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Data Scientists

Burlingame, CA, United States

Experience
6–15 years
Employment
Contract
Work mode
Onsite
Salary
Not disclosed
Deadline
Apply by 1 Nov 2026
Posted
2025-07-18

Required skills

SkillExperienceLevel
Python5+ yearsNot specified
Data Analysis5+ yearsNot specified
Machine Learning5+ yearsExpert
Deep Learning5+ yearsExpert
Data Visualization5+ yearsExpert
Pandas5+ yearsExpert
Computer Vision5+ yearsExpert
AR/VR5+ yearsExpert
Data Processing5+ yearsExpert

About the role

Job Title: Research Scientist IV for ML Foundations

Job ID: 63623-1

Location: Onsite at Burlingame, CA

Client: Meta.

Job description

Assist Input ML Sys team member to improve product (and hand pose and gesture) quality. Works include but are not limited to data collection, manual data annotation, machine learning training and evaluation, experimentation, and analysis

Summary

Contributing to ML hand pose and gesture quality improvements; Data collection and manual annotation; Defining data collection requirements and producing moderator / participants instructions; Data quality review, quality assurance, manual annotations, feedback to participants and moderators; Run machine learning training and evaluation jobs; Experimenting model improvements and failure analysis, visualization; Hands on experiential testing model (gesture) quality and providing feedback/assessment/reports; At-home or in-office data collection and annotation.

Qualifications

5+ years experience in machine learning operations, data analysis and visualization in python, data processing libraries in python (e.g., pandas), python programming skill and comfortable working with complex systems.

Top 3 must-have HARD skills:

Ability to fix data quality issues, manually or semi-automatically.

Statistics / Data Analysis, aggregate, summarize the result and highlight the gaps

Python coding: pandas, visualization libraries

Good to have skills:

Machine Learning / Deep Learning knowledge.

Ability to translate data requirements into descriptions that others can follow. Word, Picture, Videos

Ability to operate existing machine learning flows (data preparation, training, evaluation, failure analyses).

Strong technical written and verbal communication skills.

Familiarity with Linux operating systems and commands.

Self-learning capabilities

Years of experience needed: at least 5

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