Machine Learning Engineer, Otter.ai
$155-185k
Office located in Mountain View, CA
Voice-first team collaboration app for meetings and conversations
Be an early applicant
Voice-first team collaboration app for meetings and conversations
101-200 employees
Be an early applicant
$155-185k
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
- Holds a Bachelors or Masters degree in Computer Science or a related field + 3 years of relevant industry experience
- Has hands-on experience building ML models, and with finetuning/post-training LLMs or other foundation models
- Demonstrates deep understanding of state-of-the-art ML models and current research landscape
- Is able to deploy, monitor, and maintain ML models in production environments
- Has proficiency in Python and core ML frameworks, such as PyTorch, Tensorflow, Jax, etc
- Is able to work with large datasets and perform data preprocessing and feature engineering
- Is experienced working end-to-end with product/infra engineers, data scientists and PMs
- Experience with scaling large ML systems is a strong plus
- Significant experience with ASR/TTS or sequence-based NLP tasks (such as summarization) is a strong plus
What the job involves
- Join our core AI team responsible for ML and work alongside industry-veteran scientists and engineers. As a Machine Learning Engineer, you’ll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems—transforming innovative research into production-ready features that power Otter’s summarization and conversational intelligence products
- Build, optimize, and deploy robust SID/ASR/NLP/LLM pipelines powering summarization, chat, and other core product experiences
- Implement and scale training, fine-tuning, and inference for large language models (LLMs) using PyTorch or JAX
- Collaborate with research scientists to operationalize experimental models and bring cutting-edge ideas into production
- Own the reliability, latency, and scalability of AI-based systems and ensure they meet production standards
- Contribute to model monitoring, evaluation, and continuous improvement efforts using real-world conversational data
- Develop tools, infrastructure and data pipeline for automated training, evaluation, and deployment of ML models in a cloud environment
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
- 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 HQ
Old Mountain View, Mountain View, CA
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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