ML Engineer - Search Infra & Foundation Models

MaziCTools

United States

Remoto

USD 167.000 - 296.000

Tempo pieno

7 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Stock options
Medical & dental coverage
Relocation assistance

Descrizione del lavoro

Apple is building a world-class search infrastructure to empower Spotlight, Siri, and Foundation models. This role focuses on scalable, high-performance systems that process petabytes of data and trillions of rows, delivering features from conception to production.

You will work with ambitious teams to solve hard problems and ship reliable software. You will join the AIML Machine Learning Engineer team focused on Platform & Infrastructure.

Competenze

  • Strong coding skills in any programming language.
  • Strong problem solving skills and ability to write performant and high quality clean code.
  • Quick learner who can pickup new technology stacks and deliver features.
  • Experience solving Big Data problems and scalable pipelines.
  • Excellent interpersonal skills; able to work independently as well as in a team.

Mansioni

  • Drive the feature from inception to production launch that will help improve Search, Foundation models, Siri & other Apple products.
  • Work with cross functional teams & stakeholders to solve ambiguous problems.
  • Build software that improves experimentation and helps team make better decisions about what to try next.
  • Drive the team & organizational goals & OKRs.
  • Deliver artifacts, code with high quality.

Conoscenze

Coding skills
Problem solving
Big Data
Learning agility

Strumenti

Kubernetes

Descrizione del lavoro

Apple is building a world-class search infrastructure to empower Spotlight, Siri, and Foundation models. This role focuses on scalable, high-performance systems that process petabytes of data and trillions of rows, delivering features from conception to production.

You will work with ambitious teams to solve hard problems and ship reliable software. You will join the AIML Machine Learning Engineer team focused on Platform & Infrastructure.

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