Amazon

Sr. Manager Applied Science, MLA

Amazon$196K — $340K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • An MS in Computer Science, Machine Learning, Statistics, Operations Research, or a similar quantitative field
  • 8+ years' experience in relevant scientific domains including 4+ years in science team management
  • 4+ years of hands-on experience in machine learning and data analysis
  • Solid breadth and depth in machine learning methodologies
  • Proficient in Spark, Python, or other statistical/mathematical programming tools

Responsibilities

  • Lead a team of scientists in developing machine learning applications for strategic business challenges
  • Collaborate with engineers and business partners to build scalable solutions beneficial to Selling Partner Services
  • Design and implement large-scale solutions for high-impact projects
  • Introduce innovative tools and techniques to address various problem perspectives
  • Contribute to team technical strategy and planning through insightful input
  • Mentor junior team members and actively participate in the hiring process

Benefits

  • Comprehensive medical insurance
  • Equity and sign-on payments dependent on the position offered
  • Full range of financial benefits
  • Support for career development and career mobility
  • Inclusive workplace culture that fosters diverse contributions
Full Job Description
Key job responsibilities

The scope of a Senior Applied Science Manager in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is lead a team of scientists to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the manager collaborates with engineers and business partners to design and implement solutions at scale that are of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team's technical strategy by making insightful contributions to the team's priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring.

BASIC QUALIFICATIONS
• An MS in CS, Machine Learning, Statistics, Operations Research, or in a highly-quantitative field
• 8+ years' work experience in relevant science domains, including 4+ years of managing science teams
• 4+ years of hands-on experience in machine learning, deep learning and large data analysis
• Superior ML breadth and strong depth
• Proficiency with Spark/Python/Perl, or other statistical/mathematical packages
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS
• A PhD in CS, Machine Learning, Statistics, Operations Research, or in a highly-quantitative field
• 8+ years' work experience in relevant science domains, including 6+ years of managing science and engineering teams
• 6+ years of hands-on experience in predictive modeling and large data analysis
• Excellent verbal and written communication and data presentation skills
• Expertise in large language models or demonstrated ability to develop this expertise quickly
• Strong problem solving ability

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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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