Loon · 1 month ago
Machine Learning Engineer, AI Early Stage Project
Loon is a part of Alphabet’s moonshot factory focused on inventing and launching transformative technologies. They are seeking a Machine Learning Engineer to develop cognitive engines for an industrial multi-modal sensemaking platform, addressing significant challenges in material transformation and waste reduction.
AerospaceInformation ServicesInternetTelecommunicationsTravel
Responsibilities
Pioneer Dynamic Knowledge Graph Systems: You will design and implement state-of-the-art systems that extract structured semantic meaning from complex real world environments. You will solve the critical challenge of reconciling disparate data modalities, e.g., physical asset detection, sensor data, quality reporting, leveraging these inputs to build and refine models which simulate physical systems
Develop Agentic Reasoning Architectures: You will engineer sophisticated Agentic RAG frameworks where Large Language Models reason over graph structures to perform multi-step logical deduction. This will enable the system to formulate and solve complex optimization problems
Solve High-Noise Data Challenges: You will tackle the engineering complexity of creating gold standard digital models from noisy real-world data. You will design resilient data pipelines that handle ambiguity and disparate formats at scale, ensuring reliability across documents, images, and telemetry
Accelerate Research-to-Production: You will bridge the gap between experimental ML research, partner-oriented sprints to demonstrate value, and scalable production systems, driving the technical roadmap from initial prototype to deployed pilot
Qualification
Required
Bachelor's degree in Computer Science, AI, Engineering, or equivalent practical experience
3+ years of experience in software engineering and applied machine learning (Python, PyTorch, or JAX)
Experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) in applied settings, including prompt engineering or fine-tuning or RAG
Strong understanding of Graph data structures, Knowledge Graphs (e.g., Neo4j, NetworkX), or Graph Neural Networks (GNNs), including the handling of unstructured and/or messy real-world data such as documents, images, videos, scanned diagrams, and sensor feeds
Experience implementing LLM-driven code generation pipelines, specifically utilizing function calling or tool-use patterns where agents generate and execute code (e.g., Python, SQL, or Cypher) to interact with external environments or data stores
Preferred
Experience with Agentic workflows (e.g., LangChain, AutoGen) where models perform multi-step reasoning
Experience with MLOps best practices, including model deployment, monitoring, and designing pipelines that allow distinct components to interoperate seamlessly
Background in Computer Vision and VLMs, specifically object detection or segmentation on technical imagery or diagrams
Familiarity with Reinforcement Learning (RL) concepts, particularly as applied to LLM post-training or optimization problems
Demonstrated ability to build self-correcting agentic loops where models iteratively write, execute, and debug code (e.g., 'Code Interpreter' patterns), particularly for generating simulation logic or automating data analysis in scientific/engineering contexts
Interest in industrial automation, physics-based simulation, or AI for Science applications
A '0 to 1' mindset with the ability to thrive in ambiguity and define technical roadmaps
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.
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