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Member of Technical Staff (Applied AI)

AI / ML Engineer • Principal • Remote • Full-time United States USA

As a Member of Technical Staff on Applied AI, productionize frontier AI models to solve complex real-world problems, working closely with researchers and customers.

Stack

Responsibilities

  • Productionize frontier AI models to solve complex real-world problems
  • Collaborate closely with researchers and teammates on the latest advancements in AI and ML
  • Work closely with customers to integrate models into their technology stack
  • Make direct business impact with a high level of product ownership
  • Be a founding member of a fast-growing team and wear many hats

Requirements

  • Obsession with customers and passion for solving practical, sometimes ambiguous real-world problems
  • Experience as a machine learning engineer, ideally on AI products for external customers
  • Background as a technical founder or in a similar capacity
  • Practical experience working with transformer models and LLMs
  • Exceptional ability to communicate and work with cross-functional teams
  • Track record of owning problems end-to-end and learning fast
  • Kind and collaborative nature and work style

Soft skills

Kind and collaborative attitudeFast learner in ambiguous environmentsStrong communication across cross-functional teams

What we offer

  • Elite team: collaborate with alumni from Google DeepMind and Facebook AI Research (FAIR)
  • Massive market opportunity in a rapidly growing industry
  • Mission-driven, collaborative environment
  • Inclusive and open culture
  • 5 weeks of paid leave
  • Comprehensive healthcare including vision and dental
  • Visa support (H1B, OPT transfer) for US employees

About the company

Reka's mission is to build useful multimodal artificial intelligence to empower organizations and businesses. A globally distributed, remote-first foundation model startup headquartered in the San Francisco Bay Area, its team includes talent from around the world, including alumni of Google DeepMind and Facebook AI Research (FAIR).

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