Employer Industry: Legal and Financial Information Services
Why consider this job opportunity:
- Opportunity to work with a wealth of data and cutting-edge technologies in machine learning and AI
- Access to a comprehensive benefits package, including flexible vacation and mental health days
- Hybrid work model offering flexibility with 2-3 days in the office
- Commitment to diversity, equity, and inclusion, with a globally recognized culture
- Opportunities for professional growth and development through learning resources like LinkedIn Learning
What to Expect (Job Responsibilities):
- Innovate and explore new ML/NLP/GenAI approaches while mentoring with experts
- Engage in the full research and model development lifecycle, from brainstorming to delivering high-quality reports
- Collaborate with a global team of research engineers and academic partners
- Publish research findings at leading international academic conferences
- Solve real-world challenges using large datasets and advanced algorithmic solutions
What is Required (Qualifications):
- PhD student or recent graduate with research experience in a technical discipline
- First-author publications at relevant venues such as NeurIPS, ICML, ICLR, or similar
- Excellent communication skills for reporting and presenting research findings
- Innovative mindset with the ability to devise novel algorithmic solutions
- Self-driven with the ability to work independently in fast-paced environments
How to Stand Out (Preferred Qualifications):
- Experience with large language models (LLMs) and related research topics
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud
- Previous experience in large-scale machine learning systems
- Strong software and infrastructure engineering skills with contributions to open-source libraries