ years building with LLMs in production (or 4–6+ years engineering with LLM ownership). Expert in prompt engineering for structured outputs and tool/function calling. Fluency with LLM APIs (OpenAI, Anthropic, etc.). Strong evaluation skills: golden sets, rubric/auto-judge scoring, error taxonomies. Experience with safety, moderation, and rule-based constraints in LLMs. Nice to Have Experience with RAG, embeddings, and vector stores (Upstash, Pinecone). Fluency in Typescript. Familiarity with agent frameworks (Mastra, Langgraph, etc.). Experience with eval/prompt tooling and version management (OpenAI Evals, DeepEval). Knowledge of A/B testing, fine-tuning, and human-in-the-loop feedback loops. Observability and monitoring experience for LLM systems.
QA / Test Automation Engineer Location: Remote (LatAm time zones preferred) Type: Full-time Reports to: CTO About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—based on prosodic and linguistic signals—and turns them into actionable insights for hiring and beyond. Quality and reliability are core to our product—and we’re looking for someone who ensures both scale with us. Role Purpose Design and maintain test automation systems that guarantee the stability, performance, and trustworthiness of Mappa’s voice-AI platform. You'll lead the creation of robust test cases, frameworks, and regression suites integrated with our CI/CD pipelines. Key Outcomes (First 6 Months) Implement automated test coverage for all core application components (frontend and backend). Reduce manual regression testing time by ≥ 60% via automation. Detect and prevent critical bugs pre-deployment in at least 90% of release cycles. Integrate testing into our CI/CD workflows and ship reliable builds multiple times per week. Core Responsibilities Design and implement end-to-end, integration, and regression test cases for web and backend components. Build and maintain test automation frameworks using Python, TypeScript, Selenium, Puppeteer, and PyTest/Bun. Integrate testing pipelines with CI/CD tools (Jenkins, GitHub Actions) for automated validation. Collaborate with Engineering and Product to define test plans and acceptance criteria. Monitor test coverage, identify gaps, and proactively improve testing strategies. Triage bugs, write detailed bug reports, and contribute to root cause analysis post-deployment. Maintain test documentation and ensure testing processes are well-documented and repeatable. Must-Have Skills 3+ years of experience in QA engineering or test automation. Strong proficiency in Python and/or TypeScript for scripting and test development. Experience with test automation tools (e.g., Selenium, Puppeteer) and test frameworks (PyTest, Bun or similar). Solid understanding of CI/CD pipelines and automated testing in release workflows. Familiarity with test case management, regression testing, and performance validation. Excellent attention to detail and process ownership. Fluent in English. Nice-to-Have Experience in testing AI or voice-based applications. Familiarity with monitoring tools or observability stacks (e.g., Sentry, Datadog). Exposure to performance and load testing frameworks. Who You Are A quality guardian who builds systems to break things—before users ever see a bug. You bring structure to chaos, automate relentlessly, and think like both an engineer and a user. You’re the last line of defense and proud of it. Why Join Mappa Product-critical role: Your tests keep our behavioral AI system stable and trustworthy. Modern stack: Work with engineers shipping Python, TypeScript, CI/CD, and agents at scale. Remote-first: Join a distributed team across LatAm and the U.S.
