Staff Machine Learning Ops Engineer
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Job Summary
At Preply were all about creating life-changing learning experiences. 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 its creating real impact.
Weve just reached unicorn status with a $150M Series D accelerating our vision to transform education through human-led AI-enhanced learning. Today 100000 tutors teach 90 languages to learners in 180 countries - and were only getting started. As a category-defining company were 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 global scale and building something that truly matters for millions of people every day.
Preply is scaling an AI-powered learning platform used by millions of learners and tutors worldwide. As ML and GenAI become increasingly central to our product marketplace and operational systems were looking for a Staff ML Ops Engineer to define and evolve the platform that enables machine learning at company scale.
This is a senior technical leadership role for an engineer who can combine deep hands-on expertise with platform vision. You will help define the current and future direction of Preplys ML platform set technical standards and design the systems that allow ML teams to move from research to production quickly safely and cost-efficiently.
Youll partner closely with Applied Science Data Product and Engineering leadership to build a scalable secure and observable ML platform that powers multiple business lines. Your impact will come not only from the systems you design but from the standards you set the engineers you mentor and the technical decisions you help de-risk across the organization.
Preplys next stage of growth depends on making AI a scalable company-wide capability not a collection of isolated models and experiments. This role will define how ML systems are built deployed monitored and improved across the company.
Youll shape the platform that powers personalized learning smarter experiences for tutors and learners marketplace intelligence content generation automation and future GenAI products. The goal is to make it dramatically easier for teams to turn ML ideas into reliable secure cost-efficient product experiences at a global scale.
Define the technical vision and roadmap for Preplys ML platform ensuring it can support growing ML and GenAI adoption across multiple teams products and business lines.
Lead the architecture of platform capabilities across the full ML lifecycle: experimentation feature engineering artifact management training deployment monitoring retraining and governance.
Design cloud-native infrastructure for distributed training and inference including GPU-based environments autoscaling workload isolation rollout strategies and cost optimization.
Set the technical direction for CI/CD for ML embedding testing validation security performance checks and release confidence into deployment pipelines.
Establish observability standards for ML systems including model metrics service health alerts drift detection data quality lineage and business-impact monitoring.
Lead the evolution of Preplys GenAI and LLM platform capabilities including building LLM Gateway services vector retrieval infrastructure prompt experimentation evaluation frameworks latency-optimized inference and reliable model-serving patterns.
Partner with Applied Science and Data leads Product leaders and Engineering teams to align platform investments with experimentation velocity cost efficiency operational reliability and user impact.
Design platform abstractions internal libraries templates and self-service tooling that help ML Scientists and engineers move faster without compromising reliability or security.
Act as a technical multiplier across engineering by mentoring senior engineers influencing architecture raising standards and guiding teams through complex platform decisions.
Identify and eliminate bottlenecks in the path from ML research to production making the platform easier safer and more efficient for all ML-powered product development.
9 years of engineering experience with significant depth in large-scale ML data infrastructure or platform systems.
Proven ability to architect and scale production-grade ML platforms that support many teams workflows and ML use cases.
Deep understanding of cloud-native architecture and end-to-end ML workflows including experimentation feature management model versioning training deployment monitoring performance benchmarking and lifecycle management.
Strong hands-on experience with cloud platforms such as GCP or AWS Kubernetes distributed compute CI/CD observability and infrastructure-as-code practices.
Experience building enabling tools and platform capabilities for Applied Scientists Data Scientists and engineering teams.
Strong technical judgment and the ability to make pragmatic architecture decisions across reliability scalability security cost and developer experience.
Excellent communication and influence skills with experience aligning cross-functional stakeholders and translating platform strategy into execution.
Demonstrated ability to mentor engineers raise engineering standards and multiply the impact of teams around you.
Product-impact mindset: you care about building platform capabilities that accelerate experimentation improve user experiences and unlock measurable business value.
Familiarity with LLM frameworks and GenAI infrastructure such as LangChain LlamaIndex vector stores retrieval systems prompt evaluation model serving or LLM observability.
An open collaborative dynamic and diverse culture;
A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development;
A competitive financial package with equity leave allowance and health insurance;
Access to free mental health support platforms;
The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)
#LI-AG1
Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
We do it for learners - For both Preply and tutors learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
Keep perfecting - To create an outstanding customer experience we focus on simplicity smoothness and enjoyment continually perfecting it as every detail matters.
Now is the time - In a fast-paced world it matters how quickly we act. Now is the time to make great things happen.
Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals focus on what matters and utilize our resources efficiently.
Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories unlocking meaningful insights to guide our decisions.
Growth mindset - We proactively seek growth opportunities and believe todays best performance becomes tomorrows starting point. We humbly embrace feedback and learn from setbacks.
Raise the bar - We raise our performance standards continuously alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
Challenge disagree and commit - We value open and candid communication even when we dont fully agree. We speak our minds challenge when necessary and fully commit to decisions once made.
One Preply - We prioritize collaboration inclusion and the success of our team over personal ambitions. Together we support and celebrate each others progress.
Required Experience:
Staff IC
