Machine Learning Engineer

Machine Learning Engineer 

Are you a curious, smart, self-driven ML professional who loves the challenge of turning complex problems and constraints into elegant solutions that meet a customer’s needs? We are looking for ML engineer to join a new and growing Technology Innovation team that has been tasked with driving technology transformation at Reuters News division. Our team’s goal is to apply emerging technologies, like Video Analysis, Image Recognition and NLP, to the plethora of text, image and video data created by Reuters News editors in order to streamline content generation processes and support creation of new B2B and B2C client facing products. We are looking for ML engineer excited to work with abundance of text, image and video data in collaboration with other specialists, applying state-of-the-art models to create innovative solutions to challenging business problems. As ML engineer, you will work closely with data scientists, software engineers, product owners and editorial desks to develop, grow, transform and re-imagine our business.

About Thomson Reuters

You might be familiar with Reuters News, which is one of the 5 biggest media companies in the world. Reuters has been capturing the stories that matter most for over 170 years: Every year, we report 2+ million unique news stories, 1.4+ million news alerts, 770,000 pictures and images, 117,000+ video stories, 4,700+ expert views. You might not know is that Thomson Reuters is also one of the leading sources of information for 98% of North American legal firms and the vast majority of the Fortune 100.

How much data do we have? Over 60,000 TBs worth of legal, regulatory, news, and tax. That’s about 20,000 times more data than exists in Wikipedia.

Thomson Reuters has long invested in machine learning to help our customers do everything from quickly find the documents they are looking for to answering specific questions to predicting stock movements.

We are capitalizing on our decades of machine learning experience to push the envelope of what is possible using the latest cutting-edge techniques in Computer Vision/NLP/AI.

Key Responsibilities

• Interact with business stakeholders to understand their challenges, develop hypotheses and prototype solutions to real world problems using innovative computer vision and/or machine learning techniques.
• Design, implement and validate developed ML algorithms.
• Evaluate, fine-tune and optimally stack microservices, and set up performance monitoring systems
• Applicant should be able to quickly spot errors, remove obstacles, and provide guidance when research progress slows.
• Demonstrating successful mentorship of junior team members and delegation of tasks to other team members to further plan execution, as appropriate.
• Collaborate with product, editorial and technology teams to move your solutions into production.

Qualifications and Experience

• 2+ years of relevant experience in E2E building and deploying machine learning models and/or systems. 
• Masters (or PhD) in a data-heavy technical field, such as Computer Vision, Computer Science, Engineering, Statistics, Mathematics, or other data-heavy discipline.
• Proficient functional programming skills in a high-level language (e.g. Python), 
• Relevant experience with cloud computing (AWS, Azure) is a bonus,
• Development and ownership of E2E ML pipelines and prototyping solutions
• Project-based experience with at least one of following tools:
  • Traditional image processing and learning (e.g. SIFT, SURF, Bag-of-features, Fisher Vector etc.)
  • Expertise in at least one area of visual image enhancement, semantic understanding and reasoning of images (e.g., intelligent scene recognition, saliency detection, image semantic, color balance, image super-resolution and denoising, OCR, image search and image captioning, etc.) 
  • Supervised and unsupervised machine learning (e.g. libSVM, Shogun, Scikit-learn or similar) and deep learning
  • Statistical data analysis and experimental design (e.g., using R, Matlab, iPython, etc.)
  • Information retrieval and search engines, e.g. Solr/Lucene
  • Distributed computing platforms, such as Hadoop (Hive, HBase, Pig), Spark, GraphLab
  • Databases (traditional and noSQL).
• Experience with working in cross-functional teams, for example, collaboration with engineering and product teams to move your solutions into production
• Engagement and communication with stakeholders
• Ability to translate the latest technical papers into implementations addressing our use cases.
• Experience with statistical data analysis, experimental design, and hypotheses validation.
• Must be a self-motivated, lifelong learner, who is passionate about turning new ideas into solutions for clients.
• Excellent oral and written communication skills.

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: Currently, as part of our COVID-19 response, our employees are working remotely and following local COVID-19 bylaws and guidelines with the majority of our offices planning to remain remote throughout 2021. Upon return, we will embrace a hybrid work environment consisting of in-office and remote work. 

• Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. 

• Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing. 

• 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. 

#LI-RN1

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. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

Accessibility

As 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. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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More information about Thomson Reuters can be found on thomsonreuters.com.