Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Rokt, a rapidly growing ecommerce technology company valued at $3.5 billion USD, is seeking a Senior Machine Learning Engineer to join their innovative team. The role offers a compelling total compensation package between $375,000 - $515,000, including equity and comprehensive benefits.
The position involves working at the intersection of machine learning and software engineering, building sophisticated AI-driven solutions that power millions of daily transactions across the Rokt Network. You'll be responsible for developing and deploying machine learning models for smart bidding, lookalike modeling, and forecasting, while working with cutting-edge technologies and frameworks.
The ideal candidate will bring strong academic credentials (Masters or PhD in Machine Learning) combined with practical industry experience in building production-grade ML systems. You'll need expertise in areas such as Bayesian methods, recommender systems, and multi-task modeling, along with hands-on experience with tools like Kubeflow and Tensorflow.
Rokt offers an exceptional work environment with a focus on professional growth through their LevelUp! program, equity participation, and flexible working arrangements. The company maintains a hybrid work model with 4 days in office, promoting a collaborative culture while respecting work-life balance. As part of a global team spanning multiple countries, you'll have opportunities to work with talented professionals across different offices while contributing to technology that processes billions of data points and serves 400 million customers worldwide.
The role presents an exciting opportunity to work on challenging problems at scale, with access to vast amounts of data and the latest ML technologies. You'll be part of a mission-driven organization that values innovation, transparency, and continuous learning, while building solutions that are reshaping the future of ecommerce personalization.
Responsibilities For Senior Machine Learning Engineer
- Collaborate with product managers and engineers to frame machine learning problems and architect 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
- Masters or PhD in Machine Learning
- Extensive knowledge in Bayesian methods, Recommender systems, multi-task modelling, meta-learning
- 3+ years of industry experience in building production-grade machine learning systems
- Experience with Kubeflow, Tensorflow and Feature Store in production environment
- Familiarity with architectures like DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN is a plus
Benefits For Senior Machine Learning Engineer
- LevelUp! program for coaching, courses, and training
- Employee equity in the company
- Catered lunch and gym membership
- Extra leave including bonus annual leave and sabbatical leave
- Global office locations in New York, Seattle, Sydney, Tokyo and London
- Flexible work arrangements with 4 days in office
- One week per quarter working from anywhere
