Machine Learning Engineer

Job Description: Machine Learning Engineer

Company Overview:
We are a research-focused startup based in Houston, Texas, dedicated to developing off-the-shelf software solutions for unique and specific use-cases in the forensic industry. Our flagship project involves creating a groundbreaking software application that uses machine learning to analyze medical imaging data, specifically for the statistical quantification of the rarity of non-metric cranio-facial traits. As part of our commitment to advancing scientific knowledge, we publish our research in prestigious journals such as the Journal of Forensic Sciences. The successful candidate will have the opportunity to be credited as a co-author on these publications. We offer a full-time, fully remote position with potential equity in the company, subject to terms and conditions.

Position: Machine Learning Engineer
Location: Remote
Job Type: Full-time
Equity: Available under certain terms and conditions

Responsibilities:
Data Analysis: Analyze metadata to assess the rarity of specific cranio-facial patterns.
Feature Extraction: Develop and implement AI models for automated feature extraction from medical imaging data.
Research Contribution: Participate in ongoing research activities and contribute to the publication of research papers.
Model Training and Evaluation: Train machine learning models using the extracted features and evaluate their performance to ensure robustness and reliability.
Stay Updated: Keep abreast of the latest developments in machine learning and artificial intelligence to incorporate cutting-edge techniques into the project.

Benefits:
Remote Work: Enjoy the flexibility of working from anywhere.
Research Opportunities: Contribute to groundbreaking research and be recognized as a co-author in published papers.
Equity: Potential to earn equity in the company, aligning your success with the company's growth.
Join us in revolutionizing the forensic industry with cutting-edge machine learning solutions. Apply now to be part of a forward-thinking team that values innovation and collaboration.

1. Educational Background: A Master's degree in Computer Science is preferred.
2. Experience: Proven experience as a Machine Learning Engineer
3. Technical Skills:
Proficiency in programming languages such as Python, Java, or R.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of data structures, algorithms, and software architecture.
4. Statistical and Medical Imaging Knowledge:
Good statistical understanding, particularly in the context of quantifying the rarity of patterns.
Strong understanding of medical imaging data and its applications.

5. Analytical Skills: Excellent problem-solving and analytical skills, with the ability to work with complex datasets.
6. Communication Skills: Strong written and verbal communication skills, with the ability to work effectively in a remote team environment.
7. Innovation: A passion for innovation and continuous learning in the field of machine learning and artificial intelligence.

Application Requirements:
GitHub Profile: Please include a link to your GitHub profile with your application to showcase your relevant projects and contributions.