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Urgent! MTS-ML Infra, AGI Job Opening In San Francisco – Now Hiring Amazon
Description
Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems?
If so, you're at the right place! We are the AGI Autonomy organization, and we are looking for a driven and talented Member of Technical Staff to join us to build state-of-the art agents.
AGI Autonomy is focused on developing new foundational capabilities for useful AI agents that can take actions in the digital and physical worlds.
In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus.
Our philosophy combines the agility of a startup with the resources of Amazon.
Key job responsibilities
* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist.
* Develop reliable infrastructure to schedule training and model evaluation jobs across clusters.
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs.
* Manage project prioritization, deliverables, timelines, and stakeholder communication.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Operate in a dynamic environment to deliver high quality software.
About the team
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds.
In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal.
Our philosophy combines the agility of a startup with the resources of Amazon.
By keeping the team lean, we’re able to maximize the amount of compute per person.
Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
Basic Qualifications
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Excellent knowledge of theory and practice of ML
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our 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.
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Unlock Your MTS ML Potential: Insight & Career Growth Guide
Real-time MTS ML Jobs Trends in San Francisco, United States (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 MTS ML in San Francisco, United States 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 2850 jobs in United States and 171 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in MTS ML 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 MTS ML Infra, AGI to join their team. Feel free to download the job details.
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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 MTS ML Infra, AGI Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. 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 MTS ML Infra, AGI typically include Other General 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.
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Before the Interview:To prepare for your MTS ML Infra, AGI 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.
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