Software Engineer iOS Core Product
@ Speechify

Los Angeles, California, United States
$150,000
On Site
Full Time
Posted 6 hours ago

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Job Details

About Speechify

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 convert written content into audio. Speechify’s offerings include an iOS app, Android app, Mac app, Chrome Extension, and Web app, with accolades such as Chrome Extension of the Year and Apple’s App of the Day. With nearly 200 remote employees from top companies and institutions, Speechify fosters a dynamic and innovative work environment.

Role Overview - Software Engineer iOS Core Product

This key role is perfect for a strategic thinker who thrives in fast-paced settings. You will work closely with machine learning researchers, engineers, and product managers to deploy AI Voices to customers, ensuring efficient and high-performance operations for core ML inference workloads.

Responsibilities

  • Collaborate with a cross-functional team to deliver AI solutions
  • Deploy and operate core ML inference workloads for the AI Voices pipeline
  • Introduce tools and architectures to improve model performance and efficiency
  • Develop monitoring tools to identify and resolve performance bottlenecks

Ideal Candidate

  • Experience with Python-based service shipping
  • Track record of operating critical production services
  • Familiarity with public cloud environments, preferably GCP
  • Experience with infrastructure tools such as Code, Docker and containerized deployments
  • Preferred: Knowledge of Kubernetes and deploying ML models to production

What We Offer

A dynamic environment where your technical contributions shape the company, autonomy to innovate, competitive compensation, and the opportunity to work on products impacting those with learning differences. Enjoy direct impact at the intersection of artificial intelligence and audio in a fully remote setting.

Key skills/competency

  • Python
  • ML Inference
  • Cloud (GCP)
  • Docker
  • Kubernetes
  • AI Voices
  • Infrastructure
  • User Experience
  • Performance Optimization
  • Remote Work
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How to Get Hired at Speechify

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python and ML experience clearly.
  • Showcase technical projects: Detail cloud and container deployments.
  • Research Speechify's culture: Explore remote work and innovation focus.
  • Prepare for interviews: Review ML and infrastructure case studies.

📝 Interview Preparation Advice

Technical Preparation

Review Python service deployment techniques.
Practice cloud environment setups, especially GCP.
Study Docker and container orchestration fundamentals.
Refresh ML model deployment and production troubleshooting.

Behavioral Questions

Describe working in fast-paced remote teams.
Explain handling production service incidents calmly.
Share experiences on cross-functional collaboration.
Discuss adapting to new technologies quickly.

Frequently Asked Questions