We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. As a category-defining company, we're shaping what the future of learning looks like at global scale.

Every

Preply lesson sparks change, fuels ambition, and drives progress that matters.

Joining

Preply means helping define the future of education at integral scale, and building something that truly matters for millions of people, every day. Staff ML &

• Data Engineer You will design the systems that enable our ML teams to move from research to production seamlessly — at scale, across clouds, and with minimal friction. This role blends strategic platform architecture with deep hands-on engineering. You'll partner with Engineering and ML leadership to define standards, introduce new tooling, and eliminate barriers to deploying reliable, cost-efficient, and observable ML systems. We've reached 90%+ adoption of AI coding tools across engineering, and we're now moving towards more autonomous, AI-Augmented development at scale.



from experiment tracking and artifact management to scalable model deployment Drive cloud-native solutions for distributed training and inference, including GPU-based training environments , incorporating testing, validation, and performance checks into every deployment pipeline Act as a multiplier across engineering: mentoring, influencing standards, and de-risking complex technical decisions 8+ years of engineering experience in large-scale Data/ML platforms, with proven ability to architect and scale production-grade systems supporting dozens of ML use cases Deep knowledge of cloud services and strong understanding of end-to-end ML workflows, including versioning, monitoring, and performance benchmarking Learning &

• Development budget and time off for your self-development

• A competitive financial package with equity, leave allowance and health insurance

• To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We value open and candid communication, even when we don't fully agree. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

📌 Staff Machine Learning Platform/Ops Engineer (Laza)
🏢 Preply
📍 Laza