Senior Software Engineer, Inference

🔥 29 minutes ago

🇺🇸 United States – Remote

💵 $190k - $225k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AssemblyAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 $30M Series B on 2022-07

Consulting • Marketing • Logistics

AssemblyAI is an API platform specializing in state-of-the-art AI models, particularly in the field of speech recognition and understanding. The company closely monitors advancements in AI research to enhance its production-ready models. Developers and product teams leverage AssemblyAI's API for various applications, including transcription, conversation intelligence, summarization, and audio/video content moderation. The introduction of their framework, LeMUR, allows users to effectively apply powerful language models to transcribed speech, further broadening the capabilities of their offerings.

📋 Description

• Design and ship customer-facing APIs exposing new model capabilities, from prototype through launch and ongoing iteration • Scale inference infrastructure to support 1M+ API users • Partner with researchers to productionize new techniques, converting notebooks or proofs of concept into reliable, low-latency, customer-ready systems • Work with customers and Applied teams to understand product usage and inform product design and research direction • Contribute across backend services, inference infrastructure, SDKs, and internal tooling

🎯 Requirements

• Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production • Comfort operating with ambiguity • Genuine curiosity about AI/ML • Ability to understand model behavior sufficiently to make sound engineering decisions • Strong collaboration skills with researchers, applied engineers, and customers

🏖️ Benefits

• Compensation, benefit, and other reward opportunities • Candidate AI Guidance explaining permitted AI use during the interview process

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