Machine Learning Scientist (Engineer)

Location Details: 

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.​

We hire for remote roles across India and hire in Pune and Gurgaon for hybrid and onsite roles. 

Join Our Team 

Are you passionate about machine learning and eager to make an impact in the world of small businesses? At GoDaddy, we’re looking for Machine Learning Scientists to join our Data and Artificial Intelligence team. You will help/lead the development of cutting-edge ML models for Pricing and Generative AI projects, collaborating with ML engineers to build robust pipelines that solve meaningful challenges. Your expertise will help ensure the reliability, quality, and scalability of our machine learning solutions, as you work alongside platform teams to deliver real-world impact. 

Evergreen Opportunity Across Multiple Levels 

This is an evergreen job posting, meaning we’re always seeking talented Machine Learning Scientists to join our team at various levels. Whether you’re mid-level building your expertise or senior level ready to lead impactful projects, we have opportunities that match your skills. 

Your level will be determined through our interview process, where we assess your skills, technical capabilities and potential for growth. We welcome candidates from diverse backgrounds and experiences to apply. 

What you'll get to do...

• Design and implement advanced machine learning algorithms for Pricing and Generative AI projects using PyTorch and TensorFlow 
• Develop and deploy machine learning models using Python and other state-of-the-art ML frameworks
• Build APIs to deliver real-time and batch-mode predictions to customers, leveraging AWS, Docker, and cloud technologies
• Monitor and optimize the performance, accuracy, and reliability of our ML solutions with logging, metrics, and dashboards
• Research and evaluate new ML techniques to enhance existing solutions and discover new opportunities
• Fine-tune models to improve performance, scalability, and adaptability
• Analyze complex datasets to inform model development and ensure accuracy
• Stay at the forefront of advancements in machine learning and AI, incorporating new methodologies as needed
• Collaborate with cross-functional teams to integrate ML solutions into broader product and platform initiatives
• Contribute to the development of standardized processes for model evaluation, validation, and production deployment
• Lead the exploration and adoption of innovative ML technologies, maintaining our competitive edge 

Your experience should include...

• Mid-Level: 4+ years of experience, including 2+ years in machine learning or related fields 
• Senior-Level: 7+ years of industry experience in software engineering and 4+ years in machine learning or related fields
• Proficiency in Python and machine learning algorithms, with experience in supervised/unsupervised learning, deep learning, NLP, and computer vision
• Experience deploying and monitoring ML models in production using AWS services such as SageMaker
• Hands-on experience building APIs for ML model serving with frameworks like Flask, FastAPI, or Django
• Strong understanding of software engineering best practices (version control, CI/CD, code reviews)
• Ability to work both independently and collaboratively in cross-functional teams
• Experience writing unit tests and documentation for ML code 

You might also have...

• Experience working with large-scale, complex datasets 
• Applied machine learning experience in industries like e-commerce, finance, or healthcare
• Familiarity with ML lifecycle management tools such as MLflow, Kubeflow, or Airflow
• Expertise with common ML libraries like TensorFlow, PyTorch, Keras, and Scikit-learn
• Hands-on experience with large language models (LLMs) and prompt engineering
• Proficiency in multiple programming languages
• Familiarity with containerization technologies like Docker and orchestration tools like Airflow 

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. 

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 myrecruiter@godaddy.com. 

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