[Remote] AI Infrastructure Engineer [US] at Speechify

Remote

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

3+ years of Software Engineering or ML Platform/Infrastructure experience
Proficiency in Python (or similar)
Containerization (Docker, Kubernetes)
CI/CD pipelines
Kubernetes
Cloud proficiency (AWS, GCP, or Azure)
Infrastructure-as-code tools (Terraform, CloudFormation)
Experience with ML frameworks (TensorFlow, PyTorch, or similar)
Experience with orchestration tools (Kubeflow, Airflow, MLflow)
Deep understanding of data pipelines, model deployment, and real-time inference systems
Strong communication skills
Hands-on with CI/CD and Model Serving

Responsibilities

Design, implement, and maintain high-performance ML training and inference platforms
Develop MLOps tools for efficient model deployment
Improve scalability, reliability, and cost efficiency of model training and serving systems
Partner with researchers to turn experimental voice models into production-ready systems
Establish standards for model versioning, testing, monitoring, and governance
Automate data/model pipelines

Skills

Key technologies and capabilities for this role

AI InfrastructureMachine LearningMLOpsPlatform DesignScalabilityPerformance OptimizationModel VersioningModel TestingModel MonitoringGovernanceData ScienceData Engineering

Questions & Answers

Common questions about this position

Is this a remote position?

Yes, Speechify operates in a 100% distributed setting with no office, allowing fully remote work.

What technical skills are required for this role?

Required skills include proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, cloud platforms (AWS, GCP, or Azure), infrastructure-as-code tools (Terraform, CloudFormation), ML frameworks (TensorFlow, PyTorch), and orchestration tools (Kubeflow, Airflow, MLflow). A deep understanding of data pipelines, model deployment, real-time inference systems, and strong communication skills are also needed.

What experience level is needed for this AI Infrastructure Engineer role?

Candidates need 3+ years in Software Engineering or ML Platform/Infrastructure roles, focusing on distributed systems, cloud services, or MLOps.

What is the company culture like at Speechify?

Speechify has a 100% distributed team of nearly 200 people globally, including talent from Amazon, Microsoft, Google, Stanford PhD programs, and high-growth startups like Stripe and Vercel.

What makes a strong candidate for this position?

A strong candidate has 3+ years in software engineering or ML infrastructure with hands-on experience in distributed systems, MLOps, cloud platforms, containerization, and ML frameworks, plus the ability to collaborate across teams.

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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