מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Job Summary
As a taxonomy engineer, you will be responsible for developing, maintaining, and optimizing classification systems that support our AI models and data organization efforts. In this role, you will be responsible for reviewing and categorizing incoming data, issues, or tasks and prioritizing these items based on urgency, importance, and relevance. Effective taxonomy engineers will collaborate closely with data scientists, machine learning engineers, and domain experts to align taxonomies with project requirements, and to understand the effectiveness of taxonomies in supporting AI model performance.
Primary Job Responsibilities (what you’ll do)
Evaluate and optimize triaging processes and documentation over time, ensuring the team’s processes are efficient and up-to-date.
Triage pull requests (PRs) and route tasks to appropriate team members or departments; identify trends in incoming data.
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Ensure consistency and accuracy in data labeling and categorization, continuously updating and refining taxonomies as new categories or concepts emerge.
Help maintain data quality by filtering out low-quality or unsuitable inputs; as needed, escalate actions in response to sensitive or inappropriate content.
Create and maintain documentation for taxonomy changes, usage guidelines, and best practices; monitor repository cleanliness and take action to maintain order (e.g., close dated PRs and irrelevant issues).
Maintain documentation regarding triage and taxonomy status, as well as skills and knowledge contribution process enhancements.
Monitor and analyze the effectiveness of taxonomies in supporting AI model performance.
Support public and community engagement through maintenance of community triage communications channels (i.e., slack, community calls).
Support customers in curating and utilizing Red Hat taxonomies; advise customers on establishing - and debugging - custom taxonomies.
Required Skills (what you’ll bring)
Bachelor's degree in computer science or equivalent.
Experience with large-scale data management.
Strong self-motivation and organizational skills.
Ability to think systematically and identify patterns.
Adaptability to evolving technologies and methodologies.
Demonstrates ability to context switch between multiple concurrent projects.
Excellent written and verbal communication skills.
Positive attitude and willingness to share ideas openly.
Ability to maintain strict confidentiality when in contact with confidential or sensitive customer information in accordance with Red Hat policies and applicable privacy laws.
Bonus qualifications
Bachelor's degree in Computer Science, Information Science, or a related field.
Understanding of classification systems, metadata standards, and controlled vocabularies.
Familiarity with Python scripting.
Familiarity with AI and machine learning concepts and their data requirements.
Familiarity with participating in an agile development team.
Experience working within an open source community.
The salary range for this position is $118,840.00 - $196,070.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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