Senior Applied Scientist (AI)

Location: USA, New York, New York

Base salary: $183,800–$248,700 annually, plus sign-on payments and restricted stock units.

Company

Amazon Ads develops advertising products and measurement solutions that help advertisers understand and optimize the impact of their media investments.

What you will do

• Lead the development of scalable ad measurement models covering online and offline sales across multiple platforms and timescales.
• Design, analyze, test, and productionize statistical and machine learning models and measurement solutions.
• Apply generative AI, classical machine learning, causal inference, natural language processing, and computer vision.
• Partner with engineering, product management, business teams, sales leaders, and other scientists to deploy solutions and enable advertiser action.
• Analyze large-scale data, design simulations and experiments, and communicate insights to audiences with varying technical backgrounds.
• Mentor junior scientists and contribute to the scientific community through presentations, publications, and patents.

Requirements

• 3+ years of experience building machine learning models for business applications.
• PhD, or a master's degree with 6+ years of applied research experience.
• Programming experience in Python, Java, C++, Perl, or a related language.
• Experience with neural deep learning methods and machine learning.
• Ability to collaborate with scientists, engineers, product managers, and business stakeholders.

Nice to have

• Experience with R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy, or SciPy.
• Experience with large-scale distributed systems such as Hadoop or Spark.

Culture & Benefits

• Comprehensive medical, dental, vision, prescription, life, and accidental death and dismemberment insurance.
• 401(k) matching, paid time off, and parental leave.
• Flexible Spending Accounts, Employee Assistance Program, mental health support, medical advice services, and adoption and surrogacy reimbursement.
• Inclusive culture with workplace accommodations available during the application and employment process.