Software Engineering Manager – AI

Software Engineering Manager – AI / ML (Recommender Systems)

As an integral part of the Thomson Reuters team, you'll contribute to the evolution and leadership of the global knowledge economy. Our cutting-edge technology propels global markets and empowers professionals across the globe to make impactful decisions. Whether you're tackling today's challenges or aiming for future achievements, you'll collaborate with some of the most brilliant minds on a variety of projects, forging innovative solutions that yield significant outcomes. As a premier source of intelligent information, we rely on your distinct perspective to craft solutions that propel both our business and your professional development forward.

Are you enthusiastic about the opportunity to utilize your extensive technical know-how to steer a development team through comprehensive, full-cycle implementations within a top-tier organization? Our Commercial Engineering team seeks to enhance our robust global engineering team with a dedicated Software Engineering Manager specializing in AI/ML for Recommender Systems. We're searching for someone who is fervent, independently minded, thrives in a cooperative multi-disciplinary setting, and is at ease interacting with a diverse range of individuals and technological platforms. Seize this opportunity to make a transformative impact on customer engagement as we craft the next generation of our enterprise-wide experience.

About the Role:

In the capacity of Software Engineering Manager – AI/ML (Recommender System), you will:

• Lead the technical implementation of AI/ML solutions, ensuring alignment with business, product, and recommender system goals.
• Oversee the development of machine learning solutions across one or more teams, managing configuration and integration.
• Instill machine learning best practices, uphold technical standards, model design, and quality assurance, including conducting source code reviews.
• Handle the technical deliverables, contribute to the technical design, and provide technical oversight.
• Construct proof of concepts and offer guidance on implementation.
• Develop, maintain, and document representative models to meet the needs of internal customers.
• Address and resolve technical issues, providing remediation as needed.
• Estimate solution development requirements, including technical planning, refinement, and dependencies.
• Encourage a collaborative, team-oriented atmosphere, share knowledge, and appreciate the value of varied perspectives.
• Offer technical expertise, mentorship, and motivation to team members.
• Promote a culture of continuous improvement, learning, innovation, and deployment.
• Engage with cross-functional and product teams, business segments, internal and external technical experts, architects, and third parties on scope, requirements, solutions, data, and services.
• Maintain regular communication with stakeholders to discuss their adoption trends, feedback, and opportunities for deeper engagement.

About You:

You are an outstanding candidate for the role of Software Engineering Manager – AI/ML (Recommender Systems) if you have:

• Over 8 years of experience in solving real-world machine learning problems, enhancing user efficiency, reliability, and consistency with ML applications and Recommender Systems.
• A background in people management responsibilities.
• A deep understanding of data processing, ML systems, MLOps, and machine learning infrastructure components.
• At least 3 years of experience with public cloud technology (AWS, GCP, Azure), with a preference for AWS, including services, DevOps/MLOps, networking, and security principles.
• Direct experience in machine learning orchestration, creating complex multi-tenant ML products.
• Proficiency in Python programming, SQL, and data modeling, with experience in DBT being beneficial.
• Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other ML libraries.
• A history of leading and supporting customer Engineering teams in adopting products for data and/or machine learning.

What's in it for you?

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.

#LI-FP2

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.

Accessibility

As 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.

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