Principal ML Engineer: Research-to-Production Leader

Hidden Jobs; United States; Remote; USD 175,000 - 250,000; Full time

Benefits offered by this job

Equity (stock options)

Health and wellness benefits

401k employer match

Flexible PTO

Twice-yearly travel to LA HQ

Job summary

Hidden Jobs is seeking a principal-level ML Engineer to bridge hands-on MLOps execution with research-oriented thinking, spanning infrastructure setup to publication-grade experimentation. The role carries real latitude to shape a long‑term vision for search and discovery, particularly as large language models reshape what is feasible to build internally.

The successful candidate will translate model results into clear business and revenue impact while influencing architecture and statistical

Qualifications

• 8+ years of machine learning engineering with both MLOps and research experience.
• Ability to translate research into production and business impact.
• Experience building and operating ML infrastructure and pipelines.
• Understanding of search and discovery systems and large language models.

Responsibilities

• Build new ML systems from the ground up, close data gaps, and maintain and improve the existing ML pipeline.
• Read and implement ML papers on alternative model architectures, then run training experiments to benchmark results against current production models.
• Stand up and manage supporting infrastructure, such as Redis clusters, to handle ML workloads.
• Weigh in on and help drive architecture decisions and statistical methodology alongside the broader engineering team.
• Help define the long‑term search and discovery vision, informed by how large language models have shifted what is possible to build.
• Present model results and roadmap, including business and revenue impact, to broad or executive audiences.

Skills

MLOps

Applied ML research

Infrastructure management

Experimentation & benchmarking

Cross-functional collaboration

Technical presentation

Tools

Redis

Docker

Kubernetes

Job description

Hidden Jobs is seeking a principal-level ML Engineer to bridge hands-on MLOps execution with research-oriented thinking, spanning infrastructure setup to publication-grade experimentation. The role carries real latitude to shape a long‑term vision for search and discovery, particularly as large language models reshape what is feasible to build internally.

The successful candidate will translate model results into clear business and revenue impact while influencing architecture and statistical