The Senior Applied Scientist will lead the mission to empower sellers using machine learning and AI techniques to create state-of-the-art solutions, identify actionable business problem opportunities, and collaborate with engineering and business teams.
Compensation
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Responsibilities
Use machine learning and AI techniques to create scalable seller-facing solutions
Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
Design, development and evaluation of highly innovative models
Work closely with software engineering teams to drive real-time model implementations and new feature creations
Communicate with technical and business leadership to influence the scientific directions and advocate for the solutions
Develop Agentic Large Language Models (LLMs) and/or Vision Large Language Models (VLM) to unlock new shopping experiences.
Locations (2)
Seattle, Washington, United States
Palo Alto, California, United States
Compensation
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.
Responsibilities
Develop LLMs and VLMs for Amazon shopping
Apply reinforcement learning and LLM post‑training techniques
Collaborate with scientists, engineers, product managers, and technical program managers
Data analysis and technical solution design for Trust and Safety operations at Google.
Compensation
The US base salary range for this full-time position is $132,000 - $190,000 + 15% bonus target + equity + benefits determined by role, level, and location.
Responsibilities
Construct accurate and efficient queries of medium complexity to produce robust data interpretations and solve problems using statistical methods.
Identify and prevent fraud by utilizing domain expertise to uncover system gaps, source additional training examples at scale, and mitigate abuse.
Compute performance statistics for complex machine learning models and classifiers to evaluate technical effectiveness, identify biases, and resolve classification issues.
Generate and test hypotheses for ambiguous challenges by defining quantitative metrics and extracting creative signals for algorithm improvement and feature engineering.
Improve automated tools and systems through technical analysis, independently interpreting complex data to present actionable insights to diverse stakeholders.
Requirements
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or a related field
Lead and manage multiple Cyber Incident Response document review projects, develop protocols, oversee quality, and drive business development for FTI Consulting’s Acuity team.
Compensation
Minimum Pay: $155,500
Maximum Pay: $226,500
Responsibilities
Assist in the leadership of all document review projects for Cyber Incident Response
Collaborate in the development of draft review protocol(s) for PII/PHI and/or Business Sensitive Information review
Collaborate in the development of QC/QA methodologies for CIR matters
Partner with Innovation and Consulting teams to build and document review workflows
Create and monitor timelines for completion of various phases of review
Requirements
J.D. required, and license to practice in a US jurisdiction (active and in good standing)
As an Analytics Intern, you’ll immerse yourself in the Analytics department and get a unique experience by working on real projects that impact our day-to-day business and production.
Compensation
The budgeted hourly rate for this position is $33.00 per hour for students pursuing a Bachelor's degree and $35.00 per hour for students pursuing a Masters degree.
Responsibilities
Learn the technologies, strategies and analytic techniques we use here at Enova
Develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures
Conduct ad hoc analysis using statistical and financial tools to recommend risk management, marketing and operational strategies
Work with senior management to develop key performance indicators (KPI's) to ensure that our products are performing optimally
Present on your project findings and results to key executives and the department at the conclusion of your internship
Requirements
Bachelor’s or Master’s Degree in Data Science, Statistics, Mathematics, Economics, or a related field
Supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance.
Compensation
$90,000 - $125,000 annual compensation
Responsibilities
Leads industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co-extrusion processes.
Collaborates with cross-functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems.
Develops and maintains data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
Collects, validates, and manages production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
Designs, develops, and optimizes machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
Requirements
Bachelor's degree in a relevant field such as Computer Science, Engineering, Data Science, or a related discipline.
Nice to have: familiarity with cloud-based analytics platforms (e.g., AWS, Azure)
Nice to have: familiarity with big data technologies (e.g., Hadoop, Spark)
Serve as the independent validator of AI Systems, responsible for technical assessment, model risk evaluation, and ongoing monitoring of AI/ML models across The Mutual Group and its member insurance carriers.
Compensation
$100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location
Responsibilities
Perform independent validation of AI/ML models
Review vendor-provided FactSheets and technical documentation
Evaluate key model risks such as bias, fairness, explainability
Assess alignment with NAIC expectations and model risk management practices
Provide independent validation input into AI governance decisions
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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