Junior ML Engineer - Mentored, Ship Models to Production

Sierracorp; San Francisco (CA); On-site; USD 34,440 - 48,216; Part time

Job summary

Sierracorp in San Francisco is looking for a Machine Learning Intern to support model development, coding, and data analysis. This hands-on role involves collaboration with senior engineers, undertaking real-world ML tasks, and participating in experiments. Candidates should have some understanding of machine learning fundamentals and proficiency in Python. Experience with SQL, Git, and data visualization is a plus. Sierracorp is dedicated to bridging the talent gap for AI startups and values collaboration and mentorship.

Qualifications

• 0–5 years of experience in ML/data science.
• Familiarity with deep learning frameworks is a plus.
• Experience with cloud platforms is valuable.

Responsibilities

• Assist in building and iterating on ML models.
• Write clean, well-tested Python code.
• Perform exploratory data analysis on datasets.
• Run A/B tests and document findings.
• Maintain and improve existing ML pipelines.
• Collaborate with data engineers on data management.
• Engage in code reviews and sprint ceremonies.

Skills

Machine Learning fundamentals

Python

NumPy

Pandas

scikit-learn

SQL

Git

Tools

Jupyter Notebooks

PyTorch

TensorFlow

Job description

Sierracorp in San Francisco is looking for a Machine Learning Intern to support model development, coding, and data analysis. This hands-on role involves collaboration with senior engineers, undertaking real-world ML tasks, and participating in experiments. Candidates should have some understanding of machine learning fundamentals and proficiency in Python. Experience with SQL, Git, and data visualization is a plus. Sierracorp is dedicated to bridging the talent gap for AI startups and values collaboration and mentorship.