Amazon

Senior Applied Scientist , Sponsored Products

Amazon$202K — $273K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of applied research experience
  • 3+ years of management experience in scientific or machine learning roles
  • 3+ years of experience building business-relevant machine learning models
  • PhD or Master's degree with 6+ years of applied research experience
  • Strong knowledge of Machine Learning, NLP, Information Retrieval, and Analytics
  • Proficient in programming languages such as Java, C++, or Python

Responsibilities

  • Act as the technical leader in Machine Learning projects
  • Lead cross-team technical efforts and collaboration
  • Build, optimize, and deploy machine learning models in production
  • Conduct A/B tests, data gathering, and statistical analyses
  • Establish efficient processes for large-scale data analysis and ML model development
  • Collaborate with software engineers on ML model productionization
  • Research and innovate new machine learning methodologies

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • Comprehensive mental health support
  • 401(k) matching scheme
  • Paid time off for vacations and personal days
  • Generous parental leave policies
  • Flexible Spending Accounts for healthcare expenses
  • Adoption and Surrogacy Reimbursement coverage
Full Job Description
We are seeking a technical leader for our Search Thematic Advertising Experiences team to lead a multi-disciplinary team of science and engineering. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.

Key job responsibilities

Search Thematic Advertising Experiences , within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model- and leveraging this knowledge to help turn the flywheel of the business.

As a Senior Applied Scientist on this team you will:

Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.

Lead technical efforts within this team and across other teams.

Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.

Run A/B experiments, gather data, and perform statistical analysis.

Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.

Work closely with software engineers to assist in productionizing your ML models.

Research new machine learning approaches.

Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.

A day in the life

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.

About the team

We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon

BASIC QUALIFICATIONS

- 4+ years of applied research experience

- 3+ years of scientists or machine learning engineers management experience

- 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 ML, NLP, Information Retrieval and Analytics

- Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers 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. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 202,200.00 - 273,600.00 USD annually

USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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