Full-Time

Research Engineer

Model Inference

Confirmed live in the last 24 hours

Otter.ai

Otter.ai

201-500 employees

Real-time AI transcription and meeting automation

Consumer Software
AI & Machine Learning
Education

Compensation Overview

$175k - $220kAnnually

Mid, Senior

Mountain View, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
CUDA
Pytorch
Docker
AWS
C/C++
Requirements
  • 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
Responsibilities
  • 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.

Otter.ai offers real-time transcription services powered by artificial intelligence, primarily through its AI Meeting Assistant, Otter. This tool transcribes audio, identifies speakers, and generates meeting summaries, making it useful for professionals like journalists and corporate teams. It integrates with popular virtual meeting platforms, enhancing productivity in remote work settings. The company's goal is to streamline the documentation of meetings and lectures, making information more accessible and actionable.

Company Stage

Series B

Total Funding

$71M

Headquarters

Los Altos, California

Founded

2016

Growth & Insights
Headcount

6 month growth

33%

1 year growth

50%

2 year growth

90%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-powered meeting summarization tools are gaining traction, boosting Otter.ai's market potential.
  • Small businesses investing in AI highlight a market for Otter.ai's subscription services.
  • The AI in education market is projected to grow, offering expansion opportunities for Otter.ai.

What critics are saying

  • Increased competition from AI collaboration tools like Snap could threaten Otter.ai's market share.
  • Specialized competitors like Jivi AI in niche markets may emerge in Otter.ai's core areas.
  • Localized AI solutions like Sahabat-AI could challenge Otter.ai's global expansion efforts.

What makes Otter.ai unique

  • Otter.ai offers real-time transcription with speaker identification and meeting summaries.
  • The platform integrates seamlessly with Zoom, Microsoft Teams, and Google Meet.
  • OtterPilot captures slides, extracts action items, and generates AI-driven meeting summaries.

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Benefits

Competitive salary

Comprehensive stock and equity package

Hybrid Work Options

Company Gatherings

Comprehensive health care package (medical, dental, vision, life, disability)

PTO

401(k) retirement savings program