Senior Applied Research Scientist
1 week ago
About the Role:
We are seeking a highly skilled Senior Applied Research Scientist to join our team at Thomson Reuters Labs in Toronto. As a key member of our interdisciplinary team, you will be responsible for driving the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.
Key Responsibilities:
- 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.
- 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 this role if your background includes:
- PhD in a relevant discipline or Master with a comparable level of experience.
- At least 5 years practical, relevant experience building NLP/IR/ML systems, from ideation to production.
- Solid software engineering skills for prototyping.
- Professional experience as a technical leader, translating complex business problems into projects with clearly defined scope, coordinating and guiding the work of others.
Preferred Qualifications:
- 8 years practical experience building IR, ML or NLP systems in academia or industry.
- Demonstrated ability to translate cutting-edge research into working prototypes and experience experimenting with novel IR or NLP models to solve real-world problems.
- Experience in fast-paced, agile environments managing uncertainty and ambiguity.
- Outstanding communication and data-driven decision-making collaboration with Product and Business Stakeholders.
- Proficiency in Python, Java, or Scala and experience delivering minimum viable products in large enterprise environments.
- Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD or similar.
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:
- 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: Eight 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. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
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