Developer Educator, Machine Learning (Remote)

Remote - San Francisco, California, United States

Applications have closed

AssemblyAI

With AssemblyAI's industry-leading Speech AI models, transcribe speech to text and extract insights from your voice data.

View company page

AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simple APIs.

Hundreds of companies, and thousands of developers, use our APIs to both transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.

We’ve been growing at breakneck speed, and are backed by leading investors including Y Combinator’s AI Fund, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber, Coinbase, SpaceX, Instacart, Notion, and Cruise Automation).

AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.

Join our world-class, remote team and help us build an iconic deep learning company!

Responsibilities:

AssemblyAI is growing quickly, and we’re searching for a Developer Educator who will create high quality content for the developer community. With significant investment and strong leadership to fuel our growth, it’s the perfect time to join the AssemblyAI team!

In this role you’ll have the opportunity to:

  • Create high quality programming and machine learning content for the developer community. Content created by our Developer Education team can include blog posts, tutorials, Youtube videos, and similar pieces of content.
  • Create projects & tutorials with our API and interact with developers in our community. You will create tutorials and example projects with the AssemblyAI API, new AssemblyAI features, and interact with our community of developers on Reddit, Hacker News, and Discord.

Requirements

  • 3+ years of experience with Python
  • Some experience with Machine Learning or Deep Learning libraries like PyTorch, TensorFlow, Keras, SciPy, etc.
  • A proven interest in creating educational or interesting developer content (blogs, open source projects, etc.)
  • A plus would be some experience with SEO or marketing
  • Experience with writing scalable, reliable, performant and overall high quality components and applications
  • Experience working with API's
  • Start-up experience


Skills:

  • Ability to effectively communicate complex technical topics in a simple way
  • You are a self-starter, well organized, creative, results-oriented, quality minded and a team-first player
  • Great relationship builder and networker
  • Strong written & verbal communication, research, and presentation skills

Benefits

  • Competitive salary
  • Equity
  • 100% Remote team
  • Unlimited PTO
  • Premium Healthcare (100% Covered)
  • Dental and vision care
  • $1K budget for your home office setup
  • New Macbook Pro (or PC if you prefer)
  • 3-4x/year company paid team retreats

Tags: APIs Deep Learning GitHub Keras Machine Learning NLP Open Source Python PyTorch Research SciPy TensorFlow

Perks/benefits: Career development Competitive pay Equity Gear Health care Home office stipend Startup environment Team events Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  7  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.