Research Engineer & Scientist — Large-Scale ML & Safe AI

anthropic

Seattle, San Francisco, New York (WA, CA, NY)

In loco

USD 350.000 - 500.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Competitive compensation
Generous vacation and parental leave
Flexible working hours

Descrizione del lavoro

A leading AI research company in Seattle seeks an experienced Research Engineer to build reliable large-scale machine learning systems. You will touch all aspects of the code and infrastructure, improve efficiency, and run scientific experiments. Candidates with strong software engineering skills and an interest in machine learning are encouraged to apply. This position offers competitive compensation ranging from $350,000 to $500,000 annually, along with flexible working options and a collaborative environment.

Competenze

  • Proven significant software engineering experience.
  • Results-oriented mindset with flexibility for change.
  • Interest in machine learning research and societal impact.

Mansioni

  • Building and maintaining scalable ML systems.
  • Improving reliability and efficiency of platforms.
  • Conducting and designing scientific experiments.

Conoscenze

Software engineering experience
Results-oriented
Flexibility and impact
Pair programming
Machine learning research
Societal impacts awareness

Formazione

Bachelor's degree in a related field

Strumenti

GPUs
Kubernetes
Pytorch

Descrizione del lavoro

A leading AI research company in Seattle seeks an experienced Research Engineer to build reliable large-scale machine learning systems. You will touch all aspects of the code and infrastructure, improve efficiency, and run scientific experiments. Candidates with strong software engineering skills and an interest in machine learning are encouraged to apply. This position offers competitive compensation ranging from $350,000 to $500,000 annually, along with flexible working options and a collaborative environment.
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