Urgent! Principal Applied Scientist - Oracle Health Job Opening In Bengaluru – Now Hiring Amazon
DescriçãoHardware Silicon and Systems Group leads the development and optimization of on-device ML models for Amazon's hardware products, including audio, vision, and multi-modal AI features.
We work at the critical intersection of ML innovation and silicon design, ensuring AI capabilities can run efficiently on resource-constrained devices.Currently, we enable production ML models across multiple device families, including Echo, Ring/Blink, and other consumer devices.
Our work directly impacts Amazon's customer experiences in consumer AI device market.
The solutions we develop determine which AI features can be offered on-device versus requiring cloud connectivity, ultimately shaping product capabilities and customer experience across Amazon's hardware portfolio.
This is a unique opportunity to help shape the future of AI in consumer devices at unprecedented scale.
You'll be at the forefront of developing industry-first model architectures and compression techniques that will power AI features across millions of Amazon devices worldwide.
Your innovations will directly enable new AI features that enhance how customers interact with Amazon products every day.
As Principal Applied Scientist you will blend expertise at the intersection of ML and hardware optimization for model training, build cutting-edge architectures for vision, language, and multi-modal tasks.
Role requires a specialist in hardware-aware quantization, with hands-on experience in model compression techniques like pruning and distillation.
You will be responsible for computer architecture, ML accelerator designs, efficient inference algorithms and low-precision arithmetic.Key job responsibilitiesAs a Principal Applied Scientist, you will:- Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products.- Develop novel model architectures optimized for our custom silicon, establishing new methodologies for model compression and quantization.- Create an evaluation framework for model efficiency and implement multimodal optimization techniques that work across vision, language, and audio tasks.- Define technical standards for model deployment and drive research initiatives in model efficiency to guide future silicon designs.- Spend the majority of your time doing deep technical work - developing novel ML architectures, writing critical optimization code, and creating proof-of-concept implementations that demonstrate breakthrough efficiency gains.- Influence architecture decisions impacting future silicon generations, establish standards for model optimization, and mentor others in advanced ML techniques.Qualificações BásicasBasic Qualifications:- Masters degree in Computer Science, Electrical Engineering, or a related technical field- 8+ years of experience in machine learning, with a focus on model architecture design, optimization, and deployment- Expertise in developing and deploying deep learning models for real-world applications, including vision, language, and multi modal tasks- Strong background in computer architecture, hardware acceleration, and efficient inference algorithms- Hands-on experience with model compression techniques such as pruning, quantization, and distillation- Proficiency with deep learning frameworks like TensorFlow, PyTorch, or ONNXQualificações Preferíveis- PhD in Computer Science, Electrical Engineering, or a related technical field- 10+ years of experience in machine learning, with a track record of developing novel model architectures and optimization techniques- Proven expertise in co-designing ML models and hardware accelerators for efficient on-device inference- In-depth understanding of the latest advancements in model compression, including techniques like knowledge distillation, network pruning, and hardware-aware quantization- Experience working on resource-constrained embedded systems and deploying ML models on edge devices- Demonstrated ability to influence technical strategy and mentor cross-functional teams- Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical stakeholdersOur 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 https://amazon.Jobs/content/en/how-we-hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Principal Applied Potential: Insight & Career Growth Guide
Real-time Principal Applied Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Principal Applied in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 29481 jobs in India and 3222 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Principal Applied roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Amazon is currently hiring and seeking a Principal Applied Scientist Oracle Health to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Principal Applied Scientist Oracle Health Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Principal Applied Scientist Oracle Health Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Principal Applied Scientist Oracle Health typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Principal Applied Scientist Oracle Health, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Principal Applied Scientist Oracle Health interview at Amazon, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Amazon's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Principal Applied Scientist Oracle Health is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!
