Software Engineer

Bell Gardens, CA, US • Posted 14 hours ago • Updated 14 hours ago
Contract W2
6 Months
On-site
$75 - $80/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SOFTWARE ENGINEER
  • SOFTWARE ENGINEER II
  • ML ENGINEER
  • MACHINE LEARNING ENGINEER
  • MACHINE LEARNING SOFTWARE ENGINEER
  • APPLIED SCIENTIST
  • ML SOFTWARE ENGINEER
  • MACHINE LEARNING
  • ML
  • CLASSIFICATION MODEL
  • CLASSIFICATION MODELS
  • ML CLASSIFICATION
  • CLASSIFIER
  • PRODUCTION ML
  • ML SYSTEMS
  • ML PIPELINE
  • MACHINE LEARNING PIPELINE
  • PRODUCTION ENVIRONMENT
  • PYTHON
  • JAVA
  • C++
  • GO
  • SOFTWARE ENGINEERING
  • SOFTWARE DEVELOPMENT
  • PRODUCTION-QUALITY SOFTWARE
  • PRODUCTION SOFTWARE
  • SOFTWARE SYSTEMS
  • DATA QUALITY
  • DATASET INTEGRITY
  • DATA VALIDATION
  • DATA QUALITY MONITORING
  • MODEL PERFORMANCE
  • PERFORMANCE REGRESSION
  • MODEL MONITORING
  • MODEL EVALUATION
  • CI/CD
  • JENKINS
  • GITHUB
  • GITLAB
  • CONTINUOUS INTEGRATION
  • CONTINUOUS DEPLOYMENT
  • CODE REVIEW
  • GIT
  • VERSION CONTROL
  • META
  • FACEBOOK
  • INSTAGRAM
  • GOOGLE
  • GOOGLE DEEPMIND
  • APPLE
  • UBER
  • NETFLIX
  • MICROSOFT
  • AMAZON
  • LINKEDIN
  • SNAP
  • TIKTOK

Summary

Payrate: $75.00 - $80.00/hr.
 
Summary:
The candidate will support the "WAIST" (Why Am I Seeing This?) feature across Company’s Platform, focusing on managing and maintaining ML classification models, monitoring data quality, analyzing dataset integrity, and investigating performance regressions.
 
Responsibilities
  • 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 (e.g., 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.
 
Qualifications
  • Experience with developing evaluated machine learning models, particularly classification models.
  • Experience building or supporting ML systems in production environments.
  • 3 years of professional software engineering experience.
  • 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.
  • Experience with common development practices and tools (e.g., version control, code review, CI/CD).
  • Strong problem-solving skills and ability to work effectively in a fast-paced environment.
 
Pay Transparency: The typical base pay for this role across the U.S. is: $75.00 - $80.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 
 
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded.
 
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting  .
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our .
 
#AditiConsulting
# 26 - 06207
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111892
  • Position Id: 26-06207
  • Posted 14 hours ago
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