Senior Machine Learning Scientist at GoDaddy Job in Colombia Recruiting by Serendeputy

At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days), and some work entirely remotely.This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or offsites.Join Our TeamOur team is part of GoDaddy’s global engineering organization, and our goal is to build and grow a community of ML scientists and engineers to learn, share, and grow. We are committed to understanding all major business units, and we thrive on empowering business results by leveraging state-of-the-art ML algorithms to enhance the effectiveness of our online tools which enable small business owners to easily build and manage their online store, provide suggestions for social media content to drive traffic, and get relevant answers to their questions for the GoDaddy team.What you'll get to do…Articulate and understand a business problem, identify challenges, formulate the ML/NLP/GenAI problem and design and/or prototype solutions.Provide technical leadership, identify, and understand key business challenges and opportunities, and develop end-to-end software solutions using ML and AI.Collaborate extensively with internal partners, program & product management, and engineering teams to ensure the solution meets business needs, emits valid inferences, and is maintainable.Collect and process large volumes of data and build new and improved techniques and/or solutions for data collection, management, and usage.Communicate results in a comprehensible manner to all levels of the company, including VPs and above.Design and build systems which allow for swapping of new foundational models and keep pace with this rapidly evolving field.Brainstorm and share knowledge with other team members to improve the team’s collective skills.Your experience should include…5+ years of experience with a strong background in both machine learning, Neural Network model development, and software development.2+ years’ experience of working with live data (data cleaning, data visualization, and modeling).Strong algorithm design and programming skills in at least one compiled language like C++/Java/Scala, and one interpreted language like Python/R.Experience with distributed computing (Hadoop/Spark).Experience managing the complete life-cycle of an ML model – from concept to ongoing ML operations.Passion for solving interesting and meaningful real-world problems using principled techniques and best practices.Passion for collaboration and teamwork.Experience documenting, synthesizing, and communicating results.You might also have…Ph.D. or MS in computer science or equivalent quantitative fields.Hands-on NLP experience.We've got your back... We offer a range of benefits that may include paid time off, retirement savings (e.g., 401k, pension schemes), incentive eligibility, equity grants, participation in an employee stock purchase plan, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process. We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture ). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us .At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can befound on our Diversity Careers page .GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.Refer to our full EEO policy. Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.Explore more AI, ML, Data Science career opportunitiesFind even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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