Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Rokt, a rapidly growing ecommerce technology company valued at $2.4 billion USD, is seeking a Senior Machine Learning Engineer for their Sydney office. This role offers an exciting opportunity to work on large-scale AI systems that power billions of transactions across 15 countries.
The position involves building and deploying sophisticated machine learning models for smart bidding, lookalike modeling, and forecasting. You'll work with cutting-edge technologies and handle millions of daily transactions, considering billions of data points. The role requires expertise in both machine learning and software engineering, with opportunities to work on various aspects of ML systems from data preparation to production deployment.
Rokt offers a transparent career path with clear progression opportunities and competitive compensation, including equity participation. The company provides a collaborative environment where innovation is encouraged, and learning is continuous. Benefits include a generous training allowance, catered lunches, flexible work arrangements, and global mobility opportunities across offices in major tech hubs.
The ideal candidate will bring 3+ years of experience in production ML systems, strong knowledge of Bayesian methods and recommender systems, and familiarity with modern ML frameworks. You'll join a mission-driven team that values diversity, transparency, and practical innovation, working on problems that directly impact the future of ecommerce.
This role offers relocation support to Sydney, Australia, making it an excellent opportunity for international candidates looking to join a fast-growing tech company in a beautiful global city.
Responsibilities For Senior Machine Learning Engineer
- Collaborate with product managers and engineers to understand business priorities and architect ML solutions
- Build and productionise machine learning models including data preparation/processing pipelines
- Maintain high quality code base with comprehensive testing
- Research state-of-art deep learning models and conduct experiments
- Share knowledge through brown bags and tech talks
Requirements For Senior Machine Learning Engineer
- 3+ years of industry experience in building production-grade machine learning systems
- Extensive knowledge in Bayesian methods, Recommender systems, multi-task modelling, meta-learning
- Experience with Kubeflow, Tensorflow and Feature Store in production environment
- PhD in Machine Learning (Nice to have)
- Familiarity with architectures like DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN
Benefits For Senior Machine Learning Engineer
- Annual $5000 training allowance
- Company equity for all employees
- Catered lunch and healthy snacks
- Gym membership
- Extra leave (bonus annual leave, sabbatical leave)
- Global offices in New York, Seattle, Sydney, Tokyo and London
- Flexible work arrangements
- Relocation and visa support
