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X, The Moonshot Factory · 4 hours ago

Machine Learning Engineer, AI for Chemistry project

Mountain View, CA

Full-time

Onsite

Senior Level

$165K/yr - $258K/yr

5+ years exp

X, The Moonshot Factory is a diverse group of inventors and entrepreneurs focused on building technologies that create significant impact on global challenges. They are seeking a Machine Learning Engineer to design, develop, and deploy advanced multi-modal models, bridging AI research with real-world applications in the field of chemistry.

AerospaceAugmented RealityAutomotiveRobotics

Responsibilities

Design and build end-to-end machine learning pipelines for training, evaluation, and deployment

Develop and fine-tune sophisticated multi-modal models using frameworks like PyTorch and libraries from the Hugging Face ecosystem

Leverage Google Cloud Platform (GCP) services to deploy and scale our ML models and infrastructure

Collaborate with cross-functional teams of scientists and 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

Machine LearningPyTorchGoogle Cloud PlatformDeep LearningMLOpsPythonLarge Language ModelsAgilityCollaborationProblem-solving

Required

Bachelor's 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 models using PyTorch and the Hugging Face library

Demonstrated experience with Large Language Models (LLMs), multi-modal models (e.g., Vision Language Models (VLMs)) and computer vision models (eg. OCR)

Strong proficiency with Google Cloud Platform (GCP) and its 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