Don&rsquo;t miss GoDaddy's exclusive in-house event, designed for women in tech to engage in an insightful panel discussion and networking session. This is your chance to connect with industry leaders, exchange ideas, and better understand how GoDaddy fosters a dynamic and inclusive work culture. Known for championing diversity, equity, and belonging, GoDaddy thrives on different perspectives to drive innovation and success.
This event isn't just an opportunity to learn from inspiring professionals&mdash;it could also be your pathway to joining GoDaddy&rsquo;s growing team of talented tech experts.
Register now and make meaningful connections that might lead to your next big career move with GoDaddy.
AGENDA:
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<td style="width: 473px;">6:00 PM - 6:30 PM</td>
<td style="width: 801.781px;">Welcome</td>
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<td style="width: 473px;">6:30 PM - 7:30 PM </td>
<td style="width: 801.781px;">Panel Discussion with Leaders on Career, Growth, and Inclusion in the Workplace</td>
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<td style="width: 473px;">7:30 PM - 8:00 PM </td>
<td style="width: 801.781px;">Closing Note</td>
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About GoDaddy
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&nbsp;<a href="https://aboutus.godaddy.net/about-us/overview/default.aspx" data-saferedirecturl="https://www.google.com/url?q=https://aboutus.godaddy.net/about-us/overview/default.aspx&amp;source=gmail&amp;ust=1728456700152000&amp;usg=AOvVaw0zrRXfmLEI7v_6i343squX">About Us</a>

GoDaddy Women in Technology Networking Event

We are GoDaddy

GoDaddy

Ashwini Siddhi

You Belong Here at GoDaddy

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.Hybrid: This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.Join our Team…If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Engineer. You will have the opportunity to enable modern machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled scientists in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as tackle technical problems in model evaluation, simulation and more.What you'll get to do...• Implement and scale advanced machine learning algorithms, including building intelligent software using Large Language Models (AI Agents).• Experiment with and deploy efficient model inference techniques.• Build, deploy and maintain model serving APIs for real-time and batch use cases.• Assess, build and curate comprehensive evaluations for open-ended Generative AI problems.• Collaborate with multi-functional teams to integrate ML solutions within broader product and platform initiatives.• Drive the exploration and adoption of modern ML technologies to maintain our competitive edge in the industry.Your experience should include...• 6+ years of experience in machine learning related roles.• Solid understanding of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.• Must have familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.• Skilled in Python programming language with knowledge of software engineering guidelines, including version control, code review, CI/CD, etc.• Proficiency with prompt engineering and LLMs, along with experience in building and scaling APIs.You might also have...• Degree in computer science, engineering, statistics, or related fields, with 4+ years of experience in machine learning related roles.• Experience in fine-tuning models and optimizing inference.• Experience in crafting comprehensive evaluations and verification methods.• Proficiency in Typescript is a plus.

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