About Mappa Mappa builds real-time voice-AI infrastructure that decodes over 100,000 behavior patterns per person—turning prosodic and linguistic signals into actionable insights for hiring and beyond. Our mission is to provide enterprise-grade AI tools while maintaining reliability, scalability, and measurable impact. As a Senior Full-Stack Engineer at Mappa, you’ll own end-to-end features from frontend to AI workflow integration, driving the evolution of our stack and shaping our AI capabilities. What You’ll Do Ship robust, high-quality features across Next.js UI, tRPC APIs, and Prisma-powered data layers. Design, evolve, and optimize MySQL schemas on PlanetScale and Turso, including migrations, query tuning, and cost/performance improvements. Develop, iterate, and harden prompt engineering workflows: system prompts, structured JSON outputs, eval harnesses, and guardrails. Integrate LLMs and AI tools: function calling, retrieval-augmented generation (RAG) basics, observability, and failure mode mitigation. Implement and maintain end-to-end type safety from UI → API → DB. Improve developer experience, performance, and reliability: alerts, tracing, monitoring, latency metrics. Collaborate cross-functionally to own features from specification → production → metrics, ensuring measurable impact. Non-Negotiables TypeScript expert: types-first design, generics, Zod. T3 in production: Next.js (App Router / RSC), tRPC, Prisma. MySQL mastery: schema design, migrations, query tuning on PlanetScale and Turso. End-to-end type safety across UI, API, and DB layers. Prompt engineering expertise: robust system prompts, structured outputs, eval harnesses, and safety guardrails. LLM integration experience: function calling/tools, RAG basics, observability, failure mode handling. Shipping discipline: unit/e2e testing (Vitest/Playwright), CI/CD, tracing/monitoring, measurable latency and reliability improvements. Strong ownership and communication: drive features independently from concept to metrics. Nice-to-Have Experience with Qstash / Upstash. Edge deployments (Vercel / Edge functions). Integrations with WhatsApp / Meta APIs. Reranking, evaluation metrics, and model tuning. Observability frameworks like OpenTelemetry / Sentry. Exposure to Rust for system-level enhancements. Why Join Mappa Work with cutting-edge AI + voice analytics at scale. 100% remote, flexible schedule, international team. High ownership: your features impact product, AI, and business outcomes. Learning-first culture: grow in TypeScript, AI workflows, and distributed systems.
About Us: We are looking for a highly skilled Senior Mobile App Developer who can independently develop custom mobile applications using React Native, based on provided Figma designs. You will be working on a full-stack mobile app, where data is imported from an ASP.Net desktop application using Microsoft Azure and MongoDB. Role Overview: As a Senior Mobile App Developer, you will be responsible for building high-quality, custom mobile applications from the ground up using React Native. You’ll collaborate closely with our design and backend teams, bringing UI/UX to life with precision. This role requires a self-driven developer with strong attention to detail, 8+ years of experience, and a proven track record of delivering pixel-perfect, functional mobile apps independently. Key Responsibilities: Develop fully functional and high-performance React Native mobile applications based on Figma designs. Build custom features and functionalities that enhance the user experience and meet complex business needs. Integrate data from an ASP.Net backend system using Azure and MongoDB. Ensure pixel-perfect implementation, responsiveness, and performance across different devices. Independently manage the entire development lifecycle, including coding, testing, and deployment. Collaborate with the design team and backend developers to ensure seamless integration of front-end and back-end functionalities. Troubleshoot, debug, and optimize mobile applications to improve performance and reliability. Follow best practices in mobile development, code quality, and version control using Git. Stay current with the latest trends, libraries, and best practices in mobile app development. Required Qualifications: 8+ years of experience in software development, with a strong focus on React Native mobile applications. Proven ability to build and launch apps independently, with a portfolio showcasing solo projects. Proficiency in JavaScript/TypeScript and modern mobile development