Senior Machine Learning Scientist I (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Scientist I (AI): Building and optimizing large‑scale ML systems for online bidding across major search providers with an accent on online advertising optimization. Focus on innovating in online auctions at scale and driving measurable impact.
Location: Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country). Living and working in Amsterdam, Netherlands.
Company
makes it easier for everyone to experience the world through its products, partners, and people.
What you will do
- Develop the strategy and execution plan for implementing company-wide ML Systems Quality improvement programs.
- Collect, assess, and develop good practices for ML Systems across the company.
- Identify opportunities to improve Machine Learning Systems Development Processes.
- Translate quality-related ideas into actionable capabilities and safeguards for the Machine Learning Platform.
- Build readable and reusable code, choosing the right technologies and coding methodologies.
- Actively contribute to Machine Learning at through training, exploration of new technologies, and mentoring colleagues.
Requirements
- Ability to design an applied research plan for a product family from scratch.
- Strong relevant work or academic experience (MSc + 5 years of working experience, or PhD + 2 years), involved in the development and application of Machine Learning.
- Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc).
- Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
- Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, ML Engineers, Product Managers, etc).
- Excellent English communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders.
Nice to have
- Prior experience in the Fraud domain is a plus.
Culture & Benefits
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and wallet credit.
- Working in a fast-paced and performance driven culture.
- Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit.
- Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation.
Hiring process
- Let’s go places together: How we Hire.
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