Applied AI Engineer

arcade-ai; Tracy (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Lunch provided daily

Company events

Job summary

Arcade-ai in Tracy, California, is seeking an Applied AI Engineer to enhance their generative AI capabilities. Responsibilities include training and fine-tuning models, collaborating with cross-functional teams, and developing production-ready AI systems.

The ideal candidate should hold a Bachelor's or Master's degree in Computer Science or related fields, possess strong skills in Python and machine learning, and be familiar with tools like PyTorch and TensorFlow. The role offers competitive compensation and a collaborative work environment.

Qualifications

• Strong proficiency in Python and familiarity with Linux environments.
• Deep understanding of machine learning concepts and algorithms.
• Familiarity with training and evaluating models with large datasets.

Responsibilities

• Collaborate with teams to train and fine-tune machine learning models.
• Develop tools and pipelines for production-ready AI systems.
• Deploy and maintain AI models in cloud environments.

Skills

Python

Machine Learning

Data Analysis

Communication

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, AI/ML, or related field

Tools

PyTorch

TensorFlow

Linux

Job description

About Arcade

Arcade is building the world’s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we’re building the infrastructure to make that real.

Overview of Role

We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands‑on model development with integration of cutting‑edge AI techniques into production systems. You’ll contribute to research, model experimentation, and implementation working closely with cross‑functional teams to bring AI‑driven products to life.

Responsibilities

• Collaborate with engineering and product teams to train and fine‑tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
• Develop tools and pipelines that support scalable, efficient, and production‑ready AI systems
• Collect, clean, and analyze large‑scale datasets to improve model performance and reliability
• Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
• Design and deploy text‑to‑image models and LLM‑based applications, including advanced prompt engineering, fine‑tuning, and multi‑component workflows
• Maintain and monitor deployed models in cloud‑based production environments
• Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
• Communicate technical concepts clearly across technical and non‑technical audiences

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, AI/ML, or a related field
• Strong proficiency in Python and familiarity with Linux environments; hands‑on experience with machine learning libraries like PyTorch, TensorFlow, etc.
• Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics (“under the hood”)
• Familiarity with training, fine‑tuning, and evaluating models, especially with large‑scale datasets
• Familiarity with data preprocessing, cleaning, and feature engineering
• Awareness of recent developments in generative AI, diffusion models, and LLMs
• Familiarity with cloud platforms and deploying AI models in cloud‑based environments
• Excellent problem‑solving and analytical thinking skills with close attention to detail
• Excellent communication and collaboration skills in a fast‑paced and collaborative environment

Additional

• Competitive compensation
• Lunch provided daily
• Company events

Arcade is an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.