Senior Machine Learning Engineer

Key Responsibilities:

Generative

AI Foundation:

• Design,develop, and maintain highly friendly and customized smart agents with human characteristics to help lonely people, especially seniors.
• Evaluate large language models and new advanced technologies to setup AI foundation.
• Usemodern Generative AI technologies, like LLM fine tuning, prompt engineering, few-shot examples and RAG, to make agents faster and better.
• Design,develop, and continuously improve technologies to quickly detect and notify abnormal situations.
• Learn from users and build highly personalized agents.

Platform:

• Build and optimize large-scale, highly efficient and highly reliable multi-tenant, multi-agent AI Platform.

• Design and implement RESTful APIs to support mobile apps and multiple B2B partners.

• Build data foundation and pipelines for ML model training.

Integration and Deployment:

• Implement CI/CD/CT pipelines to automate the testing, building, training, evaluation, and deployment of AI products.

• Work with cloud services (e.g., AWS, Azure, Google Cloud) to deploy back-end AI services.

Collaboration:

• Collaborate with product managers, designers, and other engineers to define project requirements and deliverables.

• Participate in code reviews, contribute to best practices, and mentor junior engineers.

Performance Optimization:

• Optimizevapplications for maximum speed and scalability.

• Monitor and address performance issues, crashes, and other technical challenges.

Testing and Quality Assurance:

• Write unit, integration, and end-to-end tests to ensure the reliability of the mobile applications.

• Collaborate with QA teams to conduct manual and automated testing.

Please note that at this stage, this is an equity-only position, well provide a competitive salary and benefits after seed funding.

Qualifications:

Education:

• Bachelor,
• Master, PhD degree in Computer Science, Engineering, or a related field.

Experience:

• 8+ years of experience in backend and platform development.

• 2+ years of proven experience with AI technologies.

• Familiarity
• with cloud platforms (e.g., AWS, Azure, Google Cloud).

Skills:

• Strong understanding of large-scale platforms.

• Proficiency in writing clean, maintainable, and scalable code.

• Familiarity with Agile/Scrum development methodologies.

• Strong problem-solving and debugging skills.

• Excellent communication and teamwork abilities.

Preferred

Qualifications:

• Experience in Generative AI related technologies.

• Experience in advanced Machine Learning model training.

• Familiarity with machine learning or AI integration in mobile apps.