Lead Research Engineer

Key Skills

Agile methodologies, AI technology, AngularJS, API integration, Automation, AWS, Azure, Cloud computing, Dask - Python library, Data democratisation, Data extraction, Data science techniques, Database, Environmental, Flight Data Monitoring-FDM, Framework, Google Cloud Platform (GCP), Information Retrieval, Java Programming, JavaScript, Large Language Models - LLMs, Machine learning techniques, Maintenance, Mathematical modeling, MLOps tools, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, NER tags, Node.js, NoSQL, NumPy, Pandas, Probabilistic Graphical Models, Programming, Python Programming, React.js, RESTful, Scikit-learn, SciPy, Software Development, spaCy, SQL, TypeScript, Web APIs

Job Description

As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation.  The science and engineering of AI are rapidly evolving.  We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others. 

Is this you? Come join us!  

About the Role  

In this opportunity as a Lead Research Engineer, you will:   

• Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.

• Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.

• Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments.

• Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.

• Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions.  

• Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.  

• Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.   

About You   

To be considered for the role of a Lead Research Engineer, you will have:

• Have a Bachelor of Science degree, computer science or related field 

• At least 8 years software engineering experience, ideally in the context of machine learning and natural language processing

• Have experience leading technical workstreams within a software engineering organization.

• Are skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.

• Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.

• Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn

• Take pride in writing clean, reusable, maintainable and well-tested code

• Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)

• Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work

• Have a desire to learn and embrace new and emerging technology

• Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods

 Preferred skills & experience  

• Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields 

• Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

• Have been successfully taking and integrating Machine Learning solutions to production-grade software

• Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.) 

What's in it for you 

At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth: 

• Casual and diverse office environment where colleagues come from over 30 countries

• Competitive salary

• Hybrid work environment (in-office & home)

• Two additional days off for voluntary jobs

• Wellbeing scheme including private healthcare, pension and more

• High standards of ethics in the workplace

• Learning & Development through company sponsored access to learning, mentorship and networking programs

• Get a 360° view of Thomson Reuters: Thomson Reuters Labs is a microcosm of the entire corporation, giving employees who work here:

• Accelerated growth in cross-business knowledge.

• A rich internal network, including senior leadership representing all customer segments and functions.