Machine Learning Engineer

Diverse Lynx, LLC; Dallas (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

Diverse Lynx LLC seeks a Machine Learning Engineer in Dallas, TX to design, train and deploy computer vision and perception models. This onsite role also offers remote work options and targets candidates with 6–10 years of experience.

You will build data pipelines for sensor datasets (camera and LiDAR), annotate and validate data, and collaborate with data engineering and AI teams to deliver robust ML workflows and measurable improvements.

Qualifications

• Experience training, fine-tuning, and deploying machine learning models.
• Experience generating and managing camera and LiDAR sensor datasets for perception or ML applications.
• Experience designing data collection pipelines and ground truth generation workflows.
• Experience data annotation and QA for autonomous systems or CV projects.
• Ability to define annotation guidelines, identify labeling defects, and improve dataset accuracy.
• Strong Python skills and automating data validation, model evaluation, and ML workflows.
• Understanding of CV datasets, model metrics, experiment tracking, version control, and deployment practices.

Responsibilities

• Build automation for sensor-data ingestion, curation, sampling, annotation preparation, validation, and release.
• Train, fine-tune, evaluate, and support deployment of ML models for CV/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; 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.

Skills

ML model training

Python scripting

Computer vision

Data annotation

Data pipelines

Tools

Python

TensorFlow

PyTorch

Job 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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