Manager, Research Science (Foundational Research, Machine Learning)

Thomson Reuters; New York (NY); Hybrid; USD 90,000 - 160,000; Full time

Job summary

An established industry player is seeking a visionary leader in machine learning and data analytics. This role offers the chance to drive strategic planning and innovation in cutting-edge ML, NLP, and generative AI projects. You'll work in a hybrid model, balancing office presence with flexibility while collaborating with a global team. Your contributions will not only advance your career but also uphold justice and transparency through impactful projects. Join a collaborative environment with access to extensive data and technology, where your expertise will shape the future of research and development.

Benefits

Flexible vacation

Mental health days

Access to cutting-edge technology

Career advancement opportunities

Qualifications

• PhD in a relevant field with a strong publication record.
• Experience in ML research and familiarity with deep learning frameworks.

Responsibilities

• Lead strategic planning and management in foundational research.
• Innovate state-of-the-art ML/NLP/IR approaches and collaborate globally.

Skills

Deep Learning

Machine Learning

Natural Language Processing

Information Retrieval

Generative AI

Excellent Communication Skills

Education

PhD in a relevant discipline

Tools

PyTorch

JAX

TensorFlow

Job description

Employer Industry: Machine Learning and Data Analytics

Why consider this job opportunity:

1. Opportunity for career advancement and growth within the organization
2. Hybrid work model with flexibility (2-3 days a week in the office)
3. Comprehensive benefits including flexible vacation and mental health days
4. Access to extensive data and cutting-edge technology in a collaborative environment
5. Chance to contribute to impactful projects that uphold justice and transparency

What to Expect (Job Responsibilities):

1. Lead strategic planning, hiring, and management in foundational research
2. Innovate and create state-of-the-art ML/NLP/IR/GenAI approaches
3. Participate in the entire research and model development lifecycle
4. Collaborate with a global team of research engineers and academic partners
5. Communicate technical findings through seminars, lectures, and publications

What is Required (Qualifications):

1. PhD in a relevant discipline
2. Strong publication record in top-tier conferences
3. Familiarity with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
4. Experience in ML research beyond completing a PhD
5. Excellent communication skills for presenting research findings

How to Stand Out (Preferred Qualifications):

1. High-impact publications in top-tier conferences
2. 5+ years of hands-on experience leading teams in ML/NLP/IR systems
3. Extensive experience with deep learning and large-scale model training
4. Familiarity with state-of-the-art research topics in large language models
5. Strong software and infrastructure engineering skills