Software Engineer, Otter.ai

LLM

$136-185k

Python
Tensorflow
PyTorch
Mid and Senior level
San Francisco Bay Area

Office located in Mountain View, CA

Otter.ai

Voice-first team collaboration app for meetings and conversations

Open for applications

Otter.ai

Voice-first team collaboration app for meetings and conversations

101-200 employees

B2BArtificial IntelligenceProductivityCommunicationMobileVideo

Open for applications

$136-185k

Python
Tensorflow
PyTorch
Mid and Senior level
San Francisco Bay Area

Office located in Mountain View, CA

101-200 employees

B2BArtificial IntelligenceProductivityCommunicationMobileVideo

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 or related field
  • Experience in the construction and optimization of AI/NLP infrastructure and pipelines
  • Proficiency in Python and experience with frameworks like PyTorch/TensorFlow
  • Experience working with existing large language models is highly desirable
  • Superior system design and analytical abilities, with an eye for problem-solving
  • Demonstrated capacity to deliver in a high-velocity, dynamic environment

What the job involves

  • Our growing company is actively seeking a highly-skilled Large Language Model (LLM) Engineer to join our team
  • This role will have you directly involved in the design and development of state-of-the-art LLM-based algorithms and systems that power our conversational AI applications
  • If you possess a passion for pushing the boundaries of LLM technologies and have relevant LLM experience, we would love to connect
  • Spearhead the design, development and optimization of robust, scalable systems and infrastructure for deploying pioneering algorithms and systems based on large language models
  • Conduct research and rapidly prototype neural network architectures, training pipelines, inference servers, etc., ensuring we continually stay a step ahead in serving production workloads
  • Benchmark and profile diverse software/hardware configurations, striving for optimal model performance
  • Drive implementation of model optimizations for a more scalable and cost effective LLM system
  • Collaborate closely with our team of research engineers to streamline the transition of machine learning models and algorithms into production
  • Monitor and incessantly enhance system efficiency, latency, throughput and more

Share this job

View 25 more jobs at Otter.ai

Insights

Top investors

27% employee growth in 12 months

Company

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

Funding (last 2 of 5 rounds)

Feb 2021

$10m

CONVERTIBLE

Feb 2021

$40m

SERIES B

Total funding: $73m

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle