Machine Learning Engineer, Search Relevance
5 days ago
Description
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Sponsored Products Search Relevance's (SPSR) team's mission is to help shoppers easily find and discover the most useful and relevant sponsored products, while improving advertisers' ability to find the right shoppers in the right context for their sponsored products. We develop capabilities to understand shoppers' queries, shopping missions, and products' attributes so that we can identify ASINs that are contextually relevant to the shopper. As an MLE on the team, you will collaborate with scientists, product managers, work backwards from customers, identify the problems, propose innovative solutions, mentor junior engineers, raise the bar, and have a positive impact on hundreds of millions of customers.
Key job responsibilities
Design and build scalable services to support advertising infrastructure.
Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs.
Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer perceived relevance.
Quickly learn technologies and algorithms in the field of Generative AI.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Bachelor's degree or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Demonstrated track record of innovative AI solution development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Services LLC
Job ID: A3125765
-
Machine Learning Engineer
7 days ago
Palo Alto, California, United States Eigen AI Full time $120,000 - $200,000 per yearCompany DescriptionWe suggest you enter details here.Role DescriptionThis is a full-time on-site role located in Palo Alto, CA, for a Machine Learning Engineer. The Machine Learning Engineer will design, implement, and optimize machine learning models and algorithms. Daily responsibilities include working on pattern recognition tasks, developing and refining...
-
Palo Alto, California, United States Pinterest Full time $294,000 - $514,500 per yearAbout PinterestMillions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.Discover a career where you ignite...
-
Staff Machine Learning Engineer
5 days ago
Palo Alto, California, United States GEICO Full time $130,000 - $260,000At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our...
-
Palo Alto, California, United States Pinterest Full time $324,545 - $567,954 per yearAbout PinterestMillions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.Discover a career where you ignite...
-
Palo Alto, California, United States Pinterest Full time $150,000 - $250,000 per yearAbout PinterestMillions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.Discover a career where you ignite...
-
Machine Learning Engineer Intern
3 days ago
Palo Alto, California, United States Match Group Full time $72,000 - $96,000 per yearOur Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is...
-
Senior Machine Learning Engineer
7 days ago
Palo Alto, California, United States Archetype AI Full time $150,000 - $250,000 per yearAbout UsAt Archetype AI, we're building the world's first physical AI platform to bring artificial intelligence into the real world. Our foundation model, Newton, understands the physical world through objective sensor data and generates real-time insights into complex physical behaviors, from industrial machinery and systems to wearable devices and smart...
-
Machine Learning Engineer
7 days ago
Palo Alto, California, United States Ford Motor Company Full time $120,000 - $250,000 per yearJob DescriptionThis role is embedded with Ford Performance, Ford's motorsport division, for the first two years. Successful candidates will be expected to develop AI and Machine Learning-driven solutions for Ford Performance and its motorsport partners. They will leverage diverse sources of data, such as time-series, images, audio, and video to develop...
-
Machine Learning Researcher
5 days ago
Palo Alto, California, United States Rivet Industries Full time $180,000 - $250,000 per yearAbout RivetRivet is an American company building integrated task systems — fusing hardened hardware with software, sensors, AI, and networking — for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world's toughest environments.We serve the people who build, operate,...
-
Chief Machine Learning Engineer
3 days ago
Palo Alto, California, United States SAP Full time $274,000 - $420,000 per yearWe help the world run betterAt SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your...