AI Engineer & Researcher, Inference - Dallas, USA

Job Description PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004 DO NOT APPLY BELOW 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 PDFs, books, Google Docs, news articles, and websites into audio, enabling faster reading, more reading, and better retention. Speechify's products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google named Speechify the Chrome Extension of the Year, and Apple featured it as App of the Day. Currently, nearly 200 people worldwide work remotely for Speechify, which has no physical office. Our team includes frontend and backend engineers, AI research scientists, and professionals from Amazon, Microsoft, Google, Stanford, Stripe, Vercel, Bolt, and other startups and founders. This is a key role suited for someone who thinks strategically, thrives in fast-paced environments, is passionate about product decisions, and has experience creating engaging user experiences. We are a flat organization that encourages leadership through technical excellence and consistent, rapid results. Strong work ethic, clear communication, and a winning mindset are essential. Our interview process involves multiple technical interviews, typically completed within one week. What You'll Do Collaborate with machine learning researchers, engineers, and product managers to deliver AI Voices to diverse customers Deploy and manage core ML inference workloads for our AI Voices pipeline Implement new techniques, tools, and architectures to improve performance, latency, throughput, and efficiency Develop tools to identify bottlenecks and instability sources, then design solutions for high-priority issues An Ideal Candidate Should Have Experience shipping Python-based services Responsibility for the successful operation of critical production services Experience with public cloud environments, preferably GCP Knowledge of Infrastructure 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 shaping our products and company A team that values innovation, intuition, and drive Autonomy fostering focus and creativity Impact in a revolutionary industry Competitive pay, a welcoming culture, and a strong asynchronous work environment Work on products that positively impact lives, especially those with learning differences like dyslexia and ADD Engagement at the intersection of AI and audio in a rapidly evolving field Salary US base salary range: $140,000 - $200,000 + bonus + equity, depending on experience Interested in this role? Tell us about yourself and why you're interested when you apply. Include links to your portfolio and LinkedIn. Know someone suitable? Refer them! Speechify is committed to diversity and inclusion. We do not discriminate based on race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or other protected categories.

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