Senior Research Scientist (Foundational Research, Machine Learning)

Thomson Reuters; New York (NY); Hybrid; USD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a motivated individual to join their innovative team focused on machine learning and natural language processing. This role offers the opportunity to work on cutting-edge research, develop new approaches in generative AI, and collaborate with a diverse group of experts. With a flexible hybrid work model and a commitment to personal and professional growth, this position allows you to engage in meaningful work that impacts justice and transparency globally. If you are passionate about leveraging advanced data and research to solve real-world challenges, this is the perfect opportunity for you.

Benefits

Flexible Vacation

Mental Health Days Off

Wellbeing Resources

Collaborative Work Environment

Access to Advanced Data

Qualifications

• PhD student or recent graduate with research experience in ML/NLP.
• First-author publications at conferences like NeurIPS or ICML.

Responsibilities

• Innovate and develop new ML/NLP/GenAI approaches.
• Collaborate with global teams and publish research findings.

Skills

Machine Learning

Natural Language Processing

Generative AI

Communication Skills

Self-driven Attitude

Agile Methodologies

Education

PhD in a Technical Discipline

Research Experience

Tools

Amazon AWS

Microsoft Azure

Google Cloud

Job description

Employer Industry: Information Services

Why consider this job opportunity:

1. Join a leading organization renowned for its commitment to equality, diversity, and inclusion.
2. Opportunity for personal and professional growth within a collaborative and innovative environment.
3. Flexible hybrid work model with 2-3 days a week in the office.
4. Comprehensive benefits including flexible vacation, mental health days off, and various wellbeing resources.
5. Engage in purpose-driven work that contributes to justice, truth, and transparency globally.
6. Access to advanced data, compute resources, and participation in impactful research projects.

What to Expect (Job Responsibilities):

1. Innovate and develop new ML/NLP/GenAI approaches while mentoring with leading experts.
2. Participate in the entire research and model development lifecycle from brainstorming to delivering reports.
3. Collaborate with a global team of research engineers and academic partners.
4. Publish research findings at leading international academic conferences.
5. Solve real-world challenges using a wealth of unique data available to the team.

What is Required (Qualifications):

1. PhD student or recent graduate with research experience in a technical discipline.
2. First-author publications at relevant academic venues such as NeurIPS, ICML, or similar.
3. Excellent communication skills for reporting and presenting research findings.
4. Self-driven attitude and ability to work with limited supervision.
5. Comfortable working in fast-paced, agile environments with uncertainty.

How to Stand Out (Preferred Qualifications):

1. Experience with state-of-the-art research topics in large language models (LLMs).
2. Familiarity with cloud tools like Amazon AWS, MS Azure, or Google Cloud.
3. Previous experience with large-scale machine learning systems.
4. Strong software and/or infrastructure engineering skills demonstrated through contributions to open-source libraries.