Senior Machine Learning Scientist

Reposted 4 Days Ago
Be an Early Applicant
Gurugram, Haryana, IND
In-Office
Senior level
Information Technology • Marketing Tech • Social Media
The Role
Lead development and deployment of advanced ML and generative AI solutions (LLMs and AI agents) to improve customer experience and personalization. Design, implement, and refine scalable, robust models, build evaluation frameworks for generative tasks, and collaborate cross-functionally to integrate ML into products and platforms.
Summary Generated by Built In

Location Details: Gurugram

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 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 Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.

What you'll get to do...

  • Develop and implement advanced machine learning algorithms. 
  • Build Intelligent Software using Large Language Models (AI Agents). 
  • Design and refine ML models to enhance their performance, scalability, and robustness. 
  • Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems. 
  • Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives. 
  • Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry. 

Your experience should include...

  • 6+ years of overall experience in machine learning related roles.
  • Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc. 
  • Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code. 
  • Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc. 
  • Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).

You might also have...

  • Experience building conversational systems. 
  • Experience in designing comprehensive evaluations and verification methods. 
  • Proficiency in Typescript is a plus.

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, 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. 

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

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 be found 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 [email protected]. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Skills Required

  • 6+ years of overall experience in machine learning related roles.
  • Strong knowledge of machine learning algorithms, tools, and techniques (supervised and unsupervised learning, deep learning, computer vision, NLP).
  • Proficient in Python and familiar with software engineering best practices (version control, code review, CI/CD).
  • Proficiency with prompt engineering and large language models (LLMs) and NLP.
  • Familiarity with AI-assisted coding tools such as Cursor, Claude Code, or VS Code.
  • Experience building conversational systems.
  • Experience designing comprehensive evaluations and verification methods for generative AI.
  • Proficiency in Typescript.

GoDaddy Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GoDaddy and has not been reviewed or approved by GoDaddy.

  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with disability and life insurance, fertility support, an Employee Assistance Program, and wellness resources like gym discounts and virtual therapy. HSAs/FSAs and preventive care options further bolster the package.
  • Leave & Time Off Breadth Unlimited vacation, paid parental leave, adoption assistance, childcare subsidies, paid holidays and sick time, and volunteer time are available. Sabbaticals and wellness days provide additional flexibility for time away.
  • Equity Value & Accessibility RSUs, company stock grants, and an Employee Stock Purchase Program augment cash pay. Engineering compensation includes stock components that increase total rewards.

GoDaddy Insights

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The Company
HQ: Tempe, AZ
10,000 Employees
Year Founded: 1997

What We Do

GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. 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 the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.)

Why Work With Us

We’re the world’s largest web services platform. Our mission is to make opportunity more inclusive for all and fuel a new generation of entrepreneurial endeavors — commercial, civic, creative. Join our diverse collective of 9k+ employees across 47 global locations.

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