Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

Planet Reimagined is an incubator for creative solutions that is rooted in research and works on climate solutions. It is building machine learning systems for hyper-local policy analysis and recommendations on climate and energy policy at local and federal scales, and it hires a machine learning engineer and data scientist. The organisation is based in the United States.

Tech stack

Technologies named in job postings at Planet Reimagined over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
1
Stack modernity
74/100AI adopter
Languages
Python
SQL
Frameworks & libraries
NumPy
Pandas
Databases
BigQuery
Firestore
Google BigQuery
Pinecone
Cloud & platforms
AWS
Azure
GCP
Google Cloud Run
Vertex AI
Developer tools
Rest API
dbt
AI & ML
LLM
Practices & domains
CI/CD
Context Engineering
Data Augmentation
Human-in-the-Loop
Knowledge Graph
Machine Learning
NLP
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Salary insights

Compensation ranges based on this company's open jobs
Median
$150k
Typical range
$150k
Open positions
1
1 Jobs
Middle 100%
Level Jobs Median Typical range
Middle 1 $150k $150k
Highest paying role Machine Learning Engineer / Data Scientist - Climate and Energy Policy - Planet Reimagined $150k
Normalized to USD per year

Growth

Hiring Momentum
28/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
ATS activity
Every ~5 hours
Today
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
100% ▲

Jobs

$120k – $150k per year • Remote (location not specified) • 3+ years exp
Python
SQL
Firestore
Pinecone
Google BigQuery
BigQuery
AI/ML
Vertex AI
dbt
NLP
Pandas
NumPy
LLM
Data Augmentation
Human-in-the-Loop
Context Engineering
Knowledge Graph
Machine Learning
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Google Cloud Run
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