Remote ML Engineer — Computer Vision & Edge Deployment

Innomium; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote-first flexibility

Health and wellness stipends

Annual learning budget

Equipment and setup stipend

Retirement contributions

Job summary

Innomium is seeking a Machine Learning Engineer in computer vision to own vision work from data and baseline design through training, error analysis, model export, runtime profiling, and pilot evidence. Projects may involve object detection, segmentation, event logic, edge deployment, or adaptation of public releases such as Sentinel, Vantage, and Ember.

This role emphasizes evaluating scenes, understanding occlusion, and determining when post-processing improves outcomes, partnering with

Qualifications

• Professional experience developing and evaluating modern computer-vision systems.
• Strong Python, PyTorch, data-pipeline, and experiment-management skills.
• Practical understanding of detection metrics, dataset bias, augmentation, and error analysis.
• Experience taking models into a runtime outside the training environment.
• Ability to reason about latency, memory, hardware, privacy, and operational consequences.
• Evidence of reproducible technical work through code, models, papers, demos, or shipped systems.
• Strong written communication and careful experiment documentation.
• Ability to work effectively in a remote environment with autonomy and accountability.

Responsibilities

• Design representative datasets, splits, annotation guidance, and scene-level evaluation protocols.
• Train, adapt, distill, and compare detection or segmentation models for target environments.
• Perform structured error analysis across camera, condition, class, scale, and failure mode.
• Export and validate ONNX or other deployment artifacts and profile complete inference pipelines.
• Collaborate on temporal logic, event semantics, review interfaces, and monitoring.
• Document model lineage, data limitations, runtime assumptions, and production acceptance evidence.
• Respect privacy, safety, and the limits of computer vision in high-consequence workflows.
• Communicate trade-offs clearly to engineering and non-engineering collaborators.

Skills

Python

PyTorch

Data pipelines

Experiment management

Latency analysis

Documentation

Remote collaboration

Job description

Innomium is seeking a Machine Learning Engineer in computer vision to own vision work from data and baseline design through training, error analysis, model export, runtime profiling, and pilot evidence. Projects may involve object detection, segmentation, event logic, edge deployment, or adaptation of public releases such as Sentinel, Vantage, and Ember.

This role emphasizes evaluating scenes, understanding occlusion, and determining when post-processing improves outcomes, partnering with