Applied AI: Senior ML Engineer (Remote; Visa Support)

Fdetimes; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

5 weeks paid leave

Healthcare benefits (vision and dental

Visa assistance (H1B/OPT)

Job summary

Reka seeks a Member of Technical Staff on Applied AI to productionize frontier AI models and collaborate with researchers and customers. You will own product outcomes and contribute across a growing team, influencing real-world AI deployments from a distributed, remote-first setup.

The role emphasizes end-to-end ownership, customer-focused problem solving, and hands-on work with transformer models and LLMs within a globally distributed team.

Qualifications

• Customer obsession and passion for solving practical real-world problems.
• Experience as a machine learning engineer, ideally building AI products for external customers.
• Background as a technical founder or in a similar capacity.
• Practical experience with transformer models and LLMs.
• Excellent communication and collaboration with cross-functional teams.
• Track record of owning problems end-to-end and fast learning.
• Kind and collaborative work style.

Responsibilities

• Productionize frontier AI models to solve complex real-world problems.
• Collaborate with researchers and teammates on AI/ML advancements.
• Work with customers to integrate models into their tech stacks.
• 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 engineering

Transformer models

Cross-functional communication

Problem ownership

Tools

LLMs

Job description

Reka seeks a Member of Technical Staff on Applied AI to productionize frontier AI models and collaborate with researchers and customers. You will own product outcomes and contribute across a growing team, influencing real-world AI deployments from a distributed, remote-first setup.

The role emphasizes end-to-end ownership, customer-focused problem solving, and hands-on work with transformer models and LLMs within a globally distributed team.