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Remote Senior Backend Engineer, AI Inference (Python)
Speechify Inc
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Full-TimeBack-End ProgrammingNorth America OnlyEurope OnlyUK OnlyCanada OnlyDockerNode.jsKubernetesGCP
Speechify Inc
Florida
Website
DEI Policy
Remote Policy
Jobs posted: 6
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Time zones: EST (UTC -5), CST (UTC -6), MST (UTC -7), PST (UTC -8), AKST (UTC -9), HST (UTC -10), SBT (UTC +11), GMT (UTC +0), CET (UTC +1), EET (UTC +2), MSK (UTC +3), AST (UTC -4), FKST (UTC -3), NST (UTC -3:30)
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.
What We Offer
Senior Backend Engineer, AI Inference (Python)
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.
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.