Current jobs related to Machine Learning Applied Scientist, Buyer Risk Prevention Expert - San Diego, California - Amazon
-
Machine Learning Engineer/Applied Scientist
4 weeks ago
San Francisco, California, United States BioRender Full timeWe are seeking a highly skilled Machine Learning Engineer/Applied Scientist to join our team at BioRender. As a key member of our AI figure generation team, you will partner with product, design, and engineering to build the ML and AI system that enables scientists to effortlessly create beautiful and effective figures.The ideal candidate will have extensive...
-
San Diego, California, United States Amazon Full timeAbout the RoleWe are seeking a highly skilled Machine Learning Applied Scientist to join our innovative team at Amazon. As a key member of our Account Integrity team, you will leverage cutting-edge techniques like reinforcement learning, large language models, and graph analytics to protect Amazon customers from hackers and bad actors.Key...
-
Principal Applied Scientist
7 days ago
San Diego, California, United States Amazon Services LLC - A57 Full timeAbout the JobWe are seeking a highly skilled Principal Applied Scientist to join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands.The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics...
-
Data Scientist II
4 weeks ago
San Francisco, California, United States Navient Full timeAbout the RoleWe are seeking a highly skilled Data Scientist II to join our team at Navient. As a key member of our data science team, you will be responsible for designing and implementing ETL pipelines, extracting data for model training, and prototyping machine learning models using popular frameworks such as Scikit-learn, TensorFlow, and PyTorch.Key...
-
Applied Researcher I
4 days ago
San Jose, California, United States Capital One National Association Full timeAbout the RoleWe are seeking a highly skilled Machine Learning Expert to join our team as an Applied Researcher I. In this role, you will have the opportunity to work on cutting-edge AI projects, collaborate with cross-functional teams, and drive innovation in machine learning.
-
Machine Learning Research Scientist
4 weeks ago
San Francisco, California, United States Coactive AI Full timeUnlock the potential of unstructured data with Coactive AI, a pioneering force in the machine learning landscape. We're seeking an Applied Machine Learning Research Scientist to collaborate closely with our top-tier machine learning and data systems experts, driving innovation and creating the foundation for groundbreaking machine learning products.Key...
-
Senior Machine Learning Architect
3 weeks ago
San Diego, California, United States Intuit Full timeAbout the RoleAs a Senior Machine Learning Architect at Intuit, you will be responsible for designing, building, and deploying machine learning models in AI native applications. You will lead the team's work in one or more of machine learning, natural language processing, statistics, or optimization, and perform hands-on work in these domains.Key...
-
Machine Learning Data Scientist
4 weeks ago
San Francisco, California, United States Jobs for Humanity Full timeAbout the RoleWe are seeking a highly skilled Machine Learning Data Scientist to join our team at Jobs for Humanity. As a Machine Learning Data Scientist, you will be responsible for designing and developing algorithms to improve ranking and personalization in our grocery and retail platform.Key ResponsibilitiesWork closely with ML teams to design and...
-
Principal Machine Learning Scientist
1 month ago
South San Francisco, California, United States Genentech Full timeJob SummaryWe are seeking a highly skilled and motivated Principal Machine Learning Scientist to join the BRAID team within our Computational Sciences organization.This role will focus on building novel machine-learning methods to enhance drug development and clinical trial design, with a particular emphasis on early-stage clinical trials.The successful...
-
Senior Staff Data Scientist
4 weeks ago
San Francisco, California, United States Social Finance Ltd Full timeEmployee Applicant Privacy NoticeWho We Are:At Social Finance Ltd, we're shaping a brighter financial future with our members. Together, we're changing the way people think about and interact with personal finance.We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members...
-
Research Scientist
4 weeks ago
San Francisco, California, United States University of California , San Francisco Full timeJob SummaryWe are seeking a highly motivated Research Scientist to join our team at the University of California, San Francisco. The successful candidate will have a strong background in machine learning and bioinformatics, with a focus on developing and applying AI-driven approaches to improve cancer, women's health, and health disparity.Key...
