Speechify Logo

Speechify

Software Engineer, iOS Core Product - Peoria, USA

Posted 5 Days Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in USA
Mid level
Easy Apply
Remote
Hiring Remotely in USA
Mid level
The Software Engineer will work with ML researchers and engineers to deploy and operate AI services, optimize model performance, and improve production tools.
The summary above was generated by AI

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 App of the Day.

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.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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
  • Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases
  • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline
  • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models
  • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues
An Ideal Candidate Should Have
  • Experience shipping Python-based services
  • Experience being responsible for the successful operation of a critical production service
  • Experience with public cloud environments, GCP preferred
  • Experience with Infrastructure such as Code, Docker, and containerized deployments.
  • Preferred: Experience deploying high-availability applications on Kubernetes.
  • Preferred: Experience deploying ML models to production

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.

Top Skills

Docker
GCP
Kubernetes
Python

Similar Jobs

16 Days Ago
Easy Apply
In-Office or Remote
Peoria, AZ, USA
Easy Apply
140K-200K Annually
Senior level
140K-200K Annually
Senior level
Software
As a Senior iOS Engineer, you'll lead engineering decisions, ship production code, maintain app architecture, and drive product discussions.
Top Skills: Ci/CdFastlaneGitSwiftSwiftui
59 Minutes Ago
Remote or Hybrid
US
100K-105K Annually
Junior
100K-105K Annually
Junior
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
The Senior Services Process Transformation Analyst collaborates with stakeholders to analyze, document, and improve business processes, while assisting in the implementation of technology-driven changes.
Top Skills: Data AnalyticsExcelMS OfficePower BI
An Hour Ago
Remote or Hybrid
US
116K-132K Annually
Mid level
116K-132K Annually
Mid level
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
The Manager leads a team focused on Microsoft and Collaboration solutions, driving sales growth, aligning strategies, and overseeing team performance. They foster collaboration, develop talent, and ensure a customer-centric approach while managing operational processes and metrics.
Top Skills: Microsoft LicensingSalesforce

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account