Applied AI Engineer & Researcher

Speechify; Brasil; Teletrabalho; BRL 747.000 - 1.068.000; Tempo integral

Resumo da oferta

A leading technology firm focused on text-to-speech products is seeking a candidate experienced in research and development within NLP and TTS. You will work on building advanced AI speech models in a 100% distributed work setting. Ideal candidates should have experience in machine learning, strong technical skills, and a passion for making impactful product decisions. The role offers a competitive salary between $140,000-$200,000 plus bonuses and equity.

Serviços

Fast-growing environment

Supportive entrepreneurial crew

Hands-off approach to work

Impact in a transformative industry

Competitive salary and equity

Qualificações

• Experience with research and development in NLP, TTS, or CV focusing on image generation.
• Experience in Machine Learning (ML).
• Experience deploying NLP or TTS models to production at a large scale is preferred.
• Experience managing engineers and growing a research & development team is preferred.

Responsabilidades

• Research and implement state-of-the-art in Natural Language Processing (NLP) and Text-to-Speech (TTS).
• Work on building the most human sounding AI speech model.

Conhecimentos

Research and development in NLP

Machine Learning (ML)

Experience in deploying models

Python programming

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

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

• Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation
• Work on building the most human sounding AI speech model in the world

An Ideal Candidate Should Have

• Experience with research and development in NLP or TTS or CV with a focus on image generation.
• Experience in ML
• Preferred:
• Experience deploying NLP or TTS models to production at a large scale
• Experience managing engineers and growing a research & development team
• Experience programming in Python: Tensorflow and PyTorch frameworks specifically.

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

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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.