Machine Learning Engineer ofertas em United States

Posted on April 04, 2025 by Employer details Thomson Reuters

Position Title: Machine Learning Engineer (Research Engineer)
Duration: 12 months duration, potential to extend beyond that
Location: Canada / US - hybrid ideal - open to remote (Starting in Toronto hybrid - 19 Duncan St).
Hours: 37.5 hours a week (9-5 hours)
Interview Process: ML Technical Interview and 1 behavioral

Description: Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Responsible AI group is seeking a Research Engineer with a passion for solving challenging machine learning problems in a data-rich, complex and innovative environment. As a Research Engineer - Responsible AI, you will be part of enhancing the quality and robustness of AI systems using synthetic approaches and will collaborate with a diverse global team of experts across Thomson Reuters business segments. You will have the opportunity to contribute to data curation and evaluation systems, grounding systems in Responsible AI best practices and combining the best of real-world scalable data processing systems with the latest insights into what training data leads to the best LLMs.

We are seeking an experienced Research Engineer to join the Responsible AI team in a new program focused on improving AI systems through the enhancement of content using synthetic data generation approaches and agentic systems to train and test generative AI models. This role requires someone who is a self-motivated problem starter with a startup mindset, capable of wearing multiple hats and thriving in a dynamic environment.

In this opportunity as a Research Engineer - Responsible AI, you will:

1. Innovate: Work at the cutting edge of AI at an institution with some of the richest data sources in the world. Help make the best use of this resource through data curation, generation, and evaluation to improve training data. Develop novel performance-driven data sub-selection methods using the latest training insights from business partners and subject matter experts.
2. Engineer and Develop: Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. Ensure robust, testable development through source control and solid back-up systems for data versioning.
3. Collaborate: Work with a global team of subject matter experts within Thomson Reuters. Engage closely with world experts in legal, tax and accounting, and news domains to provide feedback and evaluate outputs to accelerate model training and evaluation.

You’re a fit for the role of Research Engineer if your background includes:

• Relevant degree in a technical discipline
• Experience with applied machine learning (e.g., few-shot learning, training NLP classifiers)
• Excellent programming, debugging, and system design skills
• Highly proficient in Python
• Experience with web app development (Streamlit, Flask, Django)
• Experience in prompt engineering for LLMs (OpenAI, Claude, Llama)
• Excellent communication skills, both oral and written
• Self-driven with the ability to work independently
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra)
• Experience with cloud-based data platforms (AWS, GCP, or Azure: S3, BigQuery, Azure Data Lake Storage)
• Comfortable in fast-paced, agile environments; able to manage uncertainty and ambiguity

• Experience with differential privacy techniques
• Experience with data visualization tools
• Knowledge of data governance and privacy policies (GDPR, EU AI Act, AIDA)
• Knowledge of Responsible AI frameworks and AI ethics
• Ability to communicate with multiple stakeholders, including non-technical subject matter experts
• Strong software/infrastructure engineering skills (e.g., contributions to open-source libraries)
• Knowledge of legal, or tax and accounting domains is a plus

Full-time

$66.00-$77.00 per hour

• Location: Toronto, ON
• Workplace information: Hybrid
• Salary: $66.00 to $77.00 HOUR hourly
• Terms of employment: Full time
• Starts as soon as possible
• Vacancies: 1 vacancy

View the full job posting on indeed.com