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(Python Based) Lead Research Engineer

Lead Research Engineer Do you love creating innovative solutions for customers? 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. What does Thomson Reuters Labs do?We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.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.• At least 8 years software engineering experience of which at least 2 years 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.• Can demonstrate adaptability and thrive in a dynamic environment, successfully managing and delivering high-quality results when faced with fluid requirements• 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.)• #LI-JF1What's in it For You?You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is 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: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.• 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 have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $151,700 - $281,700. Eagan, MN; Ann Arbor, MI; Richmond, VA; Rochester, NY. The base compensation range for the role in any of those locations is $131,000 - $243,400. Chicago, IL; Frisco, TX; Houston, TX; fully remote location. For these locations and any eligible US locations not otherwise noted, including for fully remote location if applicable, the base compensation range for this role is $137,900 - $256,100. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings click here to know more.More information about Thomson Reuters can be found on https://thomsonreuters.com.
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What You Should Know About (Python Based) Lead Research Engineer, Thomson Reuters

Are you ready to take on a thrilling challenge as a Lead Research Engineer with Thomson Reuters Labs, right in the heart of Frisco, TX? If you have a passion for creating innovative solutions using AI and machine learning, we want you! This role is your chance to lead a diverse and exciting team as we build data-driven capabilities that will not only transform our company but also delight our customers. In this position, you’ll be deeply involved in every step of the software development lifecycle—designing, building, testing, and delivering high-quality solutions. Your expertise will shine as you create large-scale data processing pipelines, making a significant impact on researchers developing machine learning algorithms. Here at Thomson Reuters Labs, we advocate for an environment where collaboration and innovation thrive. You’ll lead technical workstreams, guide your team through roadblocks, and encourage diverse ideas and teamwork. If you enjoy working in a flexible, fast-paced environment and are keen on keeping up with the latest technologies, this is the perfect opportunity for you. Join us and help shape how knowledge professionals work, all while having fun and growing your skills in a rewarding workplace. Let’s push boundaries together and reinvent the future!

Frequently Asked Questions (FAQs) for (Python Based) Lead Research Engineer Role at Thomson Reuters
What are the responsibilities of a Lead Research Engineer at Thomson Reuters?

As a Lead Research Engineer at Thomson Reuters, you'll be responsible for providing technical leadership, building and delivering high-quality software solutions, and creating scalable machine learning systems. You will collaborate with cross-functional teams, guiding your peers and ensuring the success of complex projects. Emphasizing innovation, you’ll also contribute ideas and implement modern software development practices.

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What qualifications are necessary for the Lead Research Engineer position at Thomson Reuters?

To qualify for the Lead Research Engineer role at Thomson Reuters, candidates should possess a Bachelor's Degree in Computer Science or a related field and at least 8 years of software engineering experience. Additionally, at least 2 years working on machine learning products is essential. Proficiency in Python and familiarity with data science libraries are crucial, alongside experience in leading technical teams.

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How does Thomson Reuters foster innovation within the Lead Research Engineer role?

Thomson Reuters fosters innovation by creating a collaborative work environment for Lead Research Engineers. You’ll have the freedom to explore new technologies, engage with interdisciplinary teams, and contribute fresh ideas that drive product transformation. This culture of adaptability encourages you to learn and apply new methodologies, making your role both dynamic and impactful.

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What kind of technologies will a Lead Research Engineer at Thomson Reuters work with?

As a Lead Research Engineer at Thomson Reuters, you will work with various technologies, notably in the Python ecosystem, including libraries such as Numpy, Pandas, and scikit-learn. You will also be involved in developing scalable machine learning solutions and employing cloud platforms like AWS or Azure, enhancing your expertise in cloud-native applications and automation practices.

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What growth opportunities does a Lead Research Engineer have at Thomson Reuters?

At Thomson Reuters, Lead Research Engineers are presented with ample growth opportunities. You’ll have access to learning resources like LinkedIn Learning, internal project opportunities, and networking events. The focus on mentorship and professional development means you're not just advancing your technical skills but also your leadership abilities within a supportive community.

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Common Interview Questions for (Python Based) Lead Research Engineer
How would you approach building a scalable machine learning solution?

When building a scalable machine learning solution, first, I would assess the problem domain and determine the necessary data requirements. Then, I'd design a robust data pipeline for processing and feature engineering, leveraging cloud services like AWS or Azure for scalability. Collaboration with data scientists is crucial to ensure the models integrate seamlessly into production-grade software.

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Can you discuss your experience with Python and its associated libraries?

Certainly! I have extensive experience in Python, particularly with libraries such as Pandas for data manipulation, NumPy for numerical computing, and scikit-learn for building machine learning models. I prioritize writing clean, maintainable code and ensuring efficiency in data processing workflows, which has been vital in my previous projects.

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What strategies do you use to lead technical workstreams effectively?

To lead technical workstreams effectively, I focus on clear communication and setting realistic, achievable goals. I involve team members in the decision-making process, encouraging diverse perspectives, and regularly check in on progress. This approach helps us navigate challenges as a cohesive team and deliver results efficiently.

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Describe a challenging project you led and how you navigated obstacles.

I led a project that required integrating machine learning capabilities into an existing product. The main challenge was aligning stakeholders on evolving requirements. I facilitated regular touchpoints to gather feedback, which allowed us to pivot effectively while keeping everyone informed and engaged, ultimately improving project success.

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How do you stay current with advancements in AI and machine learning?

I stay current by following respected AI research publications and attending industry conferences and webinars. I also participate in online courses and engage with communities on platforms such as GitHub and Stack Overflow, allowing me to learn from peers and contribute to open-source projects.

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What is your experience with Natural Language Processing (NLP)?

I have worked on various NLP projects, focusing on tasks such as Named Entity Recognition (NER) and Information Retrieval. I am familiar with libraries like spaCy and NLTK, which I've utilized to preprocess text data, train models, and optimize the extraction of meaningful insights from unstructured data.

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How do you ensure the quality of machine learning models in production?

I emphasize the importance of continuous model evaluation and performance monitoring through automated testing and validation steps. Implementing MLOps practices allows for seamless integration of models into production while ensuring that they are retrained regularly with new data and feedback to maintain their accuracy.

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What role does teamwork play in your approach to engineering projects?

Teamwork is essential in engineering projects. I believe in leveraging the diverse skills and insights of team members. I foster an inclusive environment where everyone feels comfortable sharing ideas, which leads to more innovative solutions. Regularly scheduled collaborative sessions help align our efforts toward a common goal.

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How do you handle tight deadlines while maintaining code quality?

To handle tight deadlines, I prioritize tasks based on their impact on the overall project. I emphasize the importance of maintaining code quality by integrating best practices such as code reviews and automated testing. Establishing clear milestones helps keep the team focused while ensuring we don't compromise on quality.

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What motivates you to develop innovative solutions within your job?

I’m motivated by the challenge of solving complex problems and the potential impact of my work on customers and the organization. Being part of a team that pushes boundaries and embraces new technologies excites me, along with knowing that my contributions can lead to meaningful change within the industry.

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Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compl...

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December 18, 2024

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