The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At Varicent, we’re driven by the belief that great people power great companies. As our Senior Software Developer, GenAI, you’ll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.

You’ll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is ideal for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.

Overview
• Build and improve AI-enabled product features from prototype to production. You’ll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.

What You’ll Do:
• Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
• Write production-ready code and lightweight prototypes to validate ideas quickly.
• Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
• Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
• Document systems and workflows so others can run, maintain, and extend what you build.

GenAI Competencies You’ll Practice:
• Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
• Prepare and maintain data and test cases used to measure output quality.
• Apply common AI application patterns such as prompting, using internal knowledge sources, and calling external tools or APIs.
• Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
• Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
• Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.

How We Work:
• We balance exploration with delivery — test ideas quickly, then productionize what works.
• “Done” means quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
• The team owns systems end-to-end, including build, release, and operational reliability.

What You Bring:
• 4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
• 4+ years of hands-on technical experience writing production-quality code.
• Strong software engineering fundamentals, including system design and scalable architecture.
• Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability.
• An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces.
• Strong interest in learning and applying GenAI technologies in practical, production environments.

Nice to Have:
• Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines.
• Familiarity with LLMOps practices such as experiment tracking, version control for prompts or models, and cost or latency optimization.
• Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus.
• Contributions to open source, technical blogs, or conference talks.

Education:
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

 Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Ingeniero de Calidad (Quality Engineer)

Ubicación: Santa Catarina, Nuevo León (Área Metropolitana de Monterrey, México)

Descripción del Puesto

El Ingeniero de Calidad (QE) es responsable de asegurar que los productos, procesos y sistemas cumplan con los estándares establecidos de calidad, seguridad y normatividad. Este rol combina principios de ingeniería con gestión de calidad para prevenir defectos, mejorar la eficiencia y garantizar el cumplimiento.

El QE se enfoca tanto en el aseguramiento de la calidad (prevención) como en el control de calidad (detección), trabajando de forma cercana con equipos internos, proveedores y clientes.

Como parte del crecimiento del equipo de Calidad en México, tendrás la oportunidad de demostrar habilidades de liderazgo y posicionarte para futuras oportunidades de crecimiento dentro del equipo.

Reportarás al Líder de Calidad para México.

Responsabilidades

• Desarrollar e implementar estándares de calidad, procedimientos de inspección y protocolos de prueba.
• Monitorear procesos productivos, realizar auditorías y ejecutar análisis de causa raíz (5 Whys, Ishikawa, FMEA).
• Analizar datos utilizando métodos estadísticos (SPC, estudios de capacidad) para identificar variaciones y mejorar procesos.
• Gestionar no conformidades, acciones correctivas y preventivas (CAPA) y calidad de proveedores.
• Colaborar con equipos de diseño, producción e ingeniería en lanzamientos de nuevos productos (NPI).
• Preparar documentación, liderar auditorías y dar soporte a requerimientos de clientes (PPAP, FAI).
• Mantener actualizada la documentación y contribuir activamente al Sistema de Gestión de Calidad (QMS).

Áreas Clave de Responsabilidad

• Resolución de no conformidades con clientes mediante reportes 8D y coaching a socios de manufactura.
• Impulsar la mejora continua en colaboración con Strategic Sourcing y socios de manufactura.
• Fortalecer el sistema de gestión de calidad para reducir defectos y aumentar la confianza del cliente.
• Colaborar con equipos globales (China, India y EE.UU.) para estandarizar mejores prácticas.
• Realizar inspecciones en sitio con proveedores y evaluaciones internas.
• Gestionar aprobaciones de cliente para nuevos productos (PPAP).

Requisitos

• Mínimo 7 años de experiencia en procesos de lámina metálica, soldadura y maquinado CNC.
• Experiencia en documentación PPAP y lanzamientos de nuevos productos.
• Conocimiento de Core Tools (PFMEA, Plan de Control, Estudios de Capacidad).
• Dominio de inglés y español a nivel profesional.
• Excelentes habilidades de comunicación verbal y escrita.
• Capacidad de autogestión, organización y cumplimiento de tiempos.
• Experiencia en interpretación de planos y GD&T.
• Experiencia en elaboración de reportes 8D.
• Auditor interno de calidad (ISO 9001:2015 / IATF 16949) – deseable.
• Experiencia en inspección con equipos de medición.

Condiciones de Trabajo

• Trabajo principalmente en computadora durante la jornada laboral.
• Disponibilidad para viajar hasta un 10%.

Quality Engineer

Location: Santa Catarina, Nuevo León (Monterrey Metropolitan Area, Mexico)

Job Description

The Quality Engineer (QE) is responsible for ensuring that products, processes, and systems meet established quality, safety, and regulatory standards. This role blends engineering principles with quality management to prevent defects, improve efficiency, and maintain compliance.

The QE focuses on both quality assurance (prevention) and quality control (detection), working closely with internal teams, suppliers, and customers.

As the Mexico Quality Team continues to grow, you will have the opportunity to demonstrate leadership capabilities and position yourself for future advancement into a Quality leadership role.

You will report to the Quality Leader for Mexico.

Responsibilities

• Develop and implement quality standards, inspection procedures, and testing protocols.
• Monitor production processes, conduct audits, and perform root cause analysis (5 Whys, Fishbone, FMEA).
• Analyze data using statistical methods (SPC, capability studies) to drive process improvements.
• Manage non-conformances, corrective and preventive actions (CAPA), and supplier quality.
• Collaborate with design, production, and engineering teams on new product introductions (NPI).
• Prepare documentation, host audits, and support customer requirements (PPAP, FAI).
• Maintain updated documentation and contribute to the Quality Management System (QMS).

Key Areas of Responsibility

• Resolve customer non-conformances using 8D reports and coach manufacturing partners on root cause analysis.
• Drive continuous improvement initiatives with sourcing and manufacturing partners.
• Strengthen the quality management system to reduce defect rates and improve customer confidence.
• Collaborate with global counterparts (China, India, US) to standardize best practices.
• Perform on-site inspections at manufacturing partners and internal inspections.
• Support customer approvals for new product introductions (PPAP).

Qualifications

• Minimum 7 years of experience in sheet metal, welding, and CNC machining processes.
• Experience with PPAP documentation and new product launches.
• Knowledge of Core Tools (PFMEA, Control Plan, Capability Studies).
• Fluency in English and Spanish.
• Strong verbal and written communication skills.
• Self-starter with strong time management skills and ability to work independently.
• Strong ability to read and interpret technical drawings with GD&T.
• Experience preparing 8D reports.
• Internal Quality Auditor certification (ISO 9001:2015 / IATF 16949) – preferred.
• Experience with inspection using measurement equipment.

Work Conditions

• Primarily desk/computer-based work.
• Travel required up to 10%.

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

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