Software Engineer, iOS Core Product - Springfield, USA

Speechify; Brasil; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading text-to-speech technology company is seeking a Software Engineer to work on AI Voices. The ideal candidate has experience with Python-based services and public cloud environments. This role offers autonomy, competitive compensation, and the chance to contribute to innovative audio solutions that impact lives positively. Join a diverse and inclusive team dedicated to changing learning experiences.

Serviços

Dynamic environment

Innovation-driven team

Autonomy in work

Significant impact on the product

Competitive compensation

Exceptional asynchronous work culture

Qualificações

• 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 as Code, Docker, and containerized deployments.
• Preferred: Experience deploying high-availability applications on Kubernetes.
• Preferred: Experience deploying ML models to production.

Responsabilidades

• Work alongside machine learning researchers and engineers to bring AI Voices to customers.
• Deploy and operate the core ML inference workloads for AI Voices.
• Introduce new techniques that improve model performance and efficiency.
• Build tools for visibility into bottlenecks and design solutions.

Conhecimentos

Shipping Python-based services

Operation of critical production services

Public cloud environments (GCP preferred)

Infrastructure as Code

Docker and containerized deployments

Deploying high-availability applications on Kubernetes

Deploying ML models to production

Descrição da oferta de emprego

Software Engineer, iOS Core Product - Springfield, USA

Remote

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

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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.