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Senior Research Engineer
2 months ago
Are you passionate about developing cutting-edge solutions for clients?
We are looking for a dedicated Senior Research Engineer who possesses deep knowledge in Artificial Intelligence and Machine Learning, eager to construct data-centric capabilities that facilitate transformation. As part of Thomson Reuters Labs, your contributions will significantly influence our organization by fostering the creation of novel and impactful capabilities that enhance customer satisfaction.
What is the mission of Thomson Reuters Labs?
We innovate, we construct, we deliver. Our focus is on supporting the organization and our clients through applied research and the advancement of new products and technologies. TR Labs collaborates across our primary sectors, including Legal, Tax & Accounting, Government, and Reuters News.
As a Senior Research Engineer at Thomson Reuters Labs, you will join a global, interdisciplinary team of specialists. We recruit engineers and experts across various AI research domains to propel the company’s digital evolution. The fields of AI science and engineering are rapidly advancing. We seek an adaptable learner who can code proficiently and is enthusiastic about acquiring and developing new skills as required; someone who is comfortable exploring new challenges and enjoys guiding and supporting the efforts of their peers.
About the Role:
In this position as a Senior Research Engineer, you will:
- Exhibit Leadership: Offer technical guidance while collaborating with fellow engineers to refine methodologies and enhance the technology stack.
- Design and Implement: Utilizing contemporary software development practices, you will engage in the complete software development lifecycle, crafting, testing, and delivering high-quality solutions.
- Create Scalable ML Solutions: You will develop extensive data processing pipelines to assist researchers in constructing and training innovative machine learning algorithms. Your role will involve developing high-performance scalable systems suitable for large online delivery contexts.
- Collaborate Effectively: In a team-oriented environment, you will share insights, appreciate diverse perspectives, and partner with cross-functional and remote teams.
- Embrace Agility: With a strong sense of urgency and a desire to thrive in a fast-paced, dynamic setting, you will deliver timely solutions.
- Encourage Innovation: You will have the freedom to explore new methodologies and learn emerging technologies, contributing innovative ideas and being accountable for comprehensive deliveries.
- Communicate Effectively: Through engaging interactions with cross-functional partners and team members, you will clearly articulate concepts and collaborate on technical advancements.
You are an ideal candidate for the Senior Research Engineer role if your background includes:
Essential skills & experience:
- A Bachelor’s Degree in Computer Science or a related discipline.
- A minimum of 7 years of experience in software engineering.
- At least 3 years of involvement in a Machine Learning-related product or solution.
- Experience in developing end-to-end ML projects, including deployment and performance metrics.
- Proven experience leading technical workstreams within a software engineering environment.
- Strong proficiency and understanding of Python software development stacks and ecosystems.
- Ability to comprehend, apply, integrate, and deploy Machine Learning capabilities and techniques into various systems.
- Familiarity with the Python data science stack, including libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, and scikit-learn.
- A commitment to writing clean, reusable, maintainable, and well-tested code.
- Demonstrated expertise in automation, system monitoring, and cloud-native applications, with knowledge of AWS or Azure (or a similar cloud platform).
- Proficient in system analysis and design, with a focus on DevOps and automation as fundamental principles of your work.
- A desire to learn and embrace new and emerging technologies.
- Familiarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methods.
- Experience in leading and/or mentoring teams.
- Ability to provide guidance around challenges faced by the team.
- Experience in updating internal stakeholders.
- Experience in integrating Machine Learning solutions into production-grade software, with a solid understanding of ModelOps and MLOps principles and the ability to bridge the gap between research and engineering methodologies.
- Previous exposure to Natural Language Processing (NLP) challenges, with familiarity in key tasks such as Named Entity Recognition (NER), Information Extraction, and Information Retrieval.
- Proven success in taking and integrating Machine Learning solutions into production-grade software.
- Hands-on experience with other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
You will be part of an inclusive culture of exceptional talent, where we are dedicated to your personal and professional development through:
- Hybrid Work Model: We have embraced a flexible hybrid working environment (2-3 days a week in the office based on the role) for our office-based positions while ensuring a seamless experience that is both digitally and physically connected.
- Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.
- Learning & Development: Access to LinkedIn Learning; internal Talent Marketplace with opportunities to work on cross-company projects; networking through Ten Thousand Coffees Thomson Reuters café.
- Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social, and Governance (ESG) initiatives for local and global impact.
- Purpose Driven Work: We take pride in our unique position as one of the few companies globally that assists its clients in pursuing justice, truth, and transparency. Together, with the professionals and institutions we serve, we uphold the rule of law, facilitate commerce, combat wrongdoing, report facts, and provide trusted, unbiased information worldwide.
We are driven by the talents of 26,000 employees across more than 70 countries, where everyone has the opportunity to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. In a time when objectivity, accuracy, fairness, and transparency are under scrutiny, we consider it our responsibility to champion these values.