tools. Experience integrating APIs and working with ASP.Net, Azure, and MongoDB. Deep understanding of mobile app architecture, design patterns, and performance optimization. Strong ability to translate Figma designs into responsive and accurate UI components. Experience working in agile environments and using tools like Git and CI/CD pipelines. Excellent problem-solving, time management, and communication skills. Highly self-motivated, detail-oriented, and efficient under tight deadlines. Preferred Skills: Experience with native mobile development (iOS/Android) is a plus. Familiarity with the App Store and Google Play deployment processes. Exposure to automated testing and CI/CD for mobile apps. Previous experience working with cross-functional remote teams. Knowledge in consumer products, healthcare, or health & wellness would be a bonus
Full-time (40h/week), Remote About Us We are a technology company on a mission to transform how organizations use data. We believe that for businesses to lead their industries, they must effectively harness their data. Our innovative, AI-powered analytics platform was built to make data-driven insights universally accessible, eliminating the need for complex infrastructure or large specialist teams. We empower non-technical users to connect to hundreds of data sources, ask questions in plain English, and get immediate, actionable insights. By unifying disparate data and enabling easy collaboration, we help businesses make faster, smarter decisions and turn their data into a pivotal competitive advantage. About the role We are seeking a Customer Success Engineer to handle customer-specific technical implementations and platform work. This is a crucial, forward-facing technical role designed to support our customers by addressing their unique account issues and technical needs, complementing our existing data team. This position will report directly to the CTO and work closely with internal stakeholders like the Product Manager and the Customer Success team. The primary focus will be on technical execution, with the potential for limited direct client communication via email or tickets. You will be instrumental in ensuring our customers are successfully onboarded and supported, directly impacting their success and our company's growth. Key responsibilities: Configure, debug, and manage ETL pipelines for new customer implementations. Build and maintain custom Airbyte connectors (Python or low-code/no-code) to meet specific customer data integration needs. Troubleshoot and resolve issues with Fivetran connectors. Provide AWS infrastructure support for customer environments, particularly managing S3 and IAM roles for secure data transfer Handle API integration work for customer accounts. Collaborate with and support our existing data team contractors. Utilize AI tools to debug SQL queries and troubleshoot various technical issues. Perform data quality assurance and validation to ensure data integrity. Set up customized BI dashboards for customer accounts within our platform. Review user LLM session logs to diagnose issues with our RAG pipeline and create detailed tickets for the engineering team. Requirements: Mid-level or higher engineering experience with a strong background in data engineering and ETL processes. Proficiency with Fivetran, Airbyte or equivalent ETL tools. Proficiency with AWS, specifically S3 and IAM roles. Solid experience with API integration, and debugging. Basic to advanced SQL proficiency for debugging and data validation. Proven ability to work independently and take ownership of customer-facing technical issues. Comfortable debugging issues throughout a data platform stack (from front-end to database and infrastructure) and writing clear, actionable bug tickets for the development team. Tools: Cloud: AWS (S3, IAM) Data Tools: Fivetran, Redshift, pgVector/Postgres, Metabase Languages: Ruby, Python Frontend: React (experience is helpful) Authentication: Keycloak AI: OpenAI, Anthropic Project Management: Trello Nice to have: Familiarity with AI/LLM tools and debugging (or enthusiasm to learn) Existing Airbyte/Fivetran/general ETL connector development experience Familiarity with data transformation tools and data modeling (eg. dbt) More advanced SQL and data analysis skills We would want at least 4 hours of overlap in the morning (9AM-1PM) as we have people in other timezones where the morning makes sense. Ideally would be US hours overlap (9AM-6PM or thereabouts) as reactive issues can come in from clients throughout the day.
