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An established industry player is seeking a Senior Research Scientist to drive innovation in foundational research and machine learning. This role offers the chance to work on high-impact AI solutions, collaborating with a global team of experts. You will be responsible for developing new methodologies, engaging in the research lifecycle, and publishing findings at prestigious conferences. With flexible work arrangements and a comprehensive benefits package, this opportunity is perfect for those looking to advance their careers in a supportive and dynamic environment. Join a forward-thinking organization committed to diversity and inclusion.
Employer Industry: Legal and Information Services
Why consider this job opportunity:
- Salary up to $188,760
- Opportunity for career advancement and growth within the organization
- Flexible work arrangements, including the option to work remotely for up to 8 weeks per year
- Comprehensive benefits package, including mental health days, retirement savings, and tuition reimbursement
- Collaborative global team environment with access to leading experts in the field
- Chance to contribute to high-impact AI solutions that serve a variety of professional sectors
What to Expect (Job Responsibilities):
- Innovate and develop new ML/NLP/IR/GenAI approaches to solve real-world challenges
- Engage in the entire research and model development lifecycle, including brainstorming, building, testing, and reporting
- Collaborate with research engineers both within the employer and academic partners at leading universities
- Publish research findings at leading international academic conferences
- Utilize a wealth of data to drive AI model research and development
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, ACL, or similar
- Excellent communication skills for reporting and presenting research findings
- Self-driven attitude and ability to work with limited supervision
- Comfortable managing uncertainty and ambiguity in fast-paced, agile environments
How to Stand Out (Preferred Qualifications):
- Experience with relevant state-of-the-art research topics in large language models (LLMs)
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud
- Previous experience working on large-scale machine learning systems
- Strong software and/or infrastructure engineering skills demonstrated through contributions to open-source libraries
#LegalTech #MachineLearning #AIResearch #CareerOpportunity #DiversityAndInclusion
"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."