West Publishing Senior Applied Scientist, NLP Eagan , Minnesota Apply Now
Senior Applied Machine Learning Scientist Are you excited about working at the forefront of applying machine learning to real world software problems in Legal, Tax, Compliance, and News? Thomson Reuters Labs in Toronto and Minneapolis seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering counterparts. What does Thomson Reuters Labs do? We experiment, we build, we deliver.
We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers.
As a scientist in Labs you will be part of a global interdisciplinary team of experts. We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways. About the role As a Senior Applied Machine Learning Scientist, you will:
Experiment and Develop:
You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery. Collaborate:
Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. Deliver:
With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables. Innovate:
You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data. Inspire:
You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise. About you You're a fit for the role of Senior Applied Machine Learning Scientist if your background includes:
PhD in a relevant discipline or Master's or Bacehlor's with a comparable level of experience (7+ years for Master's or 10+ years for Bachelor's) At least five years practical, relevant experience building AI/ML products and applications Solid software engineering and / or data engineering skills for prototyping Experience as a technical leader, leading aspects of the following:
Aiding in the ideation with product stakeholders Comfort in dealing with uncertainty and ambiguity in problem statements and paths to success Breaking down complex problems into tractable components with iterative improvements Formulating research and development plans Coordinating and guiding the work of others Communication of progress and plans with varied stakeholders Preferred qualifications 8+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry Demonstrated ability to translate cutting edge research into working prototypes Experience in a fast-paced, agile environments managing uncertainty and ambiguity Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders Diverse experiences across problem spaces, companies and cultures What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
Hybrid Work Model:
We've adopted a flexible hybrid working environment 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,…