About Us Is first AI-powered assistant for sustainability teams at consumer brands. We helps brands with tracing their supply chains, communicate their efforts to consumers, stay compliant with regulations like the EU Digital Product Passport, and stop wasting time on manual work. We’re pre-seed and working with early pilot brands. This is a ground-floor opportunity to join a fast-moving, mission-driven startup and help build a product with real-world impact. If you’re excited to co-build a mission-driven product from the ground up, shape real decisions, and earn meaningful ownership, this is the kind of experience that defines careers. About the Role You’ll work directly with the CEO to design and ship the first version of the product, integrate LLMs for automated workflows, and co-create a platform that helps sustainability teams actually move the needle. This role is ideal for someone who wants to have a positive impact in the world, work directly with really cool customers, build a product from scratch, and take full ownership over the technology and its direction. What You’ll Do Build and iterate on core platform and AI agent Own development across the stack: Lead architecture and backend decisions (Node, Postgres, Supabase) Supercharge our users’ interactions with the web (React) Unleash the power of AI for our customers (OpenAI, MCP, RAG) Evangelize agents coding tools like Cursor or Claude Code to multiply engineering impact Talk to users, gather feedback, and prototype quickly Lay the foundation for a high performing engineering organization ready to scale with the business, including culture, CI/CD, version control, and SDLC process Help shape product strategy and grow the engineering team What We’re Looking For 3+ years of full-stack development experience Strong background in modern full stack development. Our stack is DynamoDB, AWS, React, Redux, OpenAI, and Python (but this can be changed) Demonstrable experience with LLMs, agent frameworks, or workflow automation Excited about building something that drives impact in sustainability Comfortable working in ambiguity and iterating quickly, in a startup environment Clear communicator who’s proactive and self-directed Hungry to grow and ready to own a big piece of something early What You’ll Get A say in product, strategy, and company direction Experience building a real AI product in a high-impact industry A chance to work closely with brands that are shaping the future of sustainable fashion Room to lead, experiment, and make things happen
As a senior member of the marketing team, you will translate Mappa’s product vision into compelling go‑to‑market programs that drive adoption, activation, retention and expansion. You’ll own the end‑to‑end product marketing function—partnering closely with the Head of Marketing, Product, Growth and Sales—to build and scale our Product‑Led Growth motion across a rapidly growing B2B SaaS platform. Key Responsibilities PLG Strategy Execution: Turn high‑level PLG roadmaps into concrete programs (in‑app onboarding flows, self‑serve funnels, in‑product nudges). Lead A/B tests, cohort analyses and funnel optimizations to boost activation and expansion metrics. Go‑To‑Market Leadership: Plan and execute every product launch: define target segments, messaging, beta cohorts, enablement materials and launch communications. Align launch cadence with Head of Marketing’s global calendar and prioritize based on impact vs. effort. Positioning & Messaging: Own product value propositions, buyer personas and competitive differentiation. Craft crisp, user‑centric positioning that resonates across marketing, sales decks, website copy and enablement content. Cross‑Functional Enablement: Develop sales tools, battle cards and objection‑handling guides for Revenue teams. Train Customer Success on new features and gather customer feedback to inform prioritization. Market & User Insights: Lead market research, customer interviews and Jobs‑to‑Be‑Done workshops. Surface whitespace opportunities and recommend product enhancements to Product leadership. Mentorship & Process: Mentor more junior PMMs or product marketers as we build out the function. Define and document repeatable frameworks for launches, PLG experiments and post‑mortems. KPI Tracking & Reporting: Monitor cohort, funnel and revenue metrics; prepare dashboards and executive summaries for quarterly reviews. Translate data into clear, actionable insights and recommend course‑corrective actions. Required Skills & Experience PLG Expertise: 4–6 years in Product Marketing or Growth roles at B2B SaaS/high‑growth startups, with hands‑on PLG execution. Launch Track Record: Proven success driving adoption of technical products—especially self‑serve and freemium models. Data Fluency: Comfortable with BI tools (Looker, Metabase, Tableau) and SQL for cohort analysis, funnel metrics, A/B test design. Storytelling & Communication: Ability to distill complex ML/API capabilities into simple, persuasive messages for diverse audiences. Cross‑Functional Leadership: Strong project management skills; experience coordinating Design, Engineering, Sales and CS under tight deadlines. Languages: Native‑level English and Spanish fluency for global collaboration. Mindset & Culture Fit: High ownership, bias for action, comfort in ambiguity and a passion for scaling startups.
