Speechify Logo

Speechify

Software Engineer, AI Data - Hyderabad, India

Posted 16 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Build scalable pipelines for acquiring, processing, and curating audio data used in AI model training. Improve data quality, throughput, and cost at petabyte scale; collaborate with AI scientists on datasets and next-generation models; and own engineering projects from discovery through continuous improvement.
The summary above was generated by AI

Mission

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 for a Software Engineer - AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products.

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.

What You’ll Do:

  • Discover new sources of audio data and build reliable pipelines to bring them into our training datasets.
  • Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
  • Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models.
  • Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

An Ideal Candidate Should Have:

  • A degree in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of professional software engineering experience, with strong backend development fundamentals.
  • Proficiency in Python and Bash in Linux environments.
  • Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
  • Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Nice to Have

  • Experience with web crawlers, data acquisition, or distributed data-processing systems.
  • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
  • Familiarity with ML training data, dataset quality, or audio processing.

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.

Similar Jobs

26 Seconds Ago
Remote or Hybrid
United States
160K-260K Annually
Expert/Leader
160K-260K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.
Top Skills: DbtGcp Bigquery
2 Minutes Ago
Remote or Hybrid
United States
137K-174K Annually
Senior level
137K-174K Annually
Senior level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Owns high-priority consumer growth opportunities from diagnosis through execution. Analyzes portfolio performance, identifies and prioritizes investments, develops growth strategies, leads cross-functional teams, designs experiments and operating mechanisms, and drives measurable improvements in revenue, conversion, retention, and lifetime value.
Top Skills: SQL
12 Minutes Ago
Remote
United States
200K-275K Annually
Senior level
200K-275K Annually
Senior level
eCommerce • Food • Hardware • Internet of Things • Software
Lead product strategy and execution across Tovala’s food, hardware, software, and customer experience portfolio. Build customer insight loops, define data-informed strategy and roadmaps, align cross-functional stakeholders, establish measurable goals, accelerate experimentation, and coach product managers, UX researchers, and designers. Partner with engineering, operations, marketing, culinary, finance, and leadership to deliver differentiated products and improve customer retention and engagement.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account