Sr. Software Dev. Engineer/MLE, AGI Customization

Amazon; Torino; Ibrido; EUR 128.000 - 223.000; Tempo pieno

Descrizione del lavoro

A global technology company is seeking a Senior Software Development Engineer/MLE in Torino, Italy, to drive the development of cutting-edge machine learning solutions. The role focuses on novel training techniques for large language models and involves collaboration with other engineers and scientists in an Agile environment. Ideal candidates will possess extensive software development experience and leadership skills in engineering teams. This position offers flexible working hours and fosters a focus on work-life balance.

Servizi

Flexible working hours

Mentorship opportunities

Career growth support

Competenze

• 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 of systems experience.
• Experience as a mentor or leading an engineering team.

Mansioni

• Investigate design approaches and evaluate technical feasibility.
• Scale machine learning models while optimizing in collaboration with applied scientists.
• Deliver high quality software in an Agile/Scrum environment.

Conoscenze

Software development

Machine learning

Agile methodology

Programming languages

Formazione

Bachelor's degree in computer science or equivalent

Descrizione del lavoro

Sr. Software Dev. Engineer/MLE, AGI Customization

Job ID: 2967711 | Amazon.com Services LLC

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation. As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.

Key job responsibilities

• Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
• Work closely with Applied scientists to process data, scale machine learning models while optimizing.
• Will work in an Agile/Scrum environment to deliver high quality software.

About the team

Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Work/Life Balance: Our team puts a high value on work-life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

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

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

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.