Loon · 12 hours ago
Machine Learning Engineer, Climate Finance project
Mountain View, CA
Full-time
Onsite
Senior Level
$165K/yr - $230K/yr
5+ years expLoon is a diverse group of inventors and entrepreneurs focused on creating technologies to tackle significant global challenges. They are seeking a Machine Learning Engineer to design, develop, and deploy advanced multi-modal models aimed at addressing climate change through innovative AI solutions.
Telecom & CommunicationsTravelAerospaceInformation TechnologyInformation ServicesInternetTelecommunications
Responsibilities
Design and build end-to-end machine learning pipelines for training, evaluation, and deployment, while employing MLOps tools to manage the provenance of your data and your overall experimentation process
Develop and fine-tune sophisticated multi-modal neural and generative models using frameworks like PyTorch, libraries from the Hugging Face ecosystem and Foundation Models from the GCP Vertex ecosystem
Develop sophisticated agentic workflows that make inferences about the real world, generate algorithms for various tasks and interact with users to help them achieve their climate mitigation goals
Leverage Google Cloud Platform (GCP) and Vertex services to deploy and scale our ML models and infrastructure
Train and deploy geospatial models for detection of features and time series dynamics of natural phenomena, leveraging scalable geospatial infrastructures and Earth Foundation Models
Collaborate with cross-functional teams of domain scientists and software engineers to translate research ideas into production-ready solutions
Stay current with the latest advancements in machine learning, particularly in multi-modal learning and generative models
Qualification
Required
PhD or Master's degree in Computer Science, Engineering, or a related technical field
At least 5 years of experience designing, building and deploying ML solutions
Proven experience building and training deep learning and generic models
Demonstrated experience with Large Language Models (LLMs), multi-modal models (e.g., Vision Language Models (VLMs)) and Earth Foundation Models
Strong proficiency with Google Cloud Platform (GCP) and the Vertex core services for machine learning and data processing
Excellent programming skills in Python and a solid understanding of software engineering best practices
Hands-on experience with MLOps principles and tools (e.g., Kubeflow, MLflow, Vertex AI Pipelines) and DevOps practices (e.g., CI/CD, Docker, Kubernetes, Terraform)
Experience with large-scale data processing and database management (e.g., PostgreSQL, SQLAlchemy)
Experience in start-up or small team environments
Preferred
A foundational knowledge of climate system processes, the dynamics of ecosystems and/or economics
Published research papers in relevant fields
Benefits
Bonus
Equity
Benefits
Company
Loon
Loon is a network of high altitude balloons used to provide stable internet coverage on the ground. It is a sub-organization of Alphabet.
51-200 employees
H1B Sponsorship
Loon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (9)
2020 (12)
Funding
Current Stage
Growth StageTotal Funding
$125MKey Investors
HAPSMobile
2019-04-25Undisclosed· $125M
Recent News
2025-10-31
Company data provided by crunchbase