Senior Software Development Engineer
Summary
Remote-from-Colombia senior ML engineer on GoDaddy's Commerce Data & ML team: build and maintain production ML pipelines (batch and real-time) for fraud/risk scoring and customer insights, using AWS SageMaker, Tecton, MLflow, Glue and Python, plus emerging LLM/prompt-engineering workflows.
Location Details: Colombia, 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.
The Commerce Data & ML team is at the core of powering intelligent and secure experiences for GoDaddy’s Commerce division. Partnering with the Data Science team, we support a wide range of machine learning and data engineering efforts that help GoDaddy Commerce understand its customers, prevent fraud, and tailor product experiences. We work closely with the Risk team to build and maintain production ML Risk Models, such as Transaction Risk Scoring and Merchant Risk Models. We also collaborate with the Growth team to enable data-driven marketing and customer segmentation through reliable pipelines and predictive models.
We’ve evolved a robust ML platform built on SageMaker Pipelines, Tecton feature store, Glue, GitHub Actions, and MLflow - with support for both batch and real-time inference. Also, recently, we’ve begun developing prompt engineering workflows for LLM-powered chatbots. As a Senior Machine Learning Engineer on the Commerce Data & ML team in Bulgaria, you will play a key role in building production-grade pipelines and scalable ML systems that support fraud mitigation, customer insights, and AI-driven experiences.
What you'll get to do...
- Design, build, and maintain robust ML pipelines for both batch and real-time inference using tools such as SageMaker Pipelines, EventBridge, MLflow, and feature stores.
- Collaborate with Data Scientists, Engineers, and stakeholders to implement, monitor, and optimize ML workflows—including model training, evaluation, drift detection, and deployment.
- Enhance and manage CI/CD pipelines for ML models, oversee model promotion and retraining workflows, and ensure seamless integration across different environments.
- Lead the end-to-end delivery of ML features from architecture and implementation to monitoring and iteration, while guiding and mentoring junior engineers and promoting best practices.
- Support operational excellence by participating in on-call rotations, production incident response, post-mortems, and contributing to the planning and scoping of ML initiatives.
- 5+ years in the software industry, with at least 3+ years focused on ML engineering, pipelines, or applied machine learning.
- Hands-on experience with AWS SageMaker Studio, Tecton, and proficiency in Python and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
- Experience with experiment tracking (MLflow), orchestrating ML workflows (SageMaker Pipelines, EventBridge), and building/monitoring both batch and real-time inference pipelines.
- Familiarity with data preparation and streaming tools (Glue, EMR, Flink) for feature pipelines.
- Solid understanding of CI/CD for ML (model deployment, endpoint configuration, validation) and strong cross-functional collaboration skills with Data Science, Risk, and Engineering teams.
- Experience building dual-model pipelines (e.g., NeuralNet + XGBoost) and evaluating ensemble performance.
- Knowledge of business-aligned success metrics like recall, hit rate, false positives, and model drift thresholds.
- Experience with fraud detection, risk modeling, or financial domains.
- Familiarity with prompt engineering, LLM integration, and evaluation workflows for generative AI.
- Backend or data engineering skills in Java, Scala, or Go (nice to have).
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.
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.
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.
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.
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 can be helpful, please reach out to myrecruiter@godaddy.com.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Skills
As published by greenhouse · 17 questions · 3 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (4)
- If you are a former employee, please indicate your GoDaddy work email address (if you remember). optional
- If you selected "Employee Referral", please list the referring employee's name. optional
- LinkedIn profile (if you do not have one or if you prefer not to provide one, enter N/A):
- Github or similar portfolio link (if you do not have one or if you prefer not to provide one, enter N/A):
Pick from a list (10)
- GoDaddy Employment History:
- Do you have the legal right to perform this role in the country in which you are applying?
- Is your right to work based (either now or in the future) on obtaining a visa, work permit or equivalent?
- Are you related to, or have you had (now or previously) a close personal or business relationship with, any current GoDaddy employees? Relevant business relationships include joint business ownership, shared investments or other financial interests.
- Have you ever previously interviewed with GoDaddy or any of its subsidiaries (123-Reg, Freedom Voice, HEG, Media Temple, Main Street Hub, Sellbrite, Sucuri, etc.)?
- Have you been introduced to GoDaddy or any of its subsidiaries by a recruitment agency within the last 12 months?
- Have you ever been offered employment with GoDaddy or any of its subsidiaries (123-Reg, Freedom Voice, HEG, Media Temple, Main Street Hub, Sellbrite, Sucuri, etc.)
- How did you hear about us?
- In addition to email communications, GoDaddy utilizes a SMS/WhatsApp texting tool to send quick updates and communicate with you throughout our candidate processes. GoDaddy Executives do not contact candidates or employees by SMS or WhatsApp. Per GoDaddy policy, we will never text you a link to click. Please indicate below if you wish to receive SMS/WhatsApp messages from GoDaddy. Standard messaging and data rates may apply.
- By submitting your application: (i) you confirm that the information you provide is accurate and complete to the best of your knowledge and you will inform us immediately if you subsequently become aware of any errors or inaccuracies; (ii) you acknowledge you are applying for a role with a company within the GoDaddy group, details of which will be provided at a later stage of the recruitment process if applicable; and (iii) you confirm you have read and understood the terms of our privacy policy (https://www.godaddy.com/legal/agreements/privacy-policy?isc=gdbb3376d). If you have questions regarding the application process or experience technical issues, please email myrecruiter@godaddy.com. If you have questions about our privacy practices, please email privacy@godaddy.com.
Written answers (3)
- If you answered "yes" to the above, please provide details. optional
- If yes, what is the name of the employee(s) and the nature of the relationship (e.g. spouse, sibling, business partnership, etc.) optional
- What is the soonest you would be able to start?
