Applied AI Staff Engineer — Build Real-World AI Solutions

Reka AI, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

5 weeks paid leave

Health, vision and dental benefits

Visa support

Job summary

Reka AI, Inc. is seeking a Member of Technical Staff to productionize frontier AI models and solve complex real-world problems. You will collaborate with researchers and teammates on the latest AI and ML advances, and work closely with customers to integrate models into their technology stacks.

You will own critical components end-to-end, helping shape a fast-growing team. This role suits someone with hands-on ML experience, a customer focus, and the drive to build in a mission-driven startup.

Qualifications

• Experience as a machine learning engineer working on AI products for external customers.
• Background as a technical founder or in a similar capacity.
• Hands-on with transformer models and LLMs.
• Proven track record owning problems end-to-end.
• Strong ability to communicate with cross-functional teams.

Responsibilities

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

Skills

Customer focus

ML engineer experience

Technical founder background

Transformers/LLMs

Cross-functional communication

End-to-end ownership

Collaborative work style

Job description

Reka AI, Inc. is seeking a Member of Technical Staff to productionize frontier AI models and solve complex real-world problems. You will collaborate with researchers and teammates on the latest AI and ML advances, and work closely with customers to integrate models into their technology stacks.

You will own critical components end-to-end, helping shape a fast-growing team. This role suits someone with hands-on ML experience, a customer focus, and the drive to build in a mission-driven startup.