Arcade| Senior AI Research Engineer

San Francisco

Heretic

Heretic is a San Francisco-based venture studio that builds, incubates and funds culture-defining companies.

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About Arcade:
Arcade is the world’s first AI product marketplace, enabling anyone to design, purchase, and sell custom, manufacturable products with a simple text prompt.
Co-founded by Mariam Naficy, Arcade brings together the power of generative AI with a global network of top artisans to turn user ideas into personalized, physical products. Arcade aims to redefine commerce by offering unprecedented personal choice, expression, and meaning in product creation.
Arcade is incubated by Heretic Ventures and is backed by investors such as Offline Ventures, Sound Ventures, and Reid Hoffman
This is a unique opportunity to contribute to a breakthrough company from the ground up while learning from successful repeat entrepreneurs and a stable of powerful and experienced mentors and advisors. 
Overview of Role: Arcade is seeking a highly skilled and innovative AI Research Engineer who will be creating and launching generative AI systems that solve difficult and novel tasks. This person will drive the development of cutting-edge artificial intelligence solutions.
The ideal candidate is a researcher with previous experience taking a project from potential concepts to a deployable model, specializing in models that create images from multiple viewpoints, 3D meshes, or CAD-like structures. They will be a strong developer, capable of making and explaining a reusable pipeline for training and running models. 

Key Responsibilites:

  • Create and evaluate novel models for 3D applications
  • Understand, implement, and improve existing models 
  • Maintain deterministic, repeatable and automatable training scripts 
  • Work with teams to deploy new models for inference 
  • Collaborate with cross-functional teams to create the right AI systems in order to meet product & business requirements 
  • Stay up-to-date with the latest advancements in AI technologies and research, and apply them to enhance the performance and capabilities of our ventures
  • Communicate complex AI concepts and solutions effectively to both technical and non-technical stakeholders.

Qualifications:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Research experience in generative AI, with a proven ability to take projects from concept to deployment.
  • Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and proficiency in Python.
  • Experience developing scalable, reusable pipelines for training, validating, and deploying AI models.
  • Familiarity with large-scale data handling and the ability to efficiently use data for training AI models.
  • Proven ability to work in a fast-paced startup environment, collaborating with multidisciplinary teams.
  • Strong communication skills, with the ability to explain AI concepts to technical and non-technical stakeholders alike.

Preferred Qualifications:

  • Experience working with generative AI models that solve eCommerce-specific challenges such as recommendation systems, dynamic pricing, or personalized search.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and experience with deploying AI models in cloud environments.

Benefits:

  • Competitive salary, equity options, and comprehensive benefits package.
  • Opportunity to work on high-impact AI research projects that shape the future of eCommerce.
  • Hybrid work environment (4 days onsite at our sunny Presidio, SF office, 1 day remote).

Arcade is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure CAD Computer Science E-commerce GCP Generative AI Machine Learning Pipelines Python PyTorch Research Scikit-learn TensorFlow

Perks/benefits: Career development Competitive pay Equity / stock options Startup environment

Region: North America
Country: United States

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