Applied Ml Scientist

**Applied ML Scientist**

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 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**
- Basic qualifications_
- PhD in a relevant discipline or Master’s or Bachelor’s with a comparable level of experience
- Proficiency in Python
- 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
- Should have led AI/ML projects in current role and should have the experience in Designing, developing, and implementing machine learning models and algorithms.
- Preferred qualifications_
- 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry
- Have familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling.
- Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)
- Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers, OpenAI, LangChain, Semantic Kernel & OpenCV
- Experience in using Cloud solutions (AWS, Azure, etc.) for building and deploying data science solutions
- Demonstrated ability to translate cutting edge research into working prototypes
- Experience in a fast-paced, agile environments managing uncertainty and ambiguity
- Proficiency in Python 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 (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 pr