A passionate student to help bring AI solutions to life on dedicated embedded HW, for ADAS use cases targeting mobile platforms such as passenger cars, trucks or motorcycles.
Locations (4)
Cluj-Napoca, Cluj County, Romania
Jucu, Romania
Bucharest, Bucharest, Romania
Sibiu, Sibiu County, Romania
Responsibilities
Develop / update / maintain various AI / Computer vision component runnables and associated logic
Develop / update / maintain various AI “glue” code for inference / post-processing of AI models / CV algos
Generate and analyze performance of various AI models / CV algos in terms of semantic KPIs
Test and analyze performance of various AI models / CV algos in terms of HW efficiency KPIs
Integrate model binaries in different production environments, ranging from C++ SW resimulation / target HW to Azure cloud pipelines
Requirements
Final year of a Bachelor's degree or first year of a Master's degree in a relevant field
Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power fully systematic trading.
Compensation
Per NYC salary transparency law, the total compensation for this role includes a base range of $225,000 to $300,000 plus annual discretionary variable remuneration.
Responsibilities
Lead the development and global rollout of the Core market data platform
Design and implement high‑performance components for market data ingestion, normalization, and distribution
Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies
Own the full lifecycle of components: deploy, monitor, profile, and optimize code in production
Requirements
BSc in Computer Science
MSc in Computer Science
PhD in Computer Science
Nice to have: Proprietary trading environment experience
As an Applied Scientist on our team, you will develop AI solutions for advertiser and shopper experiences, build monetization and optimization systems that leverage generative models to value and improve campaign performance, and define a long-term science vision and roadmap for our Brand Beacon advertising business.
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. USA, NY, New York - 172,400.00 - 223,400.00 USD annually
Responsibilities
Develop AI solutions for advertiser and shopper experiences
Build monetization and optimization systems that leverage generative models to value and improve campaign performance
Define a long-term science vision and roadmap for our Brand Beacon advertising business
Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses
Effectively communicate technical and non-technical ideas with teammates and stakeholders
Apply the latest research, state of the art machine learning and GenAI to build highly scalable models in support of predictive research and products used across AWS Sales and leadership.
Compensation
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Responsibilities
Design and execute science experiments in short and agile cycles
Work closely with business leaders to identify opportunities to drive business growth by applying machine learning and building out predictive models to support analytics and insights
Mentor junior scientists
Contribute to peer reviews
Requirements
PhD in computer science, machine learning, engineering, or related fields
Nice to have: Professional software development
Nice to have: Solving business problems through machine learning, data mining and statistical algorithms
Lead the development and global rollout of our Core market data platform used across multiple focus areas (Market data, Research engineering, Pricing, Strategies).
Responsibilities
Lead the development and global rollout of our Core market data platform used across multiple focus areas (Market data, Research engineering, Pricing, Strategies).
Design and implement high‑performance components for market data ingestion, normalization, and distribution, as well as its usage for order execution and strategy infrastructure.
Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies.
Own the full lifecycle of your components in a fast‑paced, iterative environment: deploy, monitor, profile, and optimize your code in production.
Work closely with focus group engineers, quants, and technical traders to refine requirements, collect feedback, and iterate on the platform's design and implementation.
Requirements
BSc, MSc, or PhD in Computer Science, Mathematics, or a related field
Nice to have: proprietary trading industry experience
As an Applied Scientist on the Search L1 Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. This role focuses on efficient models for early stage ranking phase, and techniques to personalize these models and optimize them automatically.
Locations (2)
Seattle, Washington, United States
Palo Alto, California, United States
Compensation
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Responsibilities
Build search ranking models for thousands of product types and billions of queries
Find next set of big improvements to ranking
Leverage large datasets to understand customer behavior
Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power fully systematic trading.
Compensation
Per NYC salary transparency law, the total compensation for this role includes a base range of $225,000 to $300,000 plus annual discretionary variable remuneration.
Responsibilities
Lead the development and global rollout of our Core market data platform used across multiple focus areas
Design and implement high‑performance components for market data ingestion, normalization, and distribution
Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies
Own the full lifecycle of your components in a fast‑paced, iterative environment: deploy, monitor, profile, and optimize your code in production
Work closely with focus group engineers, quants, and technical traders to refine requirements, collect feedback, and iterate on the platform's design and implementation
Requirements
BSc in Computer Science
MSc in Computer Science
PhD in Computer Science
Nice to have: proprietary trading industry experience
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)
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)
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)
Senior Software Engineer, C++ (Market Data)NewFlow Traders · Chicago, US
Applied Scientist, Sponsored Products and BrandsNewAmazon · New York, US