AssemblyAI provides speech AI APIs that transcribe and extract insights from audio to make voice data searchable and actionable. The company delivers cloud-hosted speech-to-text and audio…
AssemblyAI provides speech AI APIs that transcribe and extract insights from audio to make voice data searchable and actionable. The company delivers cloud-hosted speech-to-text and audio…
Making voice data searchable, analyzable, and actionable across contact centers, media, and analytics use cases.
Founded
2017
Industry
Software Development
Tech Stack
Proprietary speech recognition models
LLM-based frameworks (e.g., LeMUR)
Cloud-hosted APIs
Funding Track Record
Series C- 2023-12-04
$50,000,000
Participation from Insight Partners, Y Combinator, and individual investors
Series A (or prior disclosed round)- 2022-03-04
$28,000,000
Investor Signal
“Accel leading multiple rounds; participation from Insight Partners, Y Combinator, and notable individual investors (e.g., Nat Friedman, Daniel Gross, Keith Block, John Collison)”
Founders
What we do
Join the Team
Senior Software Engineer, Machine Learning
On-SiteFully, Valais, CH
On-Site • Fully, Valais, CH
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Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
Develop and maintain user-facing APIs that interact with our ML systems
Implement comprehensive observability solutions to monitor model performance and system health
Troubleshoot and lead resolution of complex production issues across distributed systems, driving root-cause analysis and implementing preventive measures
Set the direction for and continuously improve MLOps practices, identifying the highest-impact opportunities to reduce friction between research and production
Collaborate closely with research and engineering teams to align on technical direction, and help onboard and mentor engineers on ML infrastructure best practices.
Experience
Salary and Perks
Pay range:
$195K - $225K
About AssemblyAI
Industry-leading Speech AI models to automatically recognize and understand speech.
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Strong backend engineering experience with Python
Experience building and operating distributed, containerized applications, preferably on AWS
Proficiency implementing observability solutions (monitoring, logging, alerting, tracing) for production systems
Ability to design and implement resilient, scalable architectures
Track record of independently scoping and delivering complex technical projects from problem identification through production deployment
Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving
MLOps experience, including familiarity with PyTorch and Kubernetes
Experience working in fast-paced environments where you owned technical direction for an area and drove projects with minimal oversight.
Experience collaborating with remote, globally distributed teams
Comfort working across the entire ML lifecycle from model serving to API development
Experience in audio-related domains (ASR, TTS, or other domains involving audio processing)
Experience with other cloud providers
Familiarity with Bazel and monorepos
Experience with alternative ML inference frameworks beyond PyTorch
Experience with other programming languages
Experience mentoring junior engineers or onboarding teammates onto complex systems
