Location Details: London, United Kingdom
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
Are you passionate about Machine Learning? Join our DnAI team at GoDaddy as a Senior Machine Learning Scientist (MLS 3) and help make a difference for small businesses! We contribute to innovative machine learning models for Pricing + Bundling and Generative AI projects. Collaborate with ML engineers to develop ML pipelines and ensure the quality and reliability of our ML solutions.
What you'll get to do...
- Develop and implement sophisticated algorithms for Pricing and AI projects using PyTorch
- Craft and refine ML models to improve their performance, scalability, and adaptability
- Analyze and interpret complicated data sets to advise model development and ensure accuracy and efficiency
- Stay abreast of the latest developments in ML and artificial intelligence, integrating new methodologies and techniques as appropriate
- Collaborate across multiple teams to integrate ML solutions within broader product and platform initiatives
- Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments
- Drive the exploration and adoption of brand new ML technologies to maintain our competitive edge in the industry.
Your experience should include...
- 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles
- Proficient in Python programming language
- Solid understanding of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc
- Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker
- Ability to work independently and collaboratively with multi-functional teams with excellent communication and presentation skill
- Experience in writing unit tests and documentation for ML code
- Familiarity with software engineering standard methodologies, such as version control, code review, CI/CD, etc
You might also have...
- Master's degree or equivalent experience in computer science, engineering, statistics, or related fields
- Experience in working with large-scale and sophisticated data sets
- Experience in applying machine learning to domains such as e-commerce, finance, health care, etc
- Experience in using ML tools such as Mlflow for model lifecycle management
- Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn
- Familiarity with timely engineering and large language models (LLM) is a plus
- Proficiency in multiple programming languages
- Understanding of 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.
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