Research Engineer, Otter.ai
Model Inference
$175-220k
Office located in Mountain View, CA
AI notetaker, transcription & insights
Job no longer available
AI notetaker, transcription & insights
201-500 employees
Job no longer available
$175-220k
Office located in Mountain View, CA
201-500 employees
Company mission
To create smarter tools that free people up to do their best work.
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 at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2021
$10m
CONVERTIBLE
Feb 2021
$40m
SERIES B
Total funding: $73m
Company benefits
- Compensation: With highly competitive salaries and equity option packages, everyone's an owner here.
- Hybrid Working: You can mix and match working from our Mountain View or San Francisco office, plus a couple days from home.
- Social Gatherings: Quarterly gatherings in the Bay Area for some team real fun and authentic connection.
- Health and Wellness: Comprehensive medical, dental, vision, life insurance, disability, and wellness benefits that start the first day you do.
- PTO: Start with a minimum of 15 days of paid time off, plus up to 18 weeks for maternity leave and 8 weeks for paternity leave.
- 401(k): Plans to help meet your retirement goals because we care about your future.
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Sam Liang
(Co-Founder & 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
(Co-Founder & CTO)Has a PhD in Computer Science from Duke. Worked as Yahoo's Principal Software Engineer and was Head of Infrastructure at Particle Media.
Salary benchmarks
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