Job Description

ID: JREQ178688


Hybrid requirements: This role has flexible working patterns.
We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.
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

You are a fit for the Lead Research Engineer role if your background includes:Essential skills & experience:
A Bachelor's Degree in Computer Science or Related Field.
Significant software engineering experience.
Demonstrable experience working on a Machine Learning related product or solution.
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 understand the mathematical concepts underlying machine learning methods.
Have experience leading and/or mentoring teams.
Have experience providing guidance around roadblocks for team.
Have experience providing updates to internal stakeholders.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 are familiar 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.)
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Role tech stack
Python


SciPy


Pandas


AWS


Microsoft Azure