Sundayy
Machine Learning Engineer
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About The Company
Just Eat Takeaway.com is a leading global online food delivery platform dedicated to transforming the way people access their favorite meals and essentials. With a presence in over 14 countries, our mission is to empower everyday convenience by connecting millions of customers with a vast network of restaurants, grocery stores, and convenience partners. Our innovative technology platform enables seamless ordering experiences for a diverse customer base, whether it's a weekend feast, post-work snack, or grocery run. We foster a dynamic, inclusive, and growth-oriented environment that values collaboration, innovation, and customer satisfaction. As part of our commitment to excellence, we continuously invest in cutting-edge AI and ML solutions to enhance our marketplace relevance and operational efficiency.
About The Role
We are seeking a highly skilled Staff Machine Learning Engineer to join our AI Growth team. In this pivotal role, you will lead the development and evolution of our ML infrastructure, driving innovation at scale to make our marketplace more relevant and efficient for millions of users across multiple countries. Your expertise will guide the architecture, roadmap, and engineering strategies that underpin our foundation model platform, including powering personalized recommendations, intelligent targeting, and expanding our capabilities in Generative AI and Large Language Models (LLMs). You will collaborate closely with cross-functional teams—engineers, data scientists, and platform specialists—to ensure our ML systems are scalable, reliable, and aligned with business objectives. Your leadership will influence technical decisions, promote best practices, and mentor engineering teams to foster a culture of excellence and innovation. This role offers an exciting opportunity to shape the future of AI at Just Eat Takeaway.com, balancing technical innovation with operational excellence to deliver outstanding customer experiences.
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Qualifications
- Proven experience defining and implementing technical roadmaps for large-scale ML platforms
- Deep understanding of production ML architecture, including latency, model quality, and infrastructure cost management
- Experience leading the adoption and deployment of LLMs or Generative AI in production environments
- Strong knowledge of model serving architectures, including online, batch, synchronous, and asynchronous strategies
- Hands-on experience with monitoring ML models for performance, drift, and data quality issues
- Advanced expertise in Kubernetes, including troubleshooting cluster issues related to security, networking, and platform operations
- Excellent stakeholder management and collaboration skills across engineering, product, and business teams
- Pragmatic problem-solving approach balancing rapid delivery with long-term scalability
- Experience optimizing GPU infrastructure, cloud platforms, or distributed ML workloads for efficiency and cost reduction
- Passion for mentoring and fostering a collaborative, knowledge-sharing environment
Responsibilities
- Own and define the technical roadmap for the ML infrastructure domain, including GPU compute, model serving, training platforms, and observability
- Lead the evolution of the foundation model platform, expanding from a GCP-first environment to a hybrid AWS and GCP architecture
- Develop and execute GPU compute strategies across Kubernetes, Vertex AI, and SageMaker, balancing performance and cost efficiency
- Drive the adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, and governance
- Collaborate with engineering teams to resolve cross-platform dependencies and eliminate technical blockers
- Provide architectural guidance and technical leadership across multiple teams to influence engineering direction
- Partner with product, platform, and infrastructure teams to ensure ML systems are reliable, scalable, and aligned with business priorities
- Enhance platform observability by monitoring model performance, training efficiency, and operational health
- Mentor engineers, promote engineering excellence, and facilitate knowledge sharing through technical reviews and collaborative problem-solving
- Make architectural decisions that balance speed, scalability, and maintainability, supporting AI growth strategies
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Benefits
- Competitive salary package and performance-based incentives
- Comprehensive health insurance coverage
- Flexible working hours and remote work options
- Opportunities for professional growth and development through training and mentorship programs
- Inclusive and diverse workplace culture that values innovation and collaboration
- Access to cutting-edge AI and ML technologies and projects
- Employee wellness programs and work-life balance initiatives
Equal Opportunity
Just Eat Takeaway.com is committed to creating an inclusive environment where all employees are valued and respected. We are an equal opportunity employer and do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe diversity fosters innovation and drives our success, and we welcome applicants from all backgrounds to join our team.
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