Full-Time

Machine Learning Engineer

Updated on 4/19/2024

The Allen Institute for AI

The Allen Institute for AI

201-500 employees

Develops AI technologies for common good

AI & Machine Learning
Education

Compensation Overview

$153,040 - $235,680Annually

+ Annual bonuses + Long-term incentive plan participation

Junior, Mid, Senior

Seattle, WA, USA

Required Skills
Microsoft Azure
Python
Docker
AWS
Natural Language Processing (NLP)
Google Cloud Platform
Requirements
  • Minimum of a Bachelor's degree in CS, EE/Applied Mathematics/Statistics/ML/NLP, or relevant engineering experience
  • Experience with statistics and time series analysis
  • Expertise in Python
  • Familiarity working with cloud services (GCP, AWS, or Azure)
  • Experience with containerization (Docker)
  • Experience with the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling and optimization, and monitoring.
Responsibilities
  • Expertise in both NLP (including LLMs) and CV
  • Ability to read, write, debug, and optimize ML/AI code
  • Ability to read and apply current research in AI
  • Deep understanding of the entire ML software development life cycle and how to advance it
  • Strong collaboration and teamwork skills

The Allen Institute for AI

The Allen Institute for AI

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The Allen Institute for AI develops AI technologies for the common good, including natural language processing, computer vision, and AI for the environment, with projects such as Semantic Scholar, Aristo, Mosaic, EarthRanger, Skylight, and climate modeling.

Company Stage

N/A

Total Funding

N/A

Headquarters

Vashon, Washington

Founded

2014

Growth & Insights
Headcount

6 month growth

-10%

1 year growth

9%

2 year growth

17%

Benefits

Medical

401(k)

Visa Sponsorship

Time off

Catered meals & free snacks

Training & development

Tuition reimbursement

Remote & hybrid work options