Senior Computer Vision ML Engineer — Production-Ready Models

Metropolis Technologies; Seattle (WA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Healthcare benefits

401(k)

Disability coverage

Life insurance

Stock options

Bonus plans

Job summary

Metropolis Technologies is looking for a Senior Machine Learning Engineer to design and deploy advanced computer vision models that enhance core products. You will engage with challenges in object detection, video analytics, and multi-modal systems, collaborating with cross-functional teams to execute impactful solutions.

A PhD and 5+ years of relevant experience in machine learning are required. The role offers a competitive salary range of $150,000 to $200,000 annually, along with comprehensive benefits and a collaborative work culture.

Qualifications

• 5+ years of hands-on experience in machine learning and computer vision, with a track record of deploying models into production.
• Strong experience with model optimization (e.g., quantization, pruning) and deployment on cloud, edge, or mobile platforms.
• Excellent communication skills, capable of presenting complex technical information clearly.

Responsibilities

• Design, develop, and deploy advanced computer vision models for real-world applications.
• Build and optimize deep learning models for performance and scalability in production.
• Lead the design and implementation of scalable pipelines for data processing, model training, and deployment.

Skills

Machine learning

Computer vision

Python

ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT)

Model optimization

Cloud platforms (AWS, GCP, Azure)

Data pipeline maintenance (e.g., Airflow)

Agile development processes

CI/CD tools (e.g., GitHub Actions, Jenkins)

Communication skills

Education

PhD in Computer Science, Engineering, or related field

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

Metropolis Technologies is looking for a Senior Machine Learning Engineer to design and deploy advanced computer vision models that enhance core products. You will engage with challenges in object detection, video analytics, and multi-modal systems, collaborating with cross-functional teams to execute impactful solutions.

A PhD and 5+ years of relevant experience in machine learning are required. The role offers a competitive salary range of $150,000 to $200,000 annually, along with comprehensive benefits and a collaborative work culture.