TL;DR

Applied Scientist (AI): Researching and applying state-of-the-art NLP, multi-modal modeling, and large language models to develop new ML solutions for product compliance and safety globally, with an accent on improving safety and compliance mechanisms. Focus on designing new algorithms for synthetic data generation, active learning, and grounding LLMs for business use cases, while collaborating with engineers and product managers.

Location: Onsite in Romania

Company

%hirify_global%'s Compliance and Safety Services (CoSS) Team focuses on ensuring a safe shopping experience for millions of customers by developing and implementing best-in-class product assurance standards globally.

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 to drive business impact, such as synthetic data generation, active learning, and grounding LLMs for business use cases.
Design and plan collection of new labels and audit mechanisms to improve product assurance and customer trust.
Analyze and convey results to stakeholders, contributing to research and product roadmaps.
Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems and constructively critique peer research.
Consult with engineering teams to design data and modeling pipelines.

Requirements

PhD, or a Master's degree and experience in CS, CE, ML or related field.
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
Proficiency with programming languages such as Python, Java, C++.
3+ years of building machine learning models for business application experience.
5+ years with neural deep learning methods and machine learning.

Nice to have

Experience in professional software development.
Experience implementing algorithms using both toolkits and self-developed code.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Experience working cross functionally across several teams.
Experience with modeling tools such as scikit-learn, PyTorch, numpy, scipy.

Culture & Benefits

%hirify_global% is an equal opportunities employer, committed to employing a diverse workforce.
Recruiting decisions are based on experience and skills, valuing passion to discover, invent, simplify and build.
Protecting privacy and data security of candidates is a longstanding top priority.
Workplace accommodation or adjustment support for disabilities is available during the application and hiring process, including support for interviews or onboarding.