ML Ops with Research Background at Jobot
Washington, DC 20001
About the Job
ML Ops with Research Background
This Jobot Job is hosted by: Denis Mikush
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
Ideal candidates will have a
strong background in data science and machine learning, a track record of building
software products from scratch, and extensive experience in modern software
development –– particularly in startup environments. If you’re hungry to establish
yourself as a tech leader and have a passion for applying your skills to solving tough
challenges related to climate change, this is for you.
Why join us?
Our client is a pre-seed stage, Washington, D.C.-based climate resilience SaaS
platform that helps utilities, governments, and corporations plan for greater
resilience to climate change and extreme weather. As the U.S. experiences
record-breaking climate-related impacts, our tool identifies vulnerabilities across our
customers' assets and footprints and empowers planners to prioritize actions that
improve resilience. By ingesting a vast amount of information that characterizes risk
from extreme weather –– including infrastructure, outage, weather, parcel, and
demographic data –– their proprietary machine learning models quantify
climate risks on a geospatial interface of customer assets. Our customers have the
ability to model thousands of scenarios to prioritize projects and activities that
maximize the protection of communities and businesses against climate threats.
Job Details
Experience with software architecture and developing tech products from the
ground up, preferably at early-stage startups
techniques to large, messy, geospatial datasets, and a history of driving
decisions in high stakes environments where careful methodology is essential.
learning from experts in the field, and capable of balancing immediate
deliverables with longer term technology strategy.
community resilience
opportunities
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
This Jobot Job is hosted by: Denis Mikush
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
Ideal candidates will have a
strong background in data science and machine learning, a track record of building
software products from scratch, and extensive experience in modern software
development –– particularly in startup environments. If you’re hungry to establish
yourself as a tech leader and have a passion for applying your skills to solving tough
challenges related to climate change, this is for you.
Why join us?
Our client is a pre-seed stage, Washington, D.C.-based climate resilience SaaS
platform that helps utilities, governments, and corporations plan for greater
resilience to climate change and extreme weather. As the U.S. experiences
record-breaking climate-related impacts, our tool identifies vulnerabilities across our
customers' assets and footprints and empowers planners to prioritize actions that
improve resilience. By ingesting a vast amount of information that characterizes risk
from extreme weather –– including infrastructure, outage, weather, parcel, and
demographic data –– their proprietary machine learning models quantify
climate risks on a geospatial interface of customer assets. Our customers have the
ability to model thousands of scenarios to prioritize projects and activities that
maximize the protection of communities and businesses against climate threats.
Job Details
Experience with software architecture and developing tech products from the
ground up, preferably at early-stage startups
- Expertise in applying data science, machine learning, and statistical modeling
techniques to large, messy, geospatial datasets, and a history of driving
decisions in high stakes environments where careful methodology is essential.
- A product-oriented visionary comfortable scoping solutions with customers,
learning from experts in the field, and capable of balancing immediate
deliverables with longer term technology strategy.
- A passion for fighting climate change and a clear desire to make an impact on
community resilience
- Resilience and grit in the face of adversity, the ability to see challenges as
opportunities
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
Salary
140,000 - 180,000 /year