Software Engineer iOS Core Product
@ Speechify

Cambridge, Massachusetts, United States
$150,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXX XXXXXXXXX XXXXXX***** @speechify.com
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Job Details

About Speechify

The mission of Speechify is to ensure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products across multiple platforms including iOS, Android, Mac, Chrome, and Web.

Position Overview

As a Software Engineer iOS Core Product at Speechify, you will work in a fast-paced, flat organization alongside experts from leading companies and institutions. You will be responsible for building robust machine learning inference pipelines and improving user experiences.

Key Responsibilities

  • Collaborate with ML researchers, engineers, and product managers.
  • Deploy and operate core ML inference workloads.
  • Introduce techniques to improve performance and efficiency.
  • Develop tools to monitor and address system bottlenecks.

Candidate Requirements

  • Experience with Python-based services.
  • Proven track record in operating critical production services.
  • Familiarity with public cloud environments; GCP is preferred.
  • Knowledge of Infrastructure as Code, Docker, and containerized deployments.
  • Preferred experience with Kubernetes and deploying ML models.

What We Offer

A dynamic, distributed work environment that values innovation, autonomy, and impact. Enjoy competitive compensation, a supportive culture, and a chance to work on products that change lives.

Key skills/competency

  • Python
  • Cloud
  • ML Deployment
  • Containerization
  • Kubernetes
  • Performance
  • Infrastructure
  • Tooling
  • Collaboration
  • Problem-solving
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How to Get Hired at Speechify

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor your application with relevant technical experiences.
  • Highlight Key Skills: Showcase your Python, cloud, and containerization expertise.
  • Prepare for Interviews: Practice technical and behavioral questions.
  • Research Speechify: Understand their mission and distributed work culture.

📝 Interview Preparation Advice

Technical Preparation

Review Python service deployment methods.
Practice cloud environment configuration, especially GCP.
Study Docker and container orchestration.
Learn Kubernetes high-availability deployments.

Behavioral Questions

Describe a challenging problem you solved.
Explain your teamwork experience in distributed settings.
Discuss handling high-pressure project deadlines.
Share how you improve communication skills.

Frequently Asked Questions