AI Training Program San Jose at Borderline Labs (Recent Computer Science Graduates)
Borderline Labs· Recent Computer Science Graduates·
Role details
Job description
Job Title: Python Trainee – Machine Learning Training Program (Bay Area Residents Only) Location: Remote (Must reside in the San Francisco Bay Area) Duration: 3-Month Training Program
🚀 About the Program Are you a recent graduate eager to apply your Python skills in a real-world setting? We’re offering a unique 3-month remote training program designed to give hands-on experience working with a live company on real machine learning projects. This is more than just coursework — it’s a launchpad into your tech career.
🧠 What You’ll Learn
- Practical machine learning workflows and model building
- Data preprocessing, feature engineering, and evaluation
- Tools like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch
- Working in a collaborative development environment
- Exposure to real data and live project cycles
✅ Requirements Recent graduate (within the past 1–2 years) Strong foundation in Python programming Interest in machine learning and data science Must currently reside in the San Francisco Bay Area
🌍 Perks
- Remote flexibility with local Bay Area network
- Real-world mentorship and guidance
- Certificate of completion and potential referrals
- Opportunity to build portfolio-ready ML projects
Why work at Borderline Labs
- Culture: A small, builder‑minded team that thrives in the “messy middle” of startup growth. Emphasis on autonomy, ownership, and direct impact on client outcomes.
- Work model: Likely remote‑friendly given the consulting nature; headquarters in Menlo Park, CA.
- Perks: Opportunity to work across multiple startups and industries, gain exposure to fundraising, GTM, and cross‑border operations. Ideal for someone who enjoys variety and problem‑solving over repetitive tasks.
- Engineering culture: Not applicable (operations‑focused, not product‑engineering). However, the role involves designing workflows and tooling rationalization, so systems thinking is valued.