Staff Software Engineer, AI Inference @ Speechify

2 months ago

Budapest, Hungary Speechify Full time

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.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

As Speechify expands, our AI team seeks a Staff Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them 

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.


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.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

As Speechify expands, our AI team seeks a Staff Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them 

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.

,[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.] Requirements: Python, Public cloud, GCP, Code, Docker, Kubernetes, ML models Additionally: Competitive compensation, Flat structure, Small teams, International projects, Not many meetings, Eastern-european working hours, In-house trainings, Startup atmosphere, In-house hack days.

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