Junior Machine Learning Engineer

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

Launch your ML career where your curiosity ships to production from day one. You will work alongside senior engineers on real-world ML problems, building features, running experiments, and shipping models to production while being mentored every step of the way. This is a hands-on role where you will be contributing to models that real users interact with immediately.

• Assist in building and iterating on ML models under guidance.
• Write clean, well-tested Python code for data preprocessing, feature engineering, and model evaluation.
• Explore datasets through Exploratory Data Analysis (EDA) to surface insights and data quality issues.
• Run A/B and offline experiments, documenting and presenting findings.
• Maintain and improve existing ML pipelines, including fixing bugs and optimizing performance.
• Collaborate with data engineers to access, clean, and transform training data.
• Participate actively in code reviews and sprint ceremonies.

Requirements

Key Focus: Learn, execute, and grow under mentorship.

Required Skills:

• 0–5 years of professional or project-based experience in ML/data science.
• Proficiency in Python, including NumPy, Pandas, and scikit-learn, plus familiarity with a deep learning framework (PyTorch or TensorFlow).
• Solid grounding in ML fundamentals, including regression, classification, and evaluation metrics.
• Familiarity with SQL for querying databases and experience using Jupyter Notebooks for analysis.
• Working knowledge of Git and collaborative development workflows.

Valuable Experience (Nice to Have):

• Internship, capstone, or Kaggle competition experience.
• Exposure to cloud platforms (AWS, GCP, or Azure).
• Familiarity with experiment tracking tools (MLflow or Weights & Biases).

About the Company

SierraCorp AI Staffing is a specialized engineering recruitment firm dedicated to solving the talent gap for high-growth startups by placing elite AI and Machine Learning engineering talent. Unlike generalist agencies, our focus is laser-sharp, exclusively covering roles at the intersection of AI and infrastructure, including ML, Data Science, and MLOps Engineers. Our technical depth is a key differentiator, as our recruiters are former engineers who thoroughly pre-vet every candidate, assessing technical depth and coding ability before submission. We prioritize speed and precision, delivering a curated slate of qualified candidates within an average of 5–7 business days, supported by proprietary AI-powered sourcing tools. Whether you need full-time permanent hires or flexible part-time contractors, SierraCorp is built for long-term partnership and mutual success.