Software Development Engineer (ML), Hippo Engineering
Apply NowCompany: Amazon
Location: Boston, MA 02115
Description:
Are you passionate about advancing the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! Our team powers the Amazon Nova family of models, and we are looking for a driven and adaptable SDE to join us.
As an SDE on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems for generating, appraising, and processing data. You will also collaborate closely with Applied Scientists on modeling experiments and prototypes.
We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.
Key job responsibilities
Develop and maintain key components for data generation, preparation, and appraisal.
Manage project prioritization, deliverables, and timelines.
Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility.
Communicate effectively with both technical and business partners.
Operate in a dynamic environment to deliver high quality software against competitive schedules with rapidly-evolving priorities.
About the team
Hippo Engineering is primarily responsible for developing a scalable machine learning (ML) solution that encompasses synthetic data generation, ingestion, classification, and transformation to DPO and SFT.
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
- Experience fine tuning ML models
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
As an SDE on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems for generating, appraising, and processing data. You will also collaborate closely with Applied Scientists on modeling experiments and prototypes.
We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.
Key job responsibilities
Develop and maintain key components for data generation, preparation, and appraisal.
Manage project prioritization, deliverables, and timelines.
Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility.
Communicate effectively with both technical and business partners.
Operate in a dynamic environment to deliver high quality software against competitive schedules with rapidly-evolving priorities.
About the team
Hippo Engineering is primarily responsible for developing a scalable machine learning (ML) solution that encompasses synthetic data generation, ingestion, classification, and transformation to DPO and SFT.
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
- Experience fine tuning ML models
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.