The Role: As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.
Growth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities.
Pay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.
Responsibilities:Technical
- Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.
- Optimise auction and decisioning logic, applying model predictions to maximise value across Rokt's multi-sided marketplace
- 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, collaborating with product and engineering teams.
- Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.
Leadership
- Act as technical and project leader of a small team of specialists
- Provide leadership on complex technical issues,
- Set standards for technical excellence - from coding to architectural best practices.
- Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
- Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.
Requirements- PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects.
- 10+ years of industry experience building production-grade ML systems.
+ Deep expertise in at least two of the following:
- ML for Ads, E-commerce, or Two-Sided Marketplaces
- Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks
- Bayesian Modelling & Probabilistic Methods
- Reinforcement Learning (Contextual Bandits, Policy Optimization)
- Price & Revenue Optimisation
- Representation Learning & Embeddings
- Model Optimisation (quantisation, distributed training, GPU optimisation, JIT compilation, mixed precision, inference optimisation)
- Knowledge Distillation
Hybrid work structure:Rokt has a 4 day in-office, 1 day remote hybrid structure - with a flexible approach to start/finish times.
Benefits- Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
- Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
- Fully funded health insurance (Dental, Optical, and Medical)
- Generous allowances for wellness, technology, mobile, and transit.
- Daily catered lunch, stocked pantry & fridges
- Extra leave (bonus annual leave, sabbatical leave etc.)
If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.
Note: The first stage of Rokt's recruitment process is a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted on next steps.
