Senior Machine Learning Scientist

Australia

GoDaddy

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Location Details: Australia, Remote

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 remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join our Team

GoDaddy is looking for a Senior Machine Learning Scientist to join our Generative AI and Machine Learning Team. We are using the latest generative AI models and technologies to accelerate the success of over 20 million small business entrepreneurs globally. Our team has built and deployed at-scale generative AI solutions in the area of social media post and video creation, logo generation and conversational experiences. 

As a Senior Machine Learning Scientist, you will be part of a global team, and use generative AI and Machine Learning models to improve existing customer-facing products, as well as build innovative new experiences, that will have a direct impact on the businesses of millions of entrepreneurs!

What you'll get to do...

  • Build Generative AI models and applications for intelligent business applications, social media post and design applications, logo generation systems, intelligent assistants and conversational experiences and more
  • Provide technical leadership, identify and understand key business challenges and opportunities, and develop end-to-end software solutions using ML and AI
  • Articulate and understand a business problem, identify challenges, formulate the ML problem and provide/prototype solutions
  • Collaborate extensively with internal partners, program management, and engineering team to ensure that solutions meet business needs
  • Collect and process large volumes of data; build new and improved techniques and/or solutions for data collection, management, and usage
  • Communicate results in a comprehensible manner to all levels of the company
  • Brainstorm and collaborate with other team members

Your experience should include...

  • 5+ years of experience in an industry role in Machine Learning
  • 5+ years of experience working with live data (data cleaning, data visualisation and modelling)
  • Hands-on experience with Deep Learning Neural Network technologies and training and fine-tuning models (PyTorch or TensorFlow)
  • Hands-on experience working with Natural Language Processing (NLP) and Transformer model architectures
  • Strong experience working with Computer Vision models
  • Strong experience with Python
  • Experience working in an agile environment, and iteratively deploying AI / Machine Learning systems iteratively 
  • Experience with documenting, synthesising, and communicating results
  • Ability to read and implement ground breaking techniques, algorithms and models from academic papers and industry

You might also have...

  • Bachelor’s Degree in Computer Science, Engineering, or a related field
  • Experience with working with frontier Large Language Models (LLM) such as OpenAI/Anthropic, etc.
  • Experience building information search, retrieval and ranking systems and recommendation systems
  • Experience with data engineering and building data pipelines and working with data lakes (e.g. Airflow)
  • Experience with Image Diffusion models such as Stable Diffusion
  • Experience working with Cloud Technologies such as AWS (e.g. SageMaker, Glue, etc.) and using Infrastructure as Code to deploy solutions

We've got your back...  We offer a range of benefits that may include paid time off, retirement savings (e.g., 401k, pension schemes), incentive eligibility, equity grants, participation in an employee stock purchase plan, 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow Anthropic Architecture AWS Computer Science Computer Vision CX Data pipelines Deep Learning Diffusion models Engineering Generative AI LLMs Machine Learning ML models NLP OpenAI Pipelines Python PyTorch SageMaker Stable Diffusion TensorFlow

Perks/benefits: 401(k) matching Career development Equity Parental leave Team events

Regions: Remote/Anywhere Asia/Pacific
Country: Australia
Job stats:  18  4  0

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