-
Senior Staff Data Scientist
4 weeks ago
San Francisco, California, United States Social Finance Ltd Full timeShape the Future of Personal FinanceAt Social Finance Ltd, we're revolutionizing the way people interact with personal finance. Our Data Science team is seeking an experienced Senior Staff Data Scientist to lead our machine learning efforts and drive innovation in the industry.Key Responsibilities:Develop and deploy machine learning models that improve our...
-
Senior Machine Learning Scientist
4 weeks ago
South San Francisco, California, United States Genentech Full timeAbout the RoleWe are seeking a highly skilled Senior Machine Learning Scientist to join our dynamic and creative team within the BRAID department in Genentech Research and Early Development (gRED). Our team is dedicated to developing the next generation of Machine Learning models to derive actionable insights from large-scale high-content perturbation...
-
Senior Machine Learning Scientist
4 weeks ago
South San Francisco, California, United States Genentech Full timeThe PositionA healthier future is what drives us to innovate at Genentech. We are committed to advancing science and ensuring everyone has access to the healthcare they need today and for generations to come.We are seeking a highly skilled and motivated Senior Machine Learning Scientist to join the Perturbation Biology group within the BRAID (Biology...
-
Machine Learning Engineer
4 weeks ago
San Diego, California, United States Exact Sciences Full timeJob SummaryExact Sciences is seeking a highly skilled Machine Learning Engineer to join our team in the fight against cancer. As a key member of our team, you will work on developing and implementing advanced artificial intelligence and machine learning algorithms to analyze biological, genomic, clinical, and healthcare data. Your expertise will help us...
-
Machine Learning Operations Engineer
4 weeks ago
San Diego, California, United States Stellar Consulting Solutions, LLC Full timeJob Title: MLOps EngineerJob Summary:We are seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you will be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads.Key...
-
Senior Machine Learning Scientist
4 weeks ago
South San Francisco, California, United States Genentech Full timeAbout the RoleWe are seeking a highly skilled and motivated Senior Machine Learning Scientist to join the BRAID team (Biology Research | AI Development) within our Computational Sciences organization.The successful candidate will focus on developing novel machine-learning methods to transform drug development and clinical trial design, including multimodal...
-
Machine Learning Engineer
4 weeks ago
San Diego, California, United States Exact Sciences Full timeAbout the RoleAt Exact Sciences, we're committed to helping prevent, detect, and guide treatment for cancer. As a Machine Learning Engineer, you'll play a critical role in our mission by developing and implementing cutting-edge AI and machine learning algorithms to solve complex problems in biological, genomic, clinical, and healthcare data.Key...
-
Principal Machine Learning Scientist
3 weeks ago
South San Francisco, California, United States Genentech Full timeTransforming Healthcare through Machine LearningAt Genentech, we're committed to advancing science and ensuring everyone has access to the healthcare they need today and for generations to come. We're seeking a highly skilled and motivated Machine Learning Researcher to join our Computational Sciences organization.This role will focus on building novel...
-
San Diego, California, United States Web-atrio Full timeJob SummaryWe are seeking a highly skilled Machine Learning Scientist to join our Predictive Sciences team. As a Senior Principal Scientist, you will be responsible for developing and implementing innovative machine learning approaches to improve small-molecule design and prediction. Your expertise in deep learning methods, particularly in active learning,...
Machine Learning Applied Scientist, Buyer Risk Prevention Expert
1 month ago
Are you passionate about using machine learning and statistical techniques to protect Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customers every day? If yes, then you may be a great fit to join the Amazon Account Integrity team.
The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers.
To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.
We are looking for a skilled Machine Learning Applied Scientist to join our team. The ideal candidate will have a PhD or Master's degree in a relevant field, such as Computer Science, Computer Engineering, or related field, and 4+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
The successful candidate will have experience programming in Java, C++, Python or related language, and strong communication and data presentation skills. Preferred qualifications include a PhD in computer science, computer engineering, or related field, and publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