About the Company We are a digital health startup developing non-invasive, real-time hemodynamic monitoring technology for cardiovascular care. Our platform combines wearable biosensors with advanced machine learning to deliver clinically actionable insights for heart failure and vascular risk management. We're now preparing to scale our algorithms from validated prototypes to production-grade, regulatory-compliant systems. About the Role We’re hiring a Senior Machine Learning Engineer to lead the transition of our cardiovascular signal analysis models from research to real-world deployment. You’ll work closely with our CTO and clinical team to optimize model accuracy, enhance data pipelines, expand validation datasets, and prepare for regulatory submissions. You’ll also play a key role in building our MLOps infrastructure. Key Responsibilities Build and deploy ML models (classification/regression) using classical methods (DT, RF, SVMs) and deep learning (CNNs, RNNs, LSTM) Develop preprocessing pipelines for ECG, PPG, BP, and imaging data Implement signal quality metrics, ensemble optimization, and multi-site model validation Integrate multimodal clinical data: medical notes, digital twin outputs, ultrasound measurements Expand model predictions to new heart failure markers (e.g. pulmonary artery pressure, PVR) Build interpretable models aligned with clinical explainability standards Establish robust ML workflows: versioned data, automated training, reproducible validation Translate technical work into documentation for regulatory approval and clinical studies First 90 Days Deliver a working ML model on a defined patient dataset Build and document a high-quality data pipeline (ETL, labeling, validation) Establish baseline model metrics (accuracy, recall, F1, AUC) Draft clinical-grade documentation of data lineage, model assumptions, and architecture Begin compliance review aligned with HIPAA and Good ML Practices Tools & Stack Languages: Python (scikit-learn, PyTorch or TensorFlow, pandas, NumPy) Signal Processing: Custom and open-source cardiovascular signal tools Data: Custom clinical datasets, public sources (MIMIC, Mayo), multimodal records MLOps: Model versioning, reproducibility, documentation Compliance: HIPAA, SaMD, GMLP standards Requirements PhD in Biomedical Engineering, CS, or related; OR MS + 4+ years healthcare ML experience Hands-on experience developing ML models for physiological signals (ideally cardiovascular) Experience deploying models from research to production Strong background in signal processing and multimodal feature engineering Knowledge of FDA medical device regulations and SaMD compliance Fluent English and ability to work overlapping US hours Preferred Qualifications Experience with edge deployment for wearables Clinical text processing (EHR, medical notes) Background in cardiovascular physiology and biomarkers Experience with ultrasound data and vascular measurements Familiarity with FHIR/HL7, HIPAA-compliant pipelines Additional Details Work arrangement: Remote, offshore with US time zone overlap Interview process: Technical interview + management interview Soft skills: Documentation, scientific communication, cross-functional collaboration Compensation: TBD
We are hiring a QA Engineer to lead and execute both manual and automated testing including web, REST APIs, and potentially mobile/watch apps. You’ll design and run comprehensive test suites, validate key features, and contribute to automation pipelines in collaboration with developers and DevOps. Key Responsibilities Design, document, and execute test cases and test scenarios based on product requirements Perform both manual testing and automated testing across web, API, and optionally mobile platforms Build and maintain automated test suites using Selenium, Cypress, REST Assured, Postman, or JMeter Work closely with engineering teams to catch defects early and improve code/test coverage Contribute to CI/CD test automation and reporting integration Document bugs, analyze root causes, and validate resolutions First 90 Days Deliver comprehensive test coverage for web and API components of our cardio application Launch and validate the first wave of automated tests within our CI/CD pipeline Collaborate cross-functionally to integrate QA processes into the release cycle Establish baseline quality metrics and defect tracking systems Tools & Stack Testing Tools: Selenium, Cypress, Postman, REST Assured, JMeter Testing Types: Functional, regression, integration, load, and exploratory Focus Areas: Web app, REST APIs, potentially smartwatch/mobile apps CI/CD Integration: Azure DevOps, GitHub Actions Success Metrics High test case execution coverage Timely detection and resolution of critical defects CI/CD pipeline integration for automated test suites Reliable test documentation and communication Requirements 4–8 years of QA experience in software testing Experience with both manual and automated testing Familiarity with API testing and tools like Postman and REST Assured Working knowledge of automation frameworks (Selenium/Cypress/etc.) Strong attention to detail and remote documentation habits Fluent English and ability to work overlapping US hours Other Details Work arrangement: Remote, offshore Workload: Full-time (40+ hours/week) Interview process: Technical interview + management interview Soft skills: Communication, documentation, startup agility Compensation: TBD