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.

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

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

We are partnering with a venture-backed, early-stage technology company building a programmable loyalty and rewards operating system for global consumer brands. The platform enables brands to launch white-label fan engagement and monetisation experiences—including predictions, quests, digital drops, auctions, and ticketing—without gambling mechanics.

At its core, the platform combines consumer-grade applications with a tokenised exchange and settlement layer, enabling branded tokens to be issued, traded, and distributed at scale. Initial verticals are in global sports and entertainment, with expansion planned into additional IP-driven markets.

The company is now seeking a Founding CTO to lead the architecture and build-out of its protocol, exchange infrastructure, and engineering organisation from day one.

As Founding CTO, you will be responsible for designing, building, and scaling the full technical stack, with a particular focus on the exchange and protocol layer. You will oversee smart contract development, liquidity and market mechanics, wallet infrastructure, and the integration between on-chain systems and high-scale consumer products.

This is a hands-on leadership role suited to a senior Web3 technologist who has shipped production protocols and wants full ownership of technical strategy in a greenfield environment.

Responsibilities

• Exchange & protocol architecture
• Design and deploy a hybrid AMM / orderbook-based exchange for branded tokens
• Build liquidity pools, routing logic, and market-making infrastructure
• Define token economics, liquidity incentives, and trading mechanics
• Smart contracts
• Develop, test, and deploy core protocol contracts, including:
• Token standards
• Liquidity pools and staking
• Rewards distribution and governance
• Lead audit processes and ensure a strong on-chain security posture
• Wallet & settlement infrastructure
• Implement abstracted wallet solutions (e.g. smart accounts, MPC)
• Integrate fiat on/off-ramps and external custody providers where required
• Platform integration
• Oversee architecture connecting the protocol layer to:
• Engagement mechanics (predictions, quests, missions)
• Rewards and commerce systems (drops, auctions, ticketing, merchandise)
• Analytics and reporting dashboards
• Consumer products
• Guide development of mobile (iOS/Android) and web applications delivered under partner branding
• Leadership & strategy
• Hire, lead, and scale the engineering team across protocol, backend, and product
• Set engineering standards, development workflows, and technical roadmap
• Make strategic build-vs-buy decisions and select vendors and tooling

Qualifications

• 5+ years building blockchain or crypto infrastructure
• Proven experience shipping at least one protocol or exchange to mainnet
• Deep understanding of DeFi mechanics (AMMs, liquidity mining, tokenomics)
• Strong production smart contract experience with a clean audit track record
• Experience working with L2s, rollups, or app-chains
• Familiarity with consumer-facing systems and real-time platforms
• Comfortable operating in early-stage, resource-constrained environments
• Able to balance protocol purity with product and user experience needs
• Strong communicator across technical and non-technical stakeholders

Technical environment

• Smart contracts: Solidity (advanced), Foundry / Hardhat, formal verification fundamentals
• Languages: TypeScript/JavaScript, Rust or Go, Python
• Infrastructure: RPC operations, indexers/subgraphs, GCP, Docker/Kubernetes
• Security: Audit coordination, attack vector mitigation (reentrancy, flash loans, oracle risk), monitoring and incident response
• Product stack exposure: React Native or Flutter, PostgreSQL, Redis, event streaming (useful for protocol-to-product integration)

We are supporting a venture-backed, early-stage technology company building a white-label consumer engagement and rewards platform for global brands. The platform enables large-scale fan and customer experiences (e.g. predictions, quests, digital rewards, ticketing and commerce) while incorporating tokenised settlement and rewards infrastructure.

This role represents a true greenfield build. The Founding CTO will define the overall system architecture, technical standards, and engineering culture from day one, while delivering a production-grade platform designed to scale to millions of users.

As Founding CTO, you will take end-to-end ownership of the technology organisation, from initial architecture and hands-on development through to team build-out and long-term technical strategy.

You will work closely with founders and commercial stakeholders, translating product vision into scalable systems and ensuring the platform can support multiple partners, brands, and regions.

Responsibilities

• Platform & architecture
• Define and build the core platform architecture supporting engagement mechanics, rewards, commerce, and analytics
• Establish system design principles covering scalability, security, and performance
• Make key build-vs-buy decisions and select vendors, tooling, and infrastructure partners
• Backend & infrastructure
• Architect and implement backend services supporting real-time event ingestion, points/wallet systems, identity, and compliance controls
• Design robust data pipelines, storage, and API layers
• Own production readiness, including monitoring, alerting, SLOs, and incident response processes
• Consumer products
• Oversee development of mobile (iOS/Android) and web applications delivered under partner branding
• Ensure high-quality user experience across consumer touchpoints
• Token & rewards infrastructure
• Lead design and integration of tokenised reward systems, including smart contracts and distribution logic
• Manage wallet integrations and fiat on/off-ramps in collaboration with external providers
• Integrations
• Build and maintain APIs connecting to external data feeds, ticketing systems, commerce platforms, and sponsor tools
• Leadership & team
• Hire, mentor, and scale a high-performing engineering team
• Establish engineering standards, documentation practices, and development workflows
• Act as a hands-on technical leader while progressively transitioning to strategic oversight

Qualifications

• 8+ years of experience building consumer-facing technology products
• Proven experience delivering at least one 0-to-1 platform
• Track record of shipping and operating products at scale (100K+ users)
• Strong backend engineering background (distributed systems, real-time data, API design)
• Experience designing production-grade systems with high reliability requirements
• Comfortable working across frontend, backend, and infrastructure layers
• Strong written and verbal communication skills (architecture docs, technical strategy, roadmap planning)

Strongly preferred

• Experience with loyalty, gaming, or marketplace-style mechanics (e.g. rewards, auctions, prediction-style systems)
• Familiarity with blockchain or tokenised systems (smart contracts, wallets, settlement flows)
• Background in security-sensitive or compliance-aware systems
• Experience building white-label or multi-tenant platforms

Technical environment (current / planned)

• Languages: TypeScript/JavaScript, Node.js, Python; Go or Rust exposure is a plus
• Mobile: React Native or Flutter; native iOS (Swift) / Android (Kotlin) experience advantageous
• Infrastructure: Cloud-native (GCP), Docker/Kubernetes, CI/CD pipelines
• Data: PostgreSQL, Redis, event streaming (Kafka or equivalent)
• Web3 exposure: Solidity fundamentals, wallet integrations, token mechanics