Applied ML Engineer - Computer Vision

Applied ML Engineer - Computer Vision

Pay

$155,000 - $175,000 annually

Location

Remote

Summary

An AI startup is seeking a founding Applied Machine Learning Engineer specializing in Computer Vision to lead the development of an innovative X-ray imaging product. As a key member of the team, you will drive end-to-end model development, from data acquisition to deployment, supporting a high-impact platform dedicated to product verification and quality assurance in compliance-critical environments. This role offers an exciting opportunity to shape a groundbreaking new technology in a fast-paced, startup-like setting with significant growth potential.

Requirements

• Strong proficiency in Python and deep learning frameworks, especially PyTorch
• Proven experience developing and deploying computer vision systems from data collection to production
• Expertise in fine-tuning detection and segmentation models on complex, real-world datasets
• Experience with labeling workflows and human-in-the-loop validation tools (e.g., Label Studio)
• Ability to operate effectively in ambiguous situations and communicate technical details to non-technical stakeholders
• Familiarity with dataset versioning, experiment tracking, and MLOps practices

• Build, iterate, and refine computer vision models for marker detection and defect identification
• Define and implement evaluation metrics aligned with customer workflows, thresholds, and confidence thresholds
• Conduct error analysis, derive actionable insights, and plan iterative improvements
• Manage dataset curation, labeling guidelines, sampling strategies, and quality assurance processes
• Establish lightweight versioning conventions for datasets and models to ensure reproducibility and traceability
• Collaborate with customers and domain experts to clarify edge cases, constraints, and project success criteria
• Develop reproducible training pipelines, experiment tracking, and model management systems
• Package and deploy inference models, integrating into APIs, batch workflows, or streaming systems

• Be a founding engineer in a cutting-edge AI platform at the intersection of physical science and machine learning
• Work remotely with flexible hours and unlimited PTO in a trusting, autonomous environment
• Collaborate with a talented team of industry experts, including MDs, PhDs, and technical leaders
• Opportunity for growth and impact in a startup environment focused on high-stakes, real-world applications