Application Guide
How to Apply for Machine Learning Engineer
at Carbon Re
🏢 About Carbon Re
Carbon Re is at the forefront of climate tech, using AI to reduce carbon emissions in hard-to-abate sectors like cement and steel. Their focus on gigatonne-scale impact makes them a unique and mission-driven workplace for engineers passionate about climate change.
About This Role
As an ML Engineer at Carbon Re, you'll build and deploy models that directly cut CO2 emissions, working closely with product teams to deliver customer projects. Your work will drive technical innovation in the ML lifecycle, from research to production, in a fast-paced, impactful environment.
💡 A Day in the Life
You'll start with a stand-up with your ML team and product managers, then dive into coding a new model for real-time kiln optimization. After lunch, you might analyze sensor data from a steel plant with a domain scientist, and end the day reviewing a pull request for a deployment pipeline. Remote collaboration is key, with async communication across time zones.
🚀 Application Tools
🎯 Who Carbon Re Is Looking For
- 2+ years of ML engineering experience, with strong Python skills and proficiency in scikit-learn and PyTorch.
- Experience working in scientific, cross-disciplinary teams (e.g., physics, chemistry, materials science, engineering) and translating domain knowledge into ML solutions.
- A genuine passion for climate change mitigation and a desire to apply ML to solve real-world environmental problems.
- Ability to work independently as an individual contributor while collaborating effectively with product and domain experts.
📝 Tips for Applying to Carbon Re
Highlight any experience with industrial process optimization, manufacturing, or materials science in your resume and cover letter.
Showcase specific ML projects that had measurable impact, especially those related to energy, emissions, or physical systems.
Demonstrate your ability to work across the ML lifecycle (data collection, modeling, deployment, monitoring) with concrete examples.
Emphasize your comfort with remote work and cross-time-zone collaboration; mention any tools or practices you use.
Tailor your cover letter to explicitly connect your skills to reducing emissions in cement/steel, showing you've researched the industry.
✉️ What to Emphasize in Your Cover Letter
["Your motivation for working on climate change and why Carbon Re's mission resonates with you.", 'Specific examples of ML projects in scientific or industrial settings, especially if they involved physical processes or optimization.', 'Your ability to contribute as an individual contributor while collaborating with cross-functional teams.', 'Any knowledge of cement or steel production processes, or a willingness to learn them quickly.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Read Carbon Re's case studies or blog posts about their AI solutions for cement and steel.
- → Understand the basics of cement and steel manufacturing processes, especially where energy and emissions are generated.
- → Look into the concept of 'gigatonne-scale' impact and how Carbon Re measures its contribution.
- → Familiarize yourself with their team culture and any published research or patents.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Submitting a generic application without mentioning climate change or Carbon Re's specific mission.
- Overemphasizing deep learning or NLP without relevance to industrial or physical systems.
- Failing to demonstrate how you work with non-ML experts (e.g., scientists, product managers) in a collaborative setting.
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!