Lead Machine Learning Engineer / Staff Applied Scientist
Job Description
Rokt, a $3.5B valued ecommerce technology leader, is seeking a Lead Machine Learning Engineer/Staff Applied Scientist to drive their ML initiatives. This role combines hands-on technical leadership with people management, focusing on developing and deploying sophisticated ML systems that power over 6.5 billion transactions annually. The position offers the opportunity to work with cutting-edge ML technologies, lead a high-caliber team, and contribute to a rapidly growing company that's revolutionizing ecommerce through AI-driven solutions. The role demands deep expertise in machine learning, with a focus on areas like reinforcement learning, multi-task learning, and deep learning architectures. Based in Sydney, this position offers comprehensive benefits including equity, training allowance, and flexible work arrangements. The ideal candidate will bring 10+ years of industry experience and a strong academic background in computer science or related fields.
Responsibilities For Lead Machine Learning Engineer / Staff Applied Scientist
- Own the research, design, development, testing, deployment and maintenance of machine learning systems and services
- Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations
- Evaluate and improve model performance, ensuring robustness, scalability, and interpretability
- Translate complex business needs into practical ML solutions
- Lead and coach a small team of high-calibre ML Engineers
- Set standards for technical excellence
- Work cross-functionally to plan and manage delivery expectations
- Monitor progress and mitigate risks and bottlenecks
Requirements For Lead Machine Learning Engineer / Staff Applied Scientist
- PhD or Master's in Computer Science, Statistics, Mathematics, or related field with ML specialization
- 10+ years of industry experience building production-grade ML systems
- Deep expertise in Reinforcement Learning, Multi-Task Learning, Deep Learning Architectures, or Bayesian Methods
- Proven ability to drive impact across multiple teams as a hands-on technical leader
- Experience with models like DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN
Benefits For Lead Machine Learning Engineer / Staff Applied Scientist
- Annual $5000 training allowance
- Company equity for all employees
- Catered lunch and healthy snacks
- Gym membership
- Extra leave including bonus annual leave and sabbatical leave
- Flexible work arrangements
- Global office locations
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