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Lai

Senior · Staff · Principal Machine Learning Engineer

San Francisco

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hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
1 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Senior / Staff / Principal Machine Learning Engineer

Location: Onsite San Francisco (5 days onsite AND hybrid options)

We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.

Key Responsibilities:

  • Model Development:
  • Designing and implementing ML algorithms and models, including deep learning models.
  • Data Handling:
  • Preprocessing, analyzing, and preparing large datasets for model training and evaluation.
  • System Integration:
  • Collaborating with software engineers to integrate ML models into production systems.
  • Performance Optimization:
  • Continuously improving and optimizing ML models for accuracy, efficiency, and scalability.
  • Monitoring and Maintenance:
  • Monitoring model performance in production, troubleshooting issues, and ensuring model reliability.
  • Staying Updated:
  • Keeping abreast of the latest advancements in ML, AI, and related technologies.
  • Collaboration:
  • Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.

Essential Skills:

Programming Languages: Strong proficiency in Python, R, or other relevant languages.

ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms.

Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges.

Communication: Effective communication skills to convey technical information to both technical and non-technical audiences.

Collaboration: Ability to work effectively in a team environment.

Education and Experience:

A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.

Several years of experience in machine learning, data science, or software development is often preferred.

Compensation: Market range and can include equity – details can be provided after the specific client is determined.

Original posting on Lai's site ↗

Listed on hirly, a job board. hirly is not the employer: Lai is hiring for this role.

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