Software Engineer, Data Infrastructure & Acquisition - Taipei, Taiwan

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Software Development, Artificial Intelligence, AI & Machine Learning, Text-to-SpeechIndustries

Requirements

Candidates should have experience shipping Python-based services and be responsible for the successful operation of a critical production service. Experience with public cloud environments (GCP preferred), Infrastructure as Code, Docker, and containerized deployments is required. Preferred qualifications include experience deploying high-availability applications on Kubernetes and deploying ML models to production.

Responsibilities

The Software Engineer will work with machine learning researchers, engineers, and product managers to deliver AI Voices to customers for various use cases. They will deploy and operate core ML inference workloads for the AI Voices serving pipeline, introduce new techniques, tools, and architecture to improve model performance, latency, throughput, and efficiency, and build tools to identify bottlenecks and instability, then design and implement solutions.

Skills

Data Infrastructure

Data Acquisition

Machine Learning

ML Inference

Model Deployment

Performance Optimization

Latency Reduction

Throughput Improvement

Efficiency Improvement

Bottleneck Analysis

Stability Monitoring

Software Engineering

Backend Engineering

AI Research

Product Management

Communication Skills

Problem-Solving

Speechify

Text-to-speech application for accessibility

About Speechify

Speechify provides a text-to-speech application that helps users access information audibly. It is designed for a diverse audience, including students, professionals, and individuals with learning differences like dyslexia and ADHD. The application works by converting written text into spoken words, allowing users to listen to content through various platforms, including a Google Chrome extension, web app, and mobile apps for iOS and Android. This accessibility feature is particularly beneficial for those who prefer auditory learning or have difficulty reading. Unlike many competitors, Speechify offers a freemium model, where basic features are free, and advanced options are available through a subscription. This approach, along with partnerships with platforms like Medium and the Star Tribune, helps expand its reach to over 20 million users worldwide. The goal of Speechify is to eliminate reading barriers, enabling users to learn and retain information more effectively.

Los Angeles, CaliforniaHeadquarters

2017Year Founded

$10MTotal Funding

SEEDCompany Stage

Consumer Software, EducationIndustries

51-200Employees

Benefits

Flexible Work Hours

Risks

Emerging assistive tech platforms increase competition in the digital accessibility space.

Reliance on partnerships poses risks if partners develop in-house solutions.

Freemium model challenges revenue growth if users don't convert to paid subscriptions.

Differentiation

Speechify offers a freemium model, attracting a broad user base globally.

The platform supports users with learning differences, enhancing accessibility and inclusivity.

Partnerships with major publications integrate Speechify's technology into widely-read platforms.

Upsides

AI-driven voice modulation enhances user experience with natural speech synthesis.

Partnerships with educational platforms expand Speechify's reach in remote learning.

Growing demand for accessibility tools boosts Speechify's presence in corporate environments.

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