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.

Our Software Engineers are focused on developing innovative platforms and systems that drive our trading and research efforts. While performance is a critical component of our software, we are focused on building a platform that is massively scalable, flexible, and forward-looking.  Our environment is highly collaborative, fostering innovation and growth.

As a C++ Software Engineer with Vatic, you will work directly with traders, researchers, and other developers to engineer cutting edge, ultra-low latency, high throughput trading systems. You will play a key role in taking projects from conception to deployment. You will drive innovation for the frameworks upon which our trading applications are based, as well as benchmarking and tuning critical software services to achieve optimum performance.

We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.  

If you possess the following, we would love to explore what is available for you with our team:

• Advanced proficiency with C/C++ systems development in a Linux environment
• Performance tuning and optimization of low latency software
• Demonstrable success building high performance software
• Experience building latency sensitive systems with a strong understanding of low-level systems and network development
• Strong understanding of hardware stack and hardware architecture from a latency perspective
• Strong understanding of network protocols
• Experience writing assembly code desirable
• Advanced knowledge of operating system internals and Linux kernel 
• Interest in x86 Assembly

Vatic Labs is a quantitative trading firm in New York and Abu Dhabi.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.  

As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.

We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.

If you possess the following, we would love to explore what is available for you with our team:

• Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
• Demonstrable experience coding in C++ or Python in a Linux environment
• Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.
• In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
• Have innate curiosity for understanding why and how certain techniques work
• Have deep knowledge of time-series analysis
• Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
• Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc.
• Have an interest and enthusiasm for learning about financial markets (previous experience not required)