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1,275

Machine Learning jobs in United States

Senior Machine Learning Engineer, Generative AI Innovation Center

Amazon

Singapore
On-site
SGD 100,000 - 150,000
Yesterday
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Tech Lead, Machine Learning Engineer - Search E-commerce

TIKTOK PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
Yesterday
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Machine Learning Engineer - Search recommendation

Gojek Group

Singapore
On-site
SGD 125,000 - 150,000
Yesterday
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Research Assistant (Ophthalmology)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore
On-site
SGD 20,000 - 60,000
Yesterday
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Lead Data Scientist

Referrals Only

Singapore
On-site
SGD 80,000 - 120,000
Yesterday
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Private Bank – AI Engineer – Assistant Vice President

Deutsche Bank AG

Singapore
Hybrid
SGD 70,000 - 90,000
Yesterday
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Research Scientist, Multimodal Interaction & World Model

BYTEDANCE PTE. LTD.

Singapore
On-site
SGD 70,000 - 120,000
Yesterday
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Data & AI Analyst

Ministry of Education

Singapore
On-site
SGD 80,000 - 100,000
Yesterday
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Research Scientist Graduate (Multimodal Interaction & World Model) - 2026 Start (PhD)

BYTEDANCE PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
2 days ago
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Specialist, ML Engineer

Merck

Singapore
On-site
SGD 80,000 - 100,000
Yesterday
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Research Engineer / Research Fellow (AI Agent) - JL

Karlstad University

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
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Research Fellow / Engineer (Food Engineering) - AZN5

Karlstad University

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
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Conversational AI Large Model Researcher-Global E-commerce-Soaring Star Talent Program

ByteDance

Singapore
On-site
SGD 20,000 - 60,000
Today
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GenAI Solutions Architect Manager

Amazon

Singapore
On-site
SGD 150,000 - 200,000
Yesterday
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Software Engineer Graduate (Analytical Database) - 2026 Start (BS/MS)

ByteDance

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
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Data Scientist - BCG X

Boston Consulting Group (BCG)

Singapore
On-site
SGD 75,000 - 100,000
Yesterday
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AI Engineer - Private Banking AVP (Hybrid)

Deutsche Bank AG

Singapore
Hybrid
SGD 70,000 - 90,000
Yesterday
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Lead Data Scientist — Drive AI Solutions & Strategy

Referrals Only

Singapore
On-site
SGD 80,000 - 120,000
Yesterday
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Senior Consultant - AI

Infosys Consulting

Singapore
On-site
SGD 90,000 - 120,000
Yesterday
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Specialist, AI Engineering

ALPHATOK TECHNOLOGY PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
Yesterday
Be an early applicant

APAC OpenShift Platform Leader

Red Hat Asia Pacific

Singapore
On-site
SGD 120,000 - 150,000
Yesterday
Be an early applicant

Full Stack Developer

Maestro Human Resource Pte Ltd

Singapore
Hybrid
SGD 75,000 - 95,000
Yesterday
Be an early applicant

ML Engineer

NTT Ltd

Singapore
On-site
SGD 80,000 - 110,000
2 days ago
Be an early applicant

Data and AI Technical Lead

SURBANA TECHNOLOGIES PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
2 days ago
Be an early applicant

Research Engineer (Computer Vision - Wildlife Species) - SH1

Karlstad University

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
Be an early applicant
Senior Machine Learning Engineer, Generative AI Innovation Center
Amazon
Singapore
On-site
SGD 100,000 - 150,000
Full time
Yesterday
Be an early applicant

Job summary

A leading cloud service provider in Singapore is seeking a Senior Machine Learning Engineer for its Generative AI Innovation Center. This role involves designing distributed training pipelines and customizing AI models for enterprise clients. Candidates should have over 5 years of software development experience and strong programming skills. The company promotes diversity and offers mentorship, career growth, and work-life balance in an inclusive environment.

Benefits

Mentorship opportunities
Flexible work environment
Inclusive company culture

Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming with at least one software programming language experience.
  • Experience as a mentor, tech lead, or leading an engineering team.

Responsibilities

  • Design and implement distributed training pipelines for LLMs.
  • Adapt LLMs for new languages, domains, and applications.
  • Optimize AI models for deployment on AWS Inferentia and Trainium.
  • Interact with enterprise customers to develop AI solutions.

Skills

Software development
Programming skills
Design patterns
Mentorship

Education

Bachelor's degree in computer science or equivalent
Job description
Senior Machine Learning Engineer, Generative AI Innovation Center

Amazon Web Services Singapore Private Limited

Location: ES, Community of Madrid, Madrid

Key Job Responsibilities
  • Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.
  • LLM Customization & Fine‑Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre‑training, fine‑tuning, and Reinforcement Learning with Human Feedback (RLHF).
  • Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.
  • Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co‑developing tailored generative AI solutions.
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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

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.

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

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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