Senior Applied Machine Learning Scientist

Key Skills

Aartificial intelligence, Data Engineering, Effective communication skills, Employee life cycle, Java Programming, Machine learning techniques, Python Programming, Scala Programming

Job Description

As a Sr Applied Machine Learning Scientist in TR 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 and. 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

• Master’s or Bachelor's with a comparable level of experience (7+ years for Master’s or 10+ years for Bachelor’s) or PhD in a relevant discipline 
• At least 5 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:

• Technology: Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
• 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: global minimum parental leave, 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; enterprise-wide company learning days, 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. 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.