AssemblyAI - Senior Software Engineer, Machine Learning (EST or EMEA)
Requirements
• 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 • Pay Transparency: • Pay Transparency: • AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. • There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. • The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.
Responsibilities
• 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 our 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.
Benefits
• Working at AssemblyAI • We are a small but mighty group of startup veterans and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we’re looking for people to join our team who are ambitious, curious, and lead with integrity. We’re still in the early days of AI and of AssemblyAI’s journey, and are looking for teammates who won’t just fit in, but will help us define and build our company culture. • We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! • Using AI to Interview: • If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. • GDPR privacy notice: • Candidates from the EU should review this job applicant privacy notice before applying. • Keep Exploring AssemblyAI: • Check us out on YouTube! • Learn more about AI models for speech recognition • Speech-to-Text | Speech Understanding | LLM Gateway | Try the Playground • Our $50M Series C fundraise
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