Talent.com

Principal scientist Jobs in Washington dc

Last updated: 1 day ago
  • Promoted
Principal Scientist - AI, Kumo Intelligent Tooling

Principal Scientist - AI, Kumo Intelligent Tooling

AmazonWashington, District of Columbia, US
Full-time
Show moreLast updated: 12 days ago
  • Promoted
Principal Radio Frequency (RF) Engineer - Scientist

Principal Radio Frequency (RF) Engineer - Scientist

EnvisioneeringWashington, District of Columbia, US
USD140000–USD160000 yearly
Full-time
Show moreLast updated: 9 days ago
  • Promoted
Staff Scientist I

Staff Scientist I

Children's National Medical CenterWashington, District of Columbia, US
Full-time
Show moreLast updated: 30+ days ago
  • Promoted
Principal Data Scientist

Principal Data Scientist

MitreWashington, District of Columbia, US
USD247000 yearly
Full-time
Show moreLast updated: 11 days ago
  • Promoted
Principal Data Scientist

Principal Data Scientist

The MITRE CorporationWashington, DC, United States
USD247000 yearly
Full-time
Show moreLast updated: 20 days ago
  • Promoted
Quality Assurance Principal Scientist

Quality Assurance Principal Scientist

AGC IncWashington, District of Columbia, US
USD83920–USD115390 yearly
Full-time
Show moreLast updated: 18 days ago
Principal Radio Frequency (RF) Engineer - Scientist Job at Envisioneering in Was

Principal Radio Frequency (RF) Engineer - Scientist Job at Envisioneering in Was

MediabistroWashington, DC, United States
USD140000–USD160000 yearly
Full-time
Show moreLast updated: 9 days ago
  • Promoted
Scientist

Scientist

The Ford AgencyWashington, DC, US
Full-time
Show moreLast updated: 2 days ago
  • Promoted
Scientist

Scientist

Booz Allen HamiltonWashington, DC, US
USD96600–USD220000 yearly
Full-time + 1
Show moreLast updated: 1 day ago
Principal Data Scientist (Remote Eligible)

Principal Data Scientist (Remote Eligible)

MathematicaWashington, District of Columbia; Princeton,New Jersey
USD100000–USD145000 yearly
Remote
Full-time
Show moreLast updated: 24 days ago
Principal Applied Scientist, AI (FULLY REMOTE) - 29543

Principal Applied Scientist, AI (FULLY REMOTE) - 29543

Splunk IncWashington D.C., United States
USD203200–USD279400 yearly
Remote
Show moreLast updated: 30+ days ago
  • Promoted
Principal

Principal

Australian Christian CollegeWashington, District of Columbia, US
Full-time
Show moreLast updated: 2 days ago
Principal Scientist I

Principal Scientist I

BryceTechWashington, District of Columbia, United States
Remote
full-time
Show moreLast updated: 23 days ago
Research Scientist (part-time), Neuroscience Lab – Georgetown University Medical Canter

Research Scientist (part-time), Neuroscience Lab – Georgetown University Medical Canter

Georgetown University in QatarWashington, DC, US
USD17.41–USD26.03 hourly
Part-time
Show moreLast updated: 24 days ago

Show moreLast updated: 30+ days ago
  • Promoted
Principal Scientist I

Principal Scientist I

BryceTech LLCWashington, District of Columbia, US
Full-time
Show moreLast updated: 30+ days ago
Principal Computer Scientist

Principal Computer Scientist

ARAWashington, DC , US
Full-time
Show moreLast updated: 30+ days ago
Staff Applied Machine Learning Scientist (Python, TensorFlow, LLM)

Staff Applied Machine Learning Scientist (Python, TensorFlow, LLM)

Motion RecruitmentWashington, DC, United States
USD180000–USD260000 yearly
DIRECT HIRE
Show moreLast updated: 30+ days ago
Principal Data Scientist

Principal Data Scientist

SprinklrUnited States, Washington DC, Remote
USD223000 yearly
Remote
Full-time
Show moreLast updated: 30+ days ago
Staff Scientist I

Staff Scientist I

Children’s NationalWashington, DC, US
Full-Time
Show moreLast updated: 30+ days ago
Principal Scientist - AI, Kumo Intelligent Tooling

Principal Scientist - AI, Kumo Intelligent Tooling

AmazonWashington, District of Columbia, US
12 days ago
Job type
  • Full-time
Job description

Job ID : 2790563 | Amazon Web Services, Inc.

AWS Support is looking for a high caliber Applied Scientist to build AI / GenAI experiences and foundations for Kumo Intelligent Tooling — the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support’s strategic initiative to transform its business and delivery model through GenAI.

Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button.

We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment.

You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems.

Key job responsibilities

  • Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support.
  • Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers.
  • Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members.
  • Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications.
  • Partner across AWS AI / GenAI service teams to influence and drive investment prioritization and product direction.
  • Evangelize our AI / GenAI innovations, results, and impact to customers, partners, and AWS senior leaders.

About the team

Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re : Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa.BASIC QUALIFICATIONS

  • Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI.
  • 7+ years of experience in AI and Machine Learning in industry.
  • Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI.
  • Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment.
  • Excellent written and verbal communication skills.
  • PREFERRED QUALIFICATIONS

  • 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and / or academia.
  • Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning.
  • Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance.
  • Posted : November 23, 2024 (Updated 1 day ago)

    J-18808-Ljbffr