(Python Based) Lead Research Engineer

Thomson Reuters

Ann Arbor (MI)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Flexible hybrid working environment

Supportive workplace policies

Comprehensive benefits plans

Career development opportunities

Job summary

A global technology company in Ann Arbor is seeking a Lead Research Engineer with extensive experience in AI and ML. The role involves leading technical efforts, developing scalable machine learning solutions, and mentoring teams. The ideal candidate has over 8 years in engineering, focusing on Python and ML techniques, and is dedicated to innovation and problem-solving in a collaborative environment. This position offers a flexible hybrid work model and attractive benefits.

Qualifications

At least 8 years of software engineering experience.
2+ years on a Machine Learning related product or solution.
Deep understanding of Python and ML capabilities.

Responsibilities

Provide technical leadership and improve methodology.
Lead software development lifecycle.
Build and train machine learning models.

Skills

Python software development

Machine Learning techniques

Automation and cloud-native applications

Strong communication

Team leadership

Education

Bachelor's Degree in Computer Science or Related Field

Tools

AWS

Azure

Python data science libraries

Job description

Join to apply for the (Python Based) Lead Research Engineer role at Thomson Reuters

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.

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: Create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. Develop high performing scalable systems in the context of large online delivery environments.
Be a Team Player: Working in a collaborative team‑oriented environment, 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, deliver timely solutions.
Be Innovative: Empowered to try new approaches and learn new technologies, 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, effectively articulate ideas and collaborate on technical developments.

About You

You are a fit for the Lead Research Engineer role if your background includes:

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.
Experience leading technical workstreams within a software engineering organization.
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.
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.
Familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
Experience leading and/or mentoring teams.
Providing guidance around roadblocks for team.
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.
Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval.
Hands‑on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

What’s in it For You?

Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office depending on the role) while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work‑Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities.
Career Development and Growth: Foster a culture of continuous learning and skill development.
Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, two company‑wide Mental Health Days off, access to Headspace, retirement savings, tuition reimbursement, employee incentive programs, and resources for wellbeing.
Culture: Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more.
Social Impact: Opportunity to help make an impact in your community through Social Impact Institute.
Making a Real‑World Impact: Helping customers pursue justice, truth, and transparency.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.

We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence and solutions needed to make informed decisions.

Thomson Reuters is a world‑leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries.

Thomson Reuters is an Equal Employment Opportunity Employer providing a drug‑free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities. If you reside in the United States and require an accommodation in the recruiting process, you may contact HR.Leave‑Expert@thomsonreuters.com.

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