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(Python Based) Ld Research Engineer

Lead Research EngineerDo 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: 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) Ld Research Engineer, Thomson Reuters

Are you passionate about innovating and crafting AI-driven solutions? Look no further than the Lead Research Engineer position at Thomson Reuters Labs in Ann Arbor, MI! In this role, you'll collaborate with a dynamic team to spearhead cutting-edge projects that directly impact the company and our esteemed clients. We're all about experimentation and innovation, and your expertise in AI and machine learning will be key to developing transformative products and technologies. You won't just be coding; you'll be leading fellow engineers while becoming an influential voice in shaping methodologies and advancing our tech stack. From building scalable machine learning solutions to creating robust data processing pipelines, your work will help researchers refine novel algorithms. If you thrive in a collaborative environment where creative problem-solving is the norm and you're eager to learn new technologies as they emerge, this is your chance to shine! Thomson Reuters Labs fosters a culture that values diverse ideas and champions effective communication. If you're adaptable, enjoy working in a fast-paced setting, and are ready to make a meaningful impact, we'd love for you to join our world-class team and contribute to turning our vision into reality.

Frequently Asked Questions (FAQs) for (Python Based) Ld 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 will take on a pivotal leadership role, providing technical guidance and partnering with fellow engineers to enhance methodologies. Your responsibilities will include overseeing the software development lifecycle, building scalable ML solutions, and fostering collaboration with cross-functional teams. You will also contribute innovative ideas and deliver effective communication that drives technical developments.

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What qualifications do I need to apply for the Lead Research Engineer position at Thomson Reuters?

To be eligible for the Lead Research Engineer position at Thomson Reuters, you'll need a Bachelor's Degree in Computer Science or a related field, along with at least 8 years of software engineering experience, focusing on machine learning solutions. Experience in leading technical workstreams, demonstrated proficiency in Python, and familiarity with the Python data science stack are essential for success in this role.

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What programming languages should I be familiar with for the Lead Research Engineer role at Thomson Reuters?

For the Lead Research Engineer role at Thomson Reuters, a strong foundation in Python is crucial, along with a deep understanding of its related ecosystems. Familiarity with other programming languages like Java, TypeScript, or JavaScript will be considered an asset. Additionally, knowledge of machine learning principles and probabilistic models will enhance your qualifications for this position.

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How does Thomson Reuters support professional growth for Lead Research Engineers?

Thomson Reuters is dedicated to fostering an inclusive culture that prioritizes employee growth. As a Lead Research Engineer, you will have access to resources like LinkedIn Learning, internal talent marketplaces, and networking opportunities through programs like Ten Thousand Coffees. This commitment to continuous learning will empower you to enhance your skills and advance your career within the organization.

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What is the work environment like for a Lead Research Engineer at Thomson Reuters?

The work environment for a Lead Research Engineer at Thomson Reuters is dynamic and collaborative. The company promotes a hybrid work model, allowing for a flexible balance between in-office and remote work. The culture values diversity, open communication, and teamwork, creating a space where innovative ideas can be shared and implemented to drive impactful results.

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Common Interview Questions for (Python Based) Ld Research Engineer
Can you describe your experience with machine learning products as a Lead Research Engineer?

In your response, share specific examples of machine learning products you have developed or contributed to, focusing on your role and the methodologies used. Highlight your problem-solving approach and the impact your contributions had on project outcomes.

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How do you prioritize tasks in a fast-paced research environment?

Discuss your methods for assessing project urgency and importance. Mention tools or frameworks you use for task management and provide an example where your prioritization led to successful project delivery.

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What strategies do you use to mentor junior engineers?

Outline your approach to mentorship, focusing on personalized support, knowledge sharing, and encouraging independent problem-solving. Share a success story from your experience mentoring a team member.

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How have you integrated machine learning techniques into production-grade software?

Illustrate your experience with transitioning machine learning models into production. Discuss any challenges faced, methodologies adopted for deployment, and how you ensured model performance through monitoring and updates.

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What programming languages and tools do you prefer for developing scalable ML solutions?

Discuss your proficiency in Python and relevant libraries while also mentioning any experience with other languages such as Java or TypeScript. Highlight specific tools or frameworks that have been effective in your projects.

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Can you share your experience with cloud-native applications and platforms?

Talk about the cloud platforms you've worked with, such as AWS or Azure, along with specific projects that involved cloud-native application development. Share the benefits you observed from using cloud technologies.

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How do you stay updated with the latest advancements in AI and machine learning?

Detail your strategies for professional development, such as attending conferences, participating in online courses, joining forums, or reading industry literature. Emphasize your commitment to continuous learning and staying at the forefront of technology.

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Describe a time when you faced a significant problem during a project. How did you resolve it?

Provide a detailed account of a specific challenge, focusing on your thought process, the actions you took, and the outcomes. Highlight your ability to remain calm under pressure and find effective solutions.

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How do you foster collaboration within a cross-functional team?

Discuss ways in which you facilitate open communication, encourage diverse ideas, and ensure that all team members feel valued. Mention any tools or practices you use to support collaboration.

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Why do you want to work at Thomson Reuters as a Lead Research Engineer?

When answering, align your values and aspirations with Thomson Reuters' mission and culture. Highlight specific aspects of the company's work environment, projects, or goals that resonate with you and motivate you to contribute.

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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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DATE POSTED
December 15, 2024

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