Machine Learning Engineer

Diverse Lynx, LLC

  • Dallas, TX
  • 9 days ago
  • $100,000–$140,000 Per Year

Highlights

Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC. Strong technical ownership, analytical problem solving, collaborative delivery, and clear communication.

Numbers & Facts

LocationDallas, TX
Salary$100,000–$140,000 Per Year

Description

Role: Machine Learning Engineer

Location: Dallas, TX // Onsite // Remote

Experience: 6 - 10 Years

Salary Range: $100,000 - $140,000 per year

Job Description

Must Have Technical/Functional Skills

  • Demonstrated experience training, fine-tuning, and deploying machine learning models.
  • Demonstrated experience generating and managing camera and LiDAR sensor datasets for

perception or machine learning applications.

  • Experience designing data collection pipelines and ground truth generation workflows.
  • Demonstrated experience in data annotation and quality assurance for autonomous systems or

computer vision projects.

  • Demonstrated ability to define annotation guidelines, identify labeling defects, and deliver measurable

improvements in dataset accuracy.

  • Strong Python skills and experience automating data validation, model evaluation, and machine

learning workflows.

  • Understanding of computer vision datasets, model metrics, experiment tracking, version control, and

deployment practices.

Roles & Responsibilities

  • Build automation for sensor-data ingestion, curation, sampling, annotation preparation, validation, and

release.

  • Train, fine-tune, evaluate, and support deployment of machine learning models for computer vision or

perception use cases.

  • Design camera and LiDAR data collection and ground truth generation pipelines.
  • Define annotation guidelines, acceptance criteria, and automated checks for label completeness,

consistency, and accuracy.

  • Analyze labeling defects and model-error patterns, then implement corrective actions and measurable

quality improvements.

  • Create reporting for dataset health, annotation quality, model performance, and workflow throughput.
  • Collaborate with data engineering, annotation operations, quality, and AI teams.

Generic Managerial Skills, If Any

Strong technical ownership, analytical problem solving, collaborative delivery, and clear communication

with cross-functional teams

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Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC.

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