About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

• Deliver well-scoped software enhancements and features aligned to project goals and timelines.
• Write clean, maintainable, and well-tested code following established engineering standards.
• Participate in code reviews and incorporate feedback to improve quality and reliability.
• Troubleshoot, debug, and resolve issues across the development lifecycle.
• Collaborate with cross-functional teams (product, design, data, security) to support execution of defined deliverables.
• Create and maintain technical documentation for implemented solutions.
• Contribute to operational excellence, including monitoring, incident response support, and performance improvements as needed.
• Support the "WAIST" (Why Am I Seeing This?) feature by managing and maintaining ML classification models, monitoring data quality, analyzing dataset integrity, and investigating model performance regressions.

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Qualifications

• 3+ years of professional software engineering experience.
• Experience developing and evaluating machine learning models, especially classification models.
• Experience building or supporting ML systems in production environments.
• Proficiency in one or more general-purpose programming languages (e.g., Python, Java, C++, Go, or similar).
• Experience building, testing, and maintaining production-quality software.
• Familiarity with common development practices and tools (version control, code review, CI/CD).
• Strong problem-solving skills and ability to work effectively in a fast-paced environment.
• Bachelor’s degree in Computer Science or a related field preferred (or equivalent experience).

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Location & Employment Type

• Employment type: Contract (CONTRACTOR).
• Location: Bell, CA (role is tied to the Bell, CA job location).
• Candidates must be authorized to work in the United States for this role.

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Compensation & Benefits

• Payrate: $75.00 - $80.00 per hour (typical base pay). Overtime and eligibility vary by role classification and local law; where applicable, non-exempt roles are eligible for overtime at required rates.
• Final offer amounts are determined by relevant skills, education, and experience.
• Benefits (if applicable and depending on classification) may include medical, dental, vision, HSA options, paid time off, bereavement, 401(k) with match, life and disability insurance, commuter benefits, dependent care FSA, and other voluntary plans.

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About the Project

• You will join a team responsible for maintaining and improving ML-driven classification and ranking features used across the platform.
• Work includes investigating data quality issues, detecting and diagnosing model regressions, and implementing software fixes and process improvements to keep ML systems healthy in production.

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Screening & Communications

• Careertakes and the client may use automated and/or AI-assisted tools to help screen applications or gather initial information. These tools assist reviewers but do not replace human decision-making in hiring decisions.
• By applying, you may receive communications (email, SMS, voice) related to this opportunity. Message frequency and formats vary; standard message and data rates may apply.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.