Pre-Training Data ML Engineer — Remote

Jaide Health; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up

6 weeks of vacation

Job summary

Jaide Health is seeking a Machine Learning Engineer specializing in pretraining data to enhance AI performance. This role involves creating data pipelines and conducting experiments on data quality. Candidates should have strong Python skills and experience with data processing frameworks. The position is remote-friendly with perks including health benefits and a supportive culture, valued at a diverse range of perspectives. Join the team shaping the future of AI technology.

Qualifications

• Proficiency in Python and experience building data pipelines.
• Familiarity with curriculum learning and data mixing.
• Understanding of data quality assessment techniques.

Responsibilities

• Conduct data ablations to assess data quality.
• Develop robust data modeling techniques for training efficiency.
• Collaborate with teams to ensure data pipelines meet model demands.

Skills

Strong software engineering skills with Python

Familiarity with data processing frameworks

Experience with large-scale datasets

Knowledge of data quality assessment techniques

Passion for bridging research and engineering

Tools

Apache Spark

Pandas

Job description

Jaide Health is seeking a Machine Learning Engineer specializing in pretraining data to enhance AI performance. This role involves creating data pipelines and conducting experiments on data quality. Candidates should have strong Python skills and experience with data processing frameworks. The position is remote-friendly with perks including health benefits and a supportive culture, valued at a diverse range of perspectives. Join the team shaping the future of AI technology.