🌎 Location
Remote / Hybrid (Bay Area preferred)
🤔 About Lagom
Lagom is a B2B SaaS startup pioneering the future of climate tech by revolutionizing how companies manage, track, report, forecast, and reduce their environmental impacts. We empower Fortune 500 companies with granular, accurate, and actionable insights into their environmental impacts, focusing on Scope 3 emissions, resource use, and biodiversity.
A core part of our product will involve using machine learning to significantly accelerate life cycle assessment (LCA) and provide real-time data and impact forecasts of individual products and services.
💻 About the Role
We are seeking a Founding Machine Learning Engineer to join our founding team. This role focuses on the development and deployment of machine learning algorithms designed to streamline and speed up life cycle assessment (LCA), specifically enhancing our data collection and predictive modeling capabilities. You will work closely with our environmental science team to identify, build and scale solutions that help companies leverage their data with machine learning.
We are a distributed remote-first team with bases in the Bay Area and Europe.
✅ Responsibilities
- Models: Design, build, and train machine learning models that will speed up environmental calculations and fill data gaps.
- Data: Create a strategy and implement pipelines to collect, process, and clean data for analysis and model training.
- LLMs: Develop solutions to improve UX and optimize data collection and processing.
- Product strategy: Work closely with the CEO, CTO and Chief Scientific Officer to align ML with customer needs and product development.
- Scaling: Build and scale the company together with the founding team.
👀 You Are
- Deeply Technical: Preferably you have a Master's or Ph.D. in Computer Science, Machine Learning, or a related field and a strong grasp of the latest ML technologies and applications.
- Highly Experienced: You bring at least 3 years of experience in machine learning, particularly with Python and frameworks such as TensorFlow or PyTorch. You have experience with NLP and LLMs. Experience in B2B SaaS or climate tech is a plus.
- A Strategic Thinker: You can map out a vision for the future of machine learning in climate tech and align it with business goals.
- Resourceful and Independent: You're comfortable with ambiguity and can handle the complexities of an early-stage startup. You take initiative and own the work you do.
- Passionate About Impact: You have an innate interest in addressing climate change and sustainability issues, making you a perfect fit for our mission-driven culture.