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.

REQUIRED QUALIFICATIONS:

• 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

PREFERRED QUALIFICATIONS:

• 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
  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
  The pay range that the employer in good faith reasonably expects to pay for this position is $66-77hr CAD.
  Our opt-in benefits can include medical, dental, vision and retirement benefits.
  Applications will be accepted on an ongoing basis.
  Tundra Technical Solutions (the operator of this Talent Community) is a global leader of contingent talent services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations

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.