Refinitiv
Senior Research Engineer (Foundational Research, Machine Learning)
Refinitiv, Frisco, Texas, United States, 75034
Senior Research Engineer (Foundational Research, Machine Learning)
Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Research Engineer with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.About the RoleIn this opportunity, as Senior Research Engineer you will:Innovate : You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available.Engineer and Develop : You can be involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks that enable your colleagues to do world-class research.Collaborate : Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities.About YouYou're a fit for the role if your background includes:Required Qualifications:Relevant degree in a technical discipline.Work experience in a challenging engineering setting, building high-quality software frameworks for research.Excellent programming, debugging and system design skills.Excellent communication skills to report and present software designs and findings clearly, both orally and in writing.Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.Self-driven attitude and ability to work with limited supervision.Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.Preferred Qualifications:Contributions to publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.Experience working on relevant state-of-the-art engineering topics relevant to large language model (LLMs) research such as distributed computing, building of scalable data pipeline systems, automated evaluation systems or in-depth knowledge of GPUs and parallel computing platforms such as CUDA.Previous experience working on large-scale machine learning systems.Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.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.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.AccessibilityAs 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.
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Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Research Engineer with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.About the RoleIn this opportunity, as Senior Research Engineer you will:Innovate : You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available.Engineer and Develop : You can be involved in the entire research & model development lifecycle, brainstorming, designing, building, and delivering high-quality software frameworks that enable your colleagues to do world-class research.Collaborate : Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities.About YouYou're a fit for the role if your background includes:Required Qualifications:Relevant degree in a technical discipline.Work experience in a challenging engineering setting, building high-quality software frameworks for research.Excellent programming, debugging and system design skills.Excellent communication skills to report and present software designs and findings clearly, both orally and in writing.Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.Self-driven attitude and ability to work with limited supervision.Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.Preferred Qualifications:Contributions to publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.Experience working on relevant state-of-the-art engineering topics relevant to large language model (LLMs) research such as distributed computing, building of scalable data pipeline systems, automated evaluation systems or in-depth knowledge of GPUs and parallel computing platforms such as CUDA.Previous experience working on large-scale machine learning systems.Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.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.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.AccessibilityAs 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.
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