Applied Scientist (NLP/LLM)

TL;DR

Applied Scientist (NLP/LLM): Researching and extending state-of-the-art methods in NLP, multi-modal modeling, domain adaptation, continuous learning, and large language models to improve product compliance and safety mechanisms with an accent on synthetic data generation, active learning, and grounding LLMs for business use cases. Focus on designing new algorithms, planning label collection and audit mechanisms, analyzing tabular, textual, and image data from product pages and customer feedback.

Onsite in Timisoara, Bucharest, or Iasi, Romania

Company

hirify.global's Compliance and Safety Services team delivers custom state-of-the-art algorithms for image and document understanding, specializing in machine learning solutions for compliance capabilities across multi-modal modeling, unstructured data matching, text extraction, and anomaly detection.

What you will do

• Research and evaluate state-of-the-art algorithms in NLP, multi-modal modeling, domain adaptation, continuous learning, and large language models.
• Design new algorithms improving on state-of-the-art, such as synthetic data generation, active learning, and grounding LLMs for business impact.
• Design and plan collection of new labels and audit mechanisms to enhance product assurance and customer trust.
• Analyze results and contribute to research and product roadmap, collaborating with scientists, engineers, product managers, and business teams.
• Consult with engineering teams on data and modeling pipelines interfacing with software systems.
• Publish research at internal and external venues.

Requirements

• PhD or Master's degree in CS, CE, ML or related field.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel/distributed computing, high-performance computing.
• Programming experience with Python, Java, C++.
• Experience building machine learning models for business applications.
• 5+ years with neural deep learning methods and machine learning.

Nice to have

• Experience with statistical modeling/machine learning.
• Professional software development experience.
• Implementing algorithms using toolkits and self-developed code.
• Patents or publications at top-tier conferences/journals.
• Cross-functional experience across teams.

Culture & Benefits

• Inclusive culture empowering diverse workforce to deliver best results for customers.
• Equal opportunities employer making decisions based on experience and skills.
• Workplace accommodations for disabilities during application, hiring, interview, and onboarding.