Software Engineer, AssemblyAI
Machine Learning
$157.5-175k
Speec AI models to automatically recognize and understand speech
Open for applications
Speec AI models to automatically recognize and understand speech
101-200 employees
Open for applications
$157.5-175k
101-200 employees
Company mission
To create new, superhuman Speech AI models that will unlock entirely new classes of applications and products to be built leveraging voice data.
Role
Who you are
- This person should have a strong backend engineering background in distributed systems and containerization, and be deeply interested in optimizing the path from research innovation to production value
- Strong backend engineering experience with Python
- Experience building and operating distributed, containerized applications, preferably on AWS
- Proficiency implementing observability solutions (monitoring, logging, alerting) for production systems
- Ability to design and implement resilient, scalable architectures
Desirable
- MLOps experience, including familiarity with PyTorch and Kubernetes
- Experience working in startup environments demonstrating ownership, decisiveness, and rapid iteration
- 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 Ray.io, Bazel, and monorepos
- Experience with alternative ML inference frameworks beyond PyTorch
- Experience optimizing for low-latency, real-time inference
What the job involves
- We're looking for a Machine Learning Engineer to accelerate our AI research-to-production pipeline
- This person will build infrastructure enabling our research team to rapidly deploy and safely test new models while maintaining efficient, scalable production inference systems
- This is a cross-functional role that requires close collaboration with both research teams developing models and engineering teams supporting the broader platform
- Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
- Build and maintain high-performance, cost-efficient inference pipelines in production
- Optimize infrastructure for both 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 complex production issues across distributed systems
- Continuously improve our MLOps practices to reduce friction between research and production
Our take
Audio has become central to many products on the internet, from the explosive uptake of Zoom to the inclusion of audio and video messaging features on dating apps. In this vein, AssemblyAI has developed AI models for transcribing, understanding and analyzing audio and video data.
Between the summers of 2021 to 2022, AssemblyAI saw the number of developers building with its APIs grow by over 1000%, with customers ranging from start-ups like Veed to global enterprises including NBC Universal and Spotify. Coupling this with a strong in-house pedigree - from the likes of DeepMind, Google Brain and Meta AI - AssemblyAI has built the foundations for a very exciting future.
And with funding under its belt, the company is scaling up its efforts; accelerating its product roadmap whilst building an even better AI infrastructure to speed up AI research and inference engines.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Dec 2023
$50m
SERIES C
Jul 2022
$30m
SERIES B
Total funding: $113.2m
Company benefits
- Home office stipend: We invest in our people first and offer competitive salaries across all roles andEvery new team member gets U$1,000 to improve their home office. We want to make sure everyone has the setup to do their best work. locations
- Equity: We want our team members to have skin in the game and an opportunity to see long-term returns on the hard work they are putting in. To that end, every team member receives a generous equity grant
- Premium benefit offerings: We offer premium medical, dental, and vision plans and cover up to 100% of the premiums for both the employee and their family. We also offer opportunities to contribute to an HSA or FSA, short-term and long-term disability coverage, and life insurance
- Unlimited PTO: We offer a flexible PTO policy to all team members and encourage everyone to take time off to recharge, do something fun, and spend time with loved ones
- Team offsites: We have team and company-wide retreats in amazing locations to give everyone an opportunity to meet in person, collaborate, and build working relationships that make us a better team
- Global remote team: We hire the best person for the job, regardless of location. Our remote-first culture allows team members to make an impact from anywhere in the world
- Diversity and inclusion: We celebrate diversity and are committed to creating an inclusive environment for all employees. We are proud to be an equal-opportunity workplace
- Flexible schedule: Strong teams are built on mutual trust and accountability. We believe in giving our team members ownership over their work and a flexible schedule to allow them to operate at their highest potential
Company HQ
Inner Sunset, San Francisco, CA
Leadership
Dylan Fox
(Founder & CEO)Previously founded and acted as CEO for YouGive1. Experience as Senior Software Engineer for Cisco and as a Lead Research Assistant for NDP Consulting.
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