Research Engineer, Otter.ai
Model Inference
$175-220k
Office located in Mountain View, CA
Voice-first team collaboration app for meetings and conversations
Open for applications
Voice-first team collaboration app for meetings and conversations
101-200 employees
Open for applications
$175-220k
Office located in Mountain View, CA
101-200 employees
Company mission
To make all voice conversations accessible and searchable through Ambient Voice Intelligence™.
Role
Who you are
- Masters degree + 3 years of industry experience or Ph.D. degree in computer science, machine learning, speech/language processing or related field
- Experience in PyTorch
- Proficiency in Python
- Experience in C++
- Basic knowledge of CUDA
- Strong understanding of machine learning models, algorithms, and deployment strategies
- Experience with model optimization techniques and performance profiling
- Familiarity with docker and Kubernetes
- Knowledge of AWS
- Experience with monitoring tools
What the job involves
- As a Research Engineer on our Platform team, you'll advance the frontier of AI by maximizing efficiency and performance to achieve feats previously thought impossible
- You’ll do so by optimizing and deploying machine learning models for real-time applications
- Model optimization: Collaborate with machine learning researchers to understand model architectures and algorithms
- Implement optimization techniques to enhance machine learning models' efficiency and inference speed on production
- Deployment and Integration: Work closely with product engineers to integrate machine learning models into production systems in a scalable way
- Optimize models for real-time inference, ensuring low latency and high-throughput
- Set up monitoring systems to track model performance in real time
- Ensure models can scale horizontally to handle the increased load
- Implement strategies for resource-efficient inference, considering factors such as memory usage and CPU/GPU utilization
- Collaborate with cross-functional teams to understand requirements and constraints
- Provide technical expertise on inference-related matters during the model development lifecycle
- Document the deployment and optimization processes for machine learning models
Our take
Otter specifically thought of business professionals who are running from one meeting to the next, while juggling multiple projects with various teams. The company's technology integrates with platforms like Zoom, providing a way to record meetings and convert speech to text in real-time. It then streamlines communications for smarter, more collaborative, and more productive meetings—the first use of conversational AI to turn meetings into an actionable workflow.
This allows people to benefit from captioning, as well as teams to have a written record of the conversation, which can be edited and shared. Its AI can also highlight and comment on important sections of a meeting transcript, and automatically tag action items. In addition to businesses, students and universities – including UCLA, Tulane, and Western Kentucky – use the tool to increase accessibility.
The platform is used in more than 230 countries and has transcribed over 100 million meetings. Otter is far from alone in the audio transcription market, estimated to be worth nearly $41.89 billion by 2030, with Google’s free transcription tool posing a potential threat, as well as competitors such as Rev.
Kirsty
Company Specialist
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2021
$10m
CONVERTIBLE
Feb 2021
$40m
SERIES B
Total funding: $73m
Company benefits
- Stock and equity package
- Parental leave benefits
- Retirement savings program 401(k)
- Boundless snacks and free catered lunches
- Team lunches and social events
- Work from home opportunities
- Comprehensive package that includes health care (medical, dental, vision, life, disability) and mental health support
- $500 home office stipend
Company values
- Set Audacious Goals
- Work with Passion
- Engage with Authenticity
- Build with Ingenuity
- Operate with Speed
Company HQ
Old Mountain View, Mountain View, CA
Articles
Leadership
Sam Liang
(CEO)Earned a PhD from Stanford and then joined Cisco as a Senior Software Engineer. Worked as a Tech Lead at Google and is a member of the Forbes Technology Council.
Yun Fu
(CTO)Has a PhD in Computer Science from Duke. Worked as Yahoo's Principal Software Engineer and was Head of Infrastructure at Particle Media.
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