Job Description

What You’ll Be Doing:

• Address longtail issues in machine learning models using data-driven methods.
• Collaborate with machine learning engineers to evaluate model performance.
• Lead the development of internal tools for managing data lifecycles and ensuring label quality.

What We Need to See:

• Proficiency in Python and SQL.
• Fundamental understanding of deep neural networks and model performance measurement.
• Excellent communication skills and a collaborative, team-oriented approach.
• Master degree or above in related disciplines or equivalent 3+ years working experience in the industry (or equivalent experience).

Ways to Stand Out:

• Industrial experience in autonomous driving
• Communication – we expect your impacts to be shown across different teams.
• Obsessed with details – in data and labels, every detail matters.
• Documentations – we expect you to work on multiple projects so organizing and documenting are a desired skill.

Embrace this outstanding opportunity to be part of Insight Global ambitious journey and help craft the future of autonomous driving through outstanding data engineering.

Compensation:

$45hr to $63/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of

employment, including options for medical, dental, and vision insurance. Eligibility to enroll in

the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this

role will have access to paid sick leave and other paid time off benefits as required under the

• applicable law of the worksite location.

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