Applied AI Engineer at Arcade - ScoutJobs - The AI-curated global job board
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Posted 8 hours ago

Applied AI Engineer

ArcadeApplied AI Engineer

Perks & benefits

TransportationCommissionHealth InsurancePaid LeaveRelocation Allowance

Requirements

Degree in CS, Math, or AI/ML, Proficiency in Python, Experience with PyTorch or TensorFlow, Knowledge of diffusion models and LLMs, Experience with cloud deployment

Skills

PythonPyTorchLLM

About the role

About the Company

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’ve raised $42M from a world-class group of investors.

Responsibilities

  • Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models and LLMs
  • 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
  • Design and deploy text-to-image models and LLM-based applications
  • Maintain and monitor deployed models in cloud-based production environments
  • Stay current with developments in generative AI and apply new developments to enhance pipeline performance
  • Communicate technical concepts clearly across technical and non-technical audiences

Requirements

  • 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 or TensorFlow
  • Strong fundamentals in machine learning concepts and algorithms
  • Familiarity with training, fine-tuning, and evaluating models
  • 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

Benefits

  • Competitive compensation
  • Lunch provided daily
  • Company events
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Applied AI Engineer

Arcade · Presidio

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