# Generative AI and Machine Learning Engineer

**Company**: Thomson Reuters
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $136,000 USD - $253,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-McLean-Virginia/Generative-AI---Machine-Learning-Engineer_JREQ193871?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a75ec47c-0c5

## Description

We are seeking a Generative AI and Machine Learning Engineer to support product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps.

As a Generative AI and Machine Learning Engineer, you will:

- Experiment and Develop: Drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.

- Collaborate: Work on a collaborative cross-functional team, sharing information, valuing diverse ideas, and partnering effectively with colleagues across the globe.

- Deliver: Translate complex business problems into projects with clearly defined scope, and be accountable for timely, well-managed deliverables.

- Innovate: Try new approaches, learn new technologies, and foster innovative ideas to solve real-world challenges.

- Inspire: Be a proactive communicator, sharing your work and ideas with both technical and non-technical audiences.

Requirements:

- Master's or Bachelor's in a relevant discipline.

- Proficiency in Python.

- At least 3+ years practical, relevant experience building AI/ML products and applications.

- Solid software engineering skills and experience.

- Experience as a technical leader.

- Ability to obtain and maintain a U.S. national security clearance.

- U.S. Citizenship.

Preferred skills and tools:

- 6+ years practical experience using AI and ML.

- Experience with AI Agent frameworks and patterns.

- Familiarity with common NLP use cases.

- Familiarity with LLM training and efficient finetuning.

- Experience with NLP/CV libraries.

- Experience using Cloud solutions.

- Experience in a fast-paced, agile environment.

Benefits:

- Hybrid Work Model.

- Flexibility & Work-Life Balance.

- Career Development and Growth.

- Industry Competitive Benefits.

- Culture.

- Social Impact.

- Making a Real-World Impact.

The base compensation range for this role is $136,000 USD - $253,000 USD.

## Skills

### Required
- Python
- AI
- Machine Learning
- Software Engineering
- Technical Leadership

### Nice to have
- AI Agent frameworks
- NLP
- LLM training
- Cloud solutions
- Agile environment

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Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-McLean-Virginia/Generative-AI---Machine-Learning-Engineer_JREQ193871?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)