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 empowering everyday convenience for millions of customers worldwide. Our platform connects consumers with a vast network of restaurant, grocery, and convenience partners across multiple countries, facilitating seamless ordering experiences. With a commitment to innovation and customer satisfaction, we strive to be at the forefront of the digital delivery industry, continuously expanding our reach and enhancing our technological capabilities. Our culture promotes growth, collaboration, and a customer-first mindset, making us a dynamic and inclusive workplace where talent can thrive.
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 machine learning infrastructure, shaping the future of AI at scale within Just Eat Takeaway.com. You will provide technical leadership, define architectural strategies, and collaborate across teams to implement innovative solutions that enhance our marketplace relevance for millions of users across 14 countries. Your expertise will drive the deployment of advanced AI capabilities, including foundation models and generative AI, ensuring our platform remains scalable, reliable, and efficient. This role offers an exciting opportunity to influence the technical roadmap, mentor engineering teams, and contribute to a cutting-edge AI ecosystem that directly impacts customer experience and business growth.
Qualifications
- Proven experience designing and implementing large-scale machine learning platforms
- Strong 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
- Deep knowledge of model serving architectures and strategies (online, batch, synchronous, asynchronous)
- Hands-on experience with Kubernetes, cloud platforms (GCP, AWS), and distributed ML workloads
- Expertise in monitoring and maintaining multiple production ML models, including data quality and model drift detection
- Strong stakeholder management and collaboration skills across engineering and business teams
- Pragmatic problem-solving approach with a focus on scalable and maintainable solutions
- Ability to optimize GPU infrastructure and cloud resources for efficiency and cost reduction
- Mentoring skills and a passion for fostering engineering excellence
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Responsibilities
- Own and define the technical roadmap for the ML infrastructure domain, prioritizing 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 implement GPU compute strategies across Kubernetes, Vertex AI, and SageMaker, balancing performance, scalability, and cost efficiency
- Drive the adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, experimentation, and governance
- Collaborate with engineering teams to resolve cross-platform dependencies and eliminate technical blockers
- Provide architectural guidance and technical leadership across multiple teams, influencing engineering decisions beyond your immediate scope
- 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 knowledge sharing, and uphold engineering best practices through reviews and collaborative problem-solving
- Make architectural decisions that balance speed, scalability, and long-term maintainability, supporting the company’s AI growth strategy
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Benefits
- Competitive salary and performance-based incentives
- Comprehensive health and wellness benefits
- Opportunities for professional growth and development
- Flexible working arrangements to support work-life balance
- Inclusive and diverse work environment promoting innovation and collaboration
- Access to cutting-edge AI and cloud technologies
- Supportive culture that encourages initiative and creativity
Equal Opportunity
Just Eat Takeaway.com is committed to creating an inclusive environment where all employees feel valued and empowered. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe diversity drives innovation and are dedicated to fostering a workplace where everyone can thrive and bring their authentic selves to work.
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