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Software Development Engineer (ML), AGI Customization

Amazon

Torino

In loco

EUR 110.000 - 191.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

A global technology company in Piemonte, Torino is seeking a passionate Software Development Engineer (ML) to advance customization capabilities in machine learning. The ideal candidate has a strong background in software development and machine learning, with experience in programming and Agile methodologies. Employees enjoy a supportive environment that values work-life balance and offers career growth opportunities. Competitive compensation and various benefits are included.

Servizi

Flexible working hours
Mentorship opportunities
Work-life balance

Competenze

  • 3+ years of professional software development experience.
  • 2+ years of design or architecture experience.
  • Experience programming with at least one software programming language.

Mansioni

  • Investigate design approaches and prototype new technology.
  • Process data and scale machine learning models while optimizing.
  • Deliver high-quality software in an Agile/Scrum environment.

Conoscenze

Software development
Machine learning
Agile/Scrum
Programming

Formazione

Bachelor's degree in computer science or equivalent
Descrizione del lavoro
Software Development Engineer (ML), AGI Customization

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, distillation, model evaluation, prompt optimization, etc. 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

The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high‑performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high‑quality technology products/services in a hyper‑growth environment.

Responsibilities
  • 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.
  • 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
  • 3+ years of non‑internship professional software development experience.
  • 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • Experience programming with at least one software programming language.
Preferred Qualifications
  • 3+ 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 or 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 $129,300/year in our lowest geographic market up to $223,600/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 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.

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