Job Details

divh2AI Engineer Researcher, Inference/h2pThe mission of Speechify is to make sure that reading is never a barrier to learning./ppOver 50 million people use Speechifys text-to-speech products to turn whatever theyre reading PDFs, books, Google Docs, news articles, websites into audio, so they can read faster, read more, and remember more. Speechifys 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./ppToday, 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./ppThis 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./ppWe 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./ppOur interview process involves several technical interviews and we aim to complete them within 1 week./ph3What Youll Do/h3ulliWork alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases/liliDeploy and operate the core ML inference workloads for our AI Voices serving pipeline/liliIntroduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models/liliBuild tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues/li/ulh3An Ideal Candidate Should Have/h3ulliExperience shipping Python-based services/liliExperience being responsible for the successful operation of a critical production service/liliExperience with public cloud environments, GCP preferred/liliExperience with infrastructure such as Code, Docker, and containerized deployments/liliPreferred: Experience deploying high-availability applications on Kubernetes/liliPreferred: Experience deploying ML models to production/li/ulpstrongWhat We Offer/strong/pulliA dynamic environment where your contributions shape the company and its products/liliA team that values innovation, intuition, and drive/liliAutonomy, fostering focus and creativity/liliThe opportunity to have a significant impact in a revolutionary industry/liliCompetitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture/liliThe privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more/liliAn active role at the intersection of artificial intelligence and audio a rapidly evolving tech domain/li/ulpstrongThink youre a good fit for this job?/strong/ppTell us more about yourself and why youre interested in the role when you apply. And dont forget to include links to your portfolio and LinkedIn./ppstrongNot looking but know someone who would make a great fit?/strong/ppRefer them!/ppstrongSpeechify is committed to a diverse and inclusive workplace./strong/ppSpeechify 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./p/div