Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Scientist (AI): Developing ad measurement models and solutions that address the full spectrum of an advertiser's investment with an accent on scalable and efficient methodologies. Focus on experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
Location: USA, NY, New York
Salary: 183,800.00 - 248,700.00 USD annually
Company
The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Ads serves a centralized role developing solutions for a multitude of performance measurement products.
What you will do
- Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.
- Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.
- Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of ad spend across multiple platforms and timescales.
- Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.
- Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
- Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
Requirements
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Culture & Benefits
- is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Inclusive culture empowers ians to deliver the best results for our customers.
- Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
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