Sr. Research Engineer, Machine Learning, AGI Foundations

Amazon; Asti; In loco; EUR 151.000 - 262.000; Tempo pieno

Descrizione del lavoro

A leading technology company is looking for a Senior Research Engineer specialized in machine learning to develop multimodal large-language foundational models. Responsibilities include leading algorithm development and optimizing workflows. Candidates should have over 5 years of software development experience and a Master's degree in machine learning. This position is located in the Piemonte region of Italy, offering competitive compensation and a dynamic working environment.

Servizi

Competitive salary

Medical benefits

Employee equity options

Competenze

• 5+ years of professional software development experience.
• 5+ years of programming experience.
• Experience leading engineering teams.

Mansioni

• Lead development of multimodal LLMs.
• Optimize training workflows and techniques.
• Deliver results independently in an Agile environment.

Conoscenze

Software development

Machine learning

Programming language expertise

Design architecture

Mentorship

Formazione

Master's degree in machine learning

Strumenti

NeMo

Megatron Core

PyTorch

Jax

vLLM

TRT

Descrizione del lavoro

Sr. Research Engineer, Machine Learning, AGI Foundations

Job ID: 3121517 | Amazon.com Services LLC

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands‑on machine learning background, to lead the development of industry‑leading multimodal large‑language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post‑training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.

Key job responsibilities

• Responsible for pre and post‑training multimodal LLMs.
• Scale training of models on hyper large GPU and AWS Trainium clusters.
• Optimize training workflows using distributed training/parallelism techniques.
• Optimize low‑level details of the training stack, including CUDA kernels, communication collectives, network I/O.
• Utilize, build and extend upon industry‑leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc).
• Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility.
• Deliver results independently in a self‑organizing Agile environment while constantly embracing and adapting new scientific advances.

About the team: The AGI Foundations team is responsible for building industry‑leading Generative AI Foundational Models.

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.
• 2+ years of practical machine learning experience.

Preferred Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Master’s degree in machine learning or equivalent.
• Hands‑on experience and expertise in training Foundational Models/LLMs, and/or low‑level optimization of ML training workflows, CUDA kernels, network I/O.

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.

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.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.