Senior Staff Machine Learning Scientist - NLP

4 hours ago

Apply Now

Receive Emails with Similar Jobs

EcoVadis

WebsiteLinkedInAll Job Openings

Responsible Sourcing • Corporate Social Responsibility • Sustainability • Supply Chain • Sustainable Procurement

1001 - 5000

💰 Secondary Market on 2022-11

Description

• Looking for a highly motivated Senior Staff Machine Learning Scientist (NLP) • Responsible for using machine learning and natural language processing to drive innovation across the organization • Accelerating positive impact on our planet and society • Innovating by adapting new machine learning algorithms and recent advances in generative AI • Leading functional teams and projects to accelerate the adoption of technology and AI within the organization • Building, benchmarking, and maintaining machine learning models • Leveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions • Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value • Staying on top of technology trends in AI

Requirements

• PhD degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science) • 10+ years of overall experience in machine learning and NLP • Experience in leading end-to-end NLP projects, from design to implementation to integration, and applying best software development practices • Expert knowledge of machine learning from forecasting to architectures used in NLP, such as transformers and RNN models, conversational AI and NLP (e.g., question answering, information retrieval, machine translation) with a proven track record in industry and academia • Advanced knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch) • Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead • Experience in publishing at top-tier NLP conferences (e.g., ACL, EMNLP) and contribution to open source software development is considered a plus • Experience of cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers) is a plus

Benefits

• Casual and very friendly work environment • Hybrid work organization (from the office or from home) • Flexible working hours • Home office allowance program • IT equipment allowance • Working from anywhere policy • Opportunity to work in a truly international atmosphere • Base salary + variable compensation plan • GRSP and TFSA matching program available • Meals and Transportation Vouchers (Cobee card) • Health, Wellness, and Dental Benefits • Employee referral bonus policy • Paid employee volunteer day • Paid moving day (1/year) • Access to online learning library • Virtual and in-person team building events • Co working space with various services + opportunity to work in different locations (Europe and International)