Sr. Software Dev. Engineer/MLE, AGI Customization

Amazon; Novara; In loco; EUR 130.000 - 226.000; Tempo pieno

Descrizione del lavoro

A leading technology company is seeking a passionate ML Engineer to develop new customization capabilities for machine learning models. This role will involve collaboration with Applied Scientists to advance large language models and requires over 5 years of software development experience. Join a team that values mentorship and work-life balance while delivering high-quality software in an Agile environment.

Servizi

Flexible working hours

Mentorship and career growth

Comprehensive benefits package

Competenze

• 5+ years of non‑internship professional software development experience.
• Experience leading design or architecture of systems.
• Mentorship or tech lead experience.

Mansioni

• Investigate design approaches and evaluate technical feasibility.
• Process data and optimize machine learning models.
• Deliver high quality software in an Agile/Scrum environment.

Conoscenze

Software development

Machine learning

Programming

Team leadership

Design patterns

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 Responsibilities

• Investigate design approaches, prototype new technology and evaluate technical feasibility with other team engineers.
• Process data, scale machine learning models while optimizing with Applied Scientists.
• Deliver high quality software in an Agile/Scrum environment.

About the Team

Mentorship & Career Growth – Our team supports new members, provides one‑on‑one mentoring and thorough code reviews to help members grow into better‑rounded engineers and take on more complex tasks.

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.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.
• Experience as a mentor, tech lead or leading an engineering team.

Preferred Qualifications

• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor’s degree in computer science or equivalent.

Equal Opportunity Employer

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.

Compensation and Benefits

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.

Position will remain posted until filled. Applicants should apply via our internal or external career site.