Project Canary is the leading provider of on-demand climate insights for emission-intensive companies. Our company provides operational insights, emissions data, and Verified Climate Attributes™ to decarbonize energy systems by integrating sensor data with real-time portal and in-depth data analytics. We are the leaders of independently verified climate credentials that support investment, safety, reporting, and disclosure actions.
Initially, we are focused on the energy industry. With thousands of energy assets analyzed and hundreds of environmental and air quality sensors currently deployed, Project Canary is positioned better than anyone to provide empirical emissions data—and we have the ARR and growing pains to prove it.
Founded in 2019, Project Canary, PBC has quickly gained recognition as a category leader in the continuous monitoring space. Through a mission driven approach Project Canary uses dynamic means for cross team collaboration to achieve our very best for our planet and people alike. Here are some highlights from last year:
- Series A of $10M in 2021
- Series B of $111M in 2022
- Certified as a B-Corporation with a score of 107.6 & ranked in the top 5% in 2 categories
- 2022 Best Company to Work For by both the Denver Business Journal and the Denver Post
- Headcount growth by 3X in 2022 and growing
Project Canary’s success is attributed to the motivation, skill, and teamwork of everyone. The team understands the importance of maintaining a culture where relationships are valued, feedback is crucial, and trust in each other and our products/services is paramount. If you enjoy a growth-stage environment, mission-driven work and are eager to collaborate, we want to hear from you.
The Artificial Intelligence (AI) Specialist will work with the Data Engineers and Data Scientists to model abstractions of operational data from IoT devices or from data at REST into a multi-factor language model. The AI Specialist will report to the CTO to work on NextGen spikes of product offerings.
Responsibilities:
- Manage and advise clients in the development of ML and AI to support predictive maintenance.
- Understand raw data to create insights and then heuristics (ML/Data Science) then Generative AI (taking the data to the next level).
- Manage and advise clients in the development of a Digital Twin and the implementation of the DT into simulation and virtual reality environment.
- Develop algorithms and conduct analysis using DBMS (Postgres, RedShift)
Requirements
5+ years of experience with the following:
- Python (PyTorch, TensorFlow)
- Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks
2+ years of experience with the following:
- Technical program support in ML/AI and robotics/IoT
- Deep Learning knowledge (neural networks, etc.)
- Generative Learning models
- C# (Neural Networks)
General and Preferred:
- Excellent communication, presentation, and interpersonal skills with a collaborative team mindset
- Experience with Industrial Systems such as Manufacturing, Product, Energy, Supply Chain or Workflow optimizations.
- Demonstrated experience with Statistical Machine Learning methods such as Bayesian Inference, Clustering, Regression
- Masters/PhD preferred
- Currently in Denver or able to relocate in 4 weeks
- Able to work in the office at least 3 days / week
Benefits
- Salary range: $185,000 - $240,000 annual base
- Hybrid work environment (at least 3 days in office)
- Health, dental, and vision insurance with low deductibles and premiums paid by company 99% for self and 50% for dependents and/or spouse
- 401K with company match (no vesting period)
- Opportunity for equity ownership
- Student loan assistance
- Unlimited PTO (minimum rule of taking at least 3 weeks off in a year)
- Company sponsored wellness days (ski/snowboard days and more)
- 12 weeks of fully paid parental leave (gender neutral) including adoptions
- Flex Choice Monthly Stipend – choice between parking, public transportation, or wellness assistance
- Dog friendly office environment (Denver headquarters only)
