Senior Staff Machine Learning Scientist
hace 2 semanas
Job DescriptionWe are looking for a highly motivated Senior Staff Machine Learning Scientist (NLP) to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20+ scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.Your global responsibilities will include (but will not be limited to):Innovating by adapting new machine learning algorithms and recent advances in generative AIPromoting best practices in machine learning and mentoring junior team membersLeading functional teams and projects to accelerate the adoption of technology and AI within the organizationBuilding, benchmarking, and maintaining machine learning models and identifying data annotation effortsLeveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutionsStaying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business valueStaying on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadisQualificationsEducation and experiencePhD degree in quantitative discipline (e.g., Statistics / Applied Math, Artificial Intelligence, Computer Science, Data Science)10+ years of overall experience in machine learning and NLPExperience in leading end-to-end NLP projects, from design to implementation to integration, and applying best software development practicesExpert 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 academiaAdvanced 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 leadExperience in publishing at top-tier NLP conferences (e.g., ACL, EMNLP) and contribution to open source software development is considered a plusExperience of cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers) is a plusSkills, abilities and work standards:Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection.Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals.Authentic - Being honest and authentic in communication, feedback and strategy.Results-driven - Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals.Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources.Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success.Additional InformationLocation: Barcelona or Remote from SpainContract: PermanentStart date: ASAPOur growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one.This includes extensive onboarding, teammates' support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old onesWorking organization benefits:Casual and very friendly work environmentHybrid work organization (from the office or from home)Flexible working hoursHome office allowance programIT equipment allowanceWorking from anywhere policyOpportunity to work in a truly international atmosphereCompensation benefits:Base salary + variable compensation planGRSP and TFSA matching program availableMeals and Transportation Vouchers (Cobee card)Wellness and Healthcare benefits:Health, Wellness, and Dental BenefitsMore:Employee referral bonus policyPaid employee volunteer dayPaid moving day (1/year)Access to online learning libraryVirtual and in-person team building eventsCo-working space with various services + opportunity to work in different locations (Europe and International)Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application. A new job with purpose awaits youDon’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).
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