
About AssemblyAI
Speech AI models that transform voice data into insights
Key Highlights
- Raised $113.2 million in Series B funding
- Over 1000% growth in developers using APIs from 2021 to 2022
- Customers include NBC Universal, Spotify, and Veed
- Remote-first culture with global hiring
AssemblyAI, headquartered in Inner Sunset, San Francisco, CA, specializes in advanced Speech AI models that enable automatic speech recognition and understanding. With a customer base that includes startups like Veed and global enterprises such as NBC Universal and Spotify, AssemblyAI has experience...
🎁 Benefits
AssemblyAI offers competitive salaries, equity grants for all employees, and a home office stipend of $1,000. The company promotes a flexible PTO poli...
🌟 Culture
AssemblyAI fosters a remote-first culture, enabling employees to work from anywhere while focusing on trust and accountability. The company values div...
Skills & Technologies
Overview
AssemblyAI is seeking a Senior Software Engineer to join their LLM team focused on building and maintaining advanced Speech AI models. You'll work with Go to enhance their speech-to-text API and contribute to cutting-edge AI technology. This role requires significant experience in software engineering.
Job Description
Who you are
You have 5+ years of experience in software engineering, with a strong focus on building scalable applications. Your expertise in Go allows you to develop high-performance systems that can handle complex tasks efficiently. You understand the intricacies of API design and are comfortable working with cloud-based technologies. You thrive in collaborative environments and enjoy sharing knowledge with your team. You are passionate about AI and its applications, particularly in speech recognition and understanding. You have a track record of delivering production-ready software and are adept at troubleshooting and optimizing existing systems.
Desirable
Experience with machine learning frameworks or libraries is a plus, as is familiarity with speech recognition technologies. You may have worked on projects that involve large datasets and understand the challenges of processing and analyzing such data. A background in AI research or development would be beneficial, as it aligns with AssemblyAI's mission to push the boundaries of what's possible with Speech AI.
What you'll do
As a Senior Software Engineer on the LLM team, you will be responsible for developing and maintaining the core components of AssemblyAI's speech-to-text API. You will collaborate closely with AI researchers to implement new features and improve existing models. Your role will involve writing clean, efficient code in Go, ensuring that the API is robust and scalable. You will participate in code reviews and contribute to architectural discussions, helping to shape the future of the platform. You will also be involved in performance tuning and optimization, ensuring that the system meets the high standards expected by over 200,000 developers using the API.
You will have the opportunity to work on innovative projects that directly impact the user experience for thousands of customers. Your contributions will help enhance the accuracy and efficiency of speech recognition models, making a significant difference in how businesses leverage AI technology. You will be part of a remote team that values collaboration and continuous learning, providing you with the chance to grow your skills and advance your career in a fast-evolving field.
What we offer
AssemblyAI offers a competitive salary and benefits package, along with the flexibility of remote work. You will be part of a dynamic team that is dedicated to pushing the boundaries of AI technology. We foster a culture of innovation and encourage you to bring your ideas to the table. You will have access to resources and support to help you succeed in your role and contribute to the company's mission of transforming the way speech is understood and utilized in technology. Join us in building the next generation of powerful AI products that make a real impact on users worldwide.
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