DL Researcher

Eqvilentjobs

United States

Remote

USD 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Remote work worldwide
Access to global offices
Flexible schedule
40 paid days off
Competitive salary

Job summary

Eqvilentjobs is seeking a highly capable ML researcher/engineer to develop deep learning solutions and scalable pipelines in a globally remote team. The role focuses on building robust models and reproducible workflows.

You will run experiments to validate hypotheses, compare model performance, and contribute to fast iteration on innovative projects. The position offers flexible scheduling and access to world-class opportunities.

Qualifications

  • Proficient in at least one deep learning domain (CV, NLP, time series, or audio)
  • Experience building scalable, reproducible ML pipelines
  • Experience running experiments to validate hypotheses

Responsibilities

  • Develop deep learning solutions with state-of-the-art accuracy, speed and scalability
  • Build scalable and reproducible ML pipelines
  • Run experiments to enable rapid iteration and validate hypotheses

Skills

Deep learning domain
ML pipeline scalability
Experimentation & validation

Job description

Responsibilities
  • Develop deep learning solutions with state-of-the-art accuracy, speed and scalability
  • Build scalable and reproducible ML pipelines
  • Run experiments to enable rapid iteration and validate hypotheses
Requirements
  • Proficient knowledge in one deep learning domain (CV, NLP, time series, audio)
  • Experience developing scalable and reproducible ML pipelines
  • Competency in conducting experiments and validating hypotheses
Preferred Qualifications
  • Top ranks in competitions such as Kaggle, TopCoder or DrivenData
  • Experience with time series tasks
Benefits
  • Work remotely from anywhere in the world
  • Access to global offices
  • Flexible schedule
  • 40 paid days off
  • Competitive salary
About the Company
  • Welcoming group of highly qualified international professionals working on cutting-edge hardware and technology.
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