Machine Learning / NLP Research Scientist

Job not on LinkedIn

July 28

Apply Now

Receive Emails with Similar Jobs

TechStarsGroup LLC

WebsiteLinkedInAll Job Openings

Fintech • Healthcare Insurance • SaaS

TechStarsGroup LLC is a specialized recruiting firm that focuses on identifying and attracting talent for startup and rapidly growing technology companies. They recognize the unique challenges faced by employees in startup environments and utilize their extensive network and cutting-edge techniques, including AI tools and data science methodologies, to efficiently match candidates with roles in information technology, particularly in health, life sciences, fintech, and SaaS sectors. TechStarsGroup aims to support professionals in finding impactful roles that align with their career aspirations while assisting companies in building strong teams essential for their growth and innovation.

2 - 10 employees

💳 Fintech

⚕️ Healthcare Insurance

☁️ SaaS

📋 Description

• Push the boundaries of medical NLP research, focusing on conversation summarization, evidence extraction, outcome prediction, and developing new evaluation techniques and experimental approaches. • Engage with the broader research community by disseminating original research findings and insights. • Tackle significant challenges, set benchmarks, innovate state-of-the-art methodologies, and integrate them into practical applications. • Utilize feedback from healthcare professionals to drive continuous improvement and innovation in our solutions. • Approach ambiguous challenges and uncertain results with a results-driven mindset.

🎯 Requirements

• A solid research foundation, evidenced by publications and an advanced degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or a related field. • Contributions to leading AI conferences (e.g., *CL, NeurIPS, ICML, ICLR) through high-impact publications. • Demonstrated real-world impact via open source contributions and the deployment of technologies. • Proficient programming skills and experience in developing, prototyping, and implementing machine learning solutions in a production environment. • Familiarity with deep learning frameworks (e.g., PyTorch, Jax, TensorFlow), experience with multi-GPU training, and a strong capability in statistical analysis of both observational and experimental data.