About the course
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for students who want to become Machine Learning Engineers.As part of the course, students start with an introduction to basic ML algorithms and quickly advance to topics like large language models and generative AI. Through hands-on projects and practical exercises, they will master the entire machine learning pipeline, from data preprocessing and feature engineering to model deployment and scaling. They will gain proficiency in popular frameworks and tools like TensorFlow, Scikit-Learn, and AWS, equipping you with the ability to develop and deploy machine learning models at scale. The course goes beyond just the technical aspects of machine learning. Students also explore ethical considerations surrounding AI and learn how to build models that are fair, transparent, and unbiased. We'll cover topics like interpretability, bias detection, and privacy, ensuring students have a well-rounded understanding of the field.
The OpportunitySpringboard runs an online Machine Learning Engineering Career Track Bootcamp in which participants learn with the help of a case-study-based curriculum and 1-1 guidance from an expert mentor.
We are currently focused on seeking Machine Learning Engineers with proficient skills in Artificial Intelligence Design, Python/Python Libraries,SQL, AWS, Model Evaluations and Model Deployment. These individuals must be passionate about mentoring as Machine Learning Engineering, and can give a few hours per week in return for an honorarium, we would love to hear from you.Questions? Please write to us at [email protected]
The Program:
- Completely online and self-paced
- Students become proficient in Machine Learning Engineering with the help of a curated online curriculum and project-based deliverables
- Students are working professionals from all over the world
- Students have a biweekly 30-minute check in with their mentor to discuss questions, projects, and career advice!
- Students communicate with mentors outside of calls on an as-needed basis to support learning and career objectives
You:
- Are as passionate about teaching coding as about machine learning itself
- 3+ years of industry experience in machine learning engineering or data science
- Experience in Python Data Science Stack; using python and its standard libraries; building visualizations with Matplotlib and Seaborn;Writing code in Python using PEP 8 Standard
- Data Wrangling: Use Pandas to wrangle and clean data; working with different file formats, from plain text, to CSV, to JSON; relational and non-relational databases; SQL
- Machine Learning: Scikit-learn; ML techniques: linear and logistic regression, trees, and clustering;
- Deploying ML: Experience deploying ML solutions with a cloud service provider (at least one of AWS, GCP or Azure).
- Deep Learning Fundamentals: Familiarity with deep learning, computer vision, natural language processing
- Expertise in Python, libraries like TensorFlow and PyTorch, SQL, cloud ML, etc.
- Experience working with large language models and generative AI, such as training and fine-tuning language models for specific tasks.
- Knowledge of cloud-based deployment strategies for large AI models and practical experience with model versioning and reproducibility.
- Degree/Certifications in machine learning/AI/data science preferred
- Have experience critiquing work, in particular giving meaningful feedback on machine learning engineering and are able to think on your feet quickly
- Are empathetic and have excellent communication skills
- Bonus points if you know American Sign Language (ASL) or have teaching experience
- Receive a monthly per-student honorarium between $14.03 - $25.50 USD per 30 minute call per student
- Membership in a rich community of expert mentors from great companies like AirBnB, Uