by Tyler Nguyen
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LizAI Vietnam
LizAI – Providing Life-Changing Solutions To Patients
- Company type: IT Product
- Company size: 1-50 employees
- Country: United States
- Working days: Monday – Friday
(Mid/Senior) Machine Learning Engineer



Job description
General Summary
LizAI is seeking a talented individual who is passionate about building the next generation of AI in Healthcare. You will work with many cross-functional teams and be responsible for, but not limited to, designing, building, and maintaining the highly scalable platform. You are expected to display a high level of determination to complete work in a resourceful and proactive manner.
Key Responsibilities
- As a software engineer, you will work on multiple projects critical to LizAI’s needs, with our fast-paced business growing and evolving. Our engineers need to be versatile and enthusiastic about tackling new problems across the full-stack as we continue pushing technology forward.
- You will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
- Design, code, and test new features, making marked contributions to the application and process, emphasizing performant, decoupled, testable, and maintainable code.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Lead and mentor new hires or junior engineers.
- Report the data to the team.
- Comply with the data storage policies of LizAI.
- Possible international business travels.
Your skills and experience
Preferred qualifications:
- 2 years of experience with machine learning algorithms and tools (e.g., large language model), artificial intelligence, deep learning, and/or natural language processing.
- Ability to work with a diverse, global community-based in many different locations and time zones.
- Demonstrate excellent teamwork and leadership skills.
- Excellent verbal and written communication skills and ability to manage multiple tasks while meeting timelines and adapting to changing priorities.
- Strong organizational skills, high attention to detail, and ability to work in a collaborative, cross-functional environment.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms in an academic or industry setting.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, Scikit Learn, or Keras.
- Experience with natural language processing (NLP) and conversational AI.
- Experience in building up end-to-end Machine Learning pipelines.
- Good command of English communication.
Why you’ll love working here
- LizAI offers opportunities for your career growth and competitive compensation.
- Our consideration will be entirely based on your performance.
- Our leaders at every level, including the senior leaders from Harvard University, well-known institutions, and corporations, will provide training and support to your growth. Domestic and international trainings will be included and based on your performance.
- Compensation includes monthly (base) salary, year-end bonus (13th month-salary and more), and performance-based bonuses.
- Monthly (base) salary is negotiable and up to $ 2,000.
- Factors for consideration are level, job-related skills, experience, and relevant education or training.
- Your compensation and promotion will be reviewed and adjusted at any time as you grow and develop within the role.
- Additional benefits include, but not limited to, soft-skills, English, and technical trainings.
- We look forward to sharing additional details on compensation during your hiring process.