# Machine Learning Engineer at Hive

- Company: Hive
- What the company does: Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications. Backed by General Catalyst.
- Company website: https://thehive.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Seattle
- Work setup: On-site
- Pay: $120K to $180K base salary per year (USD)
- Posted: 2022-04-21
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/hive/a06ede4e-46e3-40c8-b2e6-69af1658ab50
- Page: https://www.1752.vc/careers/jobs/hive-machine-learning-engineer/

## About the role

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

## What they're looking for

- You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
- You have 1-2 years industry machine learning experience
- You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
- You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
- You know the ins and outs of Python, especially as it applies to the above ML frameworks
- You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files

Tags: Product & Engineering
