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 TeamOur core machine learning team applies large-scale data to power various business areas, and our goal is to build cohesive navigation experience across channels and web pages, to help simplify and improve the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website. We will roll up our sleeves to build best in class of personalization to offer most relevant products and prices at the right time. Your contributions will affect millions of our customers and will have a direct impact on our business results. Whether you’re passionate about crafting highly scalable systems or developing seamless customer experiences, we have a role for you. Join us and build the future of software at GoDaddy!What you'll get to do...• You will provide technical leadership, identify and evaluate new technologies, tools, and frameworks and incorporate them into the team's workflow and processes.• You will coordinate large scale and complex machine learning projects in production and cooperate with various teams to define project scope, goals, and success metrics.• You will collaborate extensively with internal partners, program management, and engineering team to ensure that solution meet business needs, permit valid inferences and have functional feasibility.• You will communicate results in a comprehensible manner to all levels of the company.• You will mentor junior scientists in the team.Your experience should include...• 6+ years of industrial experience in deep learning and software development, with strong algorithm design skills.• Hands-on experience with Deep Neural Network technologies, LLMs, and agentic AI.• Proficient in programming languages such as Python or Java.• Experience with machine learning platforms (e.g., PyTorch) and AWS.• Familiarity with large-scale data analytics (e.g., Spark) and an MS or PhD or equivalent experience in computer science or a related quantitative field is required.

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