Machine Learning Engineer

About the Company

MeeBoss is sharing this active opportunity on behalf of Kuddo Health, an AI-powered patient data analytics company for psychologists and psychiatrists.

About the Role

The role involves leading machine learning modeling work in collaboration with Stanford Medicine researchers.

Responsibilities

• Own the machine learning end-to-end process, translating clinical questions into computational problems.
• Turn clinical fidelity rubrics into well-posed extraction and scoring problems.
• Curate ground-truth data in collaboration with clinical reviewers.
• Build evaluation frameworks against expert raters.
• Fine-tune open-weight models as the dataset grows.

Qualifications

• Demonstrated ML and Deep Learning expertise, including training and fine-tuning.
• Experience with data labeling and quality control.
• Strong problem-solving skills and the ability to reason through complex challenges.
• A portfolio of shipped projects that demonstrates practical impact.
• Relevant certifications such as Certified Machine Learning Specialist, Deep Learning Professional Certification, or AI Ethics Certification.
• Proficiency in English.

Pay range and compensation package

$80,000-160,000/year

Equal Opportunity Statement

MeeBoss helps job seekers and hiring teams make direct, relevant career connections.

How to apply

Apply through the MeeBoss link on this LinkedIn post.