Technical Engineering Manager
Research Engineering
Posted on 2/13/2024
AssemblyAI

51-200 employees

Audio transcription API company
Company Overview
AssemblyAI’s mission is to make state-of-the-art AI models accessible to developers and product teams at an extremely large scale through a simple API. The company’s ASR models are best-in-class and the company’s API is used by many companies and developers to transcribe and understand a wide variety of audio formats. The API powers products ranging from conversational intelligence platforms, zoom meeting summarizes, content moderators, and automatic closed captioning.
AI & Machine Learning
B2B

Company Stage

Series C

Total Funding

$158.1M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

69%

2 year growth

344%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
gRPC
Python
Java
JIRA
Terraform
Data Analysis
Google Cloud Platform
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • 7+ years of experience working with large scale production-quality data platforms
  • 2+ years defining, executing and landing a long term (4+ quarter) vision for a single project or team
  • 3+ years experience as Technical Lead
  • 5+ years of experience in Java/python and 2+ years of experience in python/Java
  • 1+ years of hands-on technical management experience w/team of 4 or more
  • 3+ years of experience using task tracking systems such as Jira
  • 2+ years working with stakeholders (PM, TPM, leadership, etc)
Responsibilities
  • Partner with the research team and manage, lead, and grow the Research Engineering / ML Ops team
  • Define and execute on a long term roadmap for the audio data processing and model training platform
  • Expand the platform for broader research and internal uses
  • Coordinate large spanning initiatives with internal teams
  • Mentor more junior engineers
  • Drive alignment among teams and push for best practices
  • Have a demonstrated track record of growing engineers of all levels to the next level
  • Have successfully partnered with internal teams to coordinate large spanning initiatives
  • Have a core understanding of the fundamentals around CI/CD, monitoring and alerting, SLOs/SLAs, canaries, and pipeline resiliency
  • Capable of having in-depth discussions with engineers about decisions they are making, especially around scaling and resiliency
Desired Qualifications
  • Experience in a mono-repo environment, using trunk-based development
  • Experience using Terraform, or other Infrastructure-as-code principles
  • Experience using Bazel as primary build tool
  • ML Ops experience
  • Experience training models, especially on TPU’s
  • Experience building on GCP
  • gRPC, protocol buffer, DataFlow