Senior Software Development Engineer

At AssemblyAI, we're building at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding available through a straightforward API. With more than 200,000 developers building on our API and over 5,000 paying customers, AssemblyAI is helping unlock and support the next generation of powerful, meaningful products built with AI.
Progress in AI is moving at an unprecedented pace– and our team is made up of experts in AI research that are focused on making sure that our customers are able to stay on the cutting edge, with production-ready AI models that are constantly updating and improving as our team continues to improve accuracy, latency, and what's possible with Speech AI. Our models power more than 2 billion end-user experiences each day, helping companies better understand customer feedback, run more productive meetings with automated meeting notes, and helping improve childhood literacy via ed tech tools.
We've raised funding by leading investors including Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collision, Nat Friedman, and Daniel Gross. We're a remote team looking to build one of the next great AI companies, and are looking for driven, talented people to help us get there
We're seeking an exceptional Senior Software Engineer to join our AI Data team. This role is focused on building robust, scalable systems that power our AI data platform. You'll work on high-impact projects that directly influence our ability to train, evaluate and deploy models at scale, with a strong emphasis on software engineering excellence, system reliability, and code quality.
You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and continuously improving engineering practices. This role requires close collaboration with researchers, platform engineers, and other stakeholders. Architect Next-Gen AI Data Infrastructure
Design scalable, future-proof data platforms optimized for AI research workloads
Build efficient self-serve data processing pipelines leveraging GCP's advanced services
Implement cost-effective storage and monitoring solutions for ML at scale
Create flexible training resource management with intelligent queuing
Optimize resource allocation for maximum training efficiency
Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions
Implement guardrails for cost, quality, and performance
Identify and eliminate technical bottlenecks in the data processing and training pipelines
5+ years of professional software engineering experience
~ Strong proficiency in Python and SQL with demonstrated ability to write production-quality code
~ Solid understanding of software engineering fundamentals:
~ Data structures and algorithms
~ Testing strategies (unit, integration, end-to-end)
~ Track record of delivering high-quality software in a team environment
Understanding of ML/AI infrastructure and data pipelines
Experience with monitoring and observability tools (Datadog)
Background in data engineering roles
Excellent at software fundamentals - You write code that others want to emulate
Quality-focused - You care deeply about testing, documentation, and maintainability
Collaborative - You work well with diverse stakeholders and help others succeed
Growth-minded - You're curious, eager to learn, and want to expand into platform and infrastructure engineering
The ideal candidate brings strong software engineering discipline and is excited to apply those skills to the unique challenges of data engineering at scale to support our model development lifecycle.
AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.
We set ranges per country to ensure competitive, fair, and transparent compensation across regions. Final offers will vary based on interview performance, experience, skill level, and maintaining internal equity. The expected base compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote
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.
Using AI to Interview:
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Learn more about AI models for speech recognition
Core Transcription | Audio Intelligence | LeMUR | Try the Playground