Machine Learning Engineer

Job overview

The Machine Learning Engineer role is listed as hybrid in Dallas, TX, with the description also mentioning onsite and remote arrangements. Compensation is $100,000–$140,000 per year. The role collaborates with data engineering, annotation operations, quality, and AI teams. The engineer builds and improves machine-learning workflows for computer vision and perception applications. The work spans sensor-data pipelines, dataset annotation and quality controls, model training and evaluation, and reporting that helps teams improve data quality and model performance.

What you'll do

• 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
• design camera and LiDAR data collection and ground-truth workflows
• define annotation guidelines and quality checks
• analyze labeling defects and model-error patterns
• report on dataset health, annotation quality, model performance, and workflow throughput
• collaborate with data engineering, annotation operations, quality, and AI teams.

What we're looking for

Skills & competencies

machine learning engineer

hybrid

dallas tx

diverse lynx

computer vision

perception

python

camera data

lidar

data pipelines

model evaluation

$100k–$140k/year

Work arrangement

• Weekend coverage required

Why this role

Work includes camera and LiDAR sensor datasets, autonomous systems or computer-vision annotation quality, and model training, evaluation, and deployment.

About the employer

Diverse Lynx is hiring for this role. Industry: Engineering Services. Sector: 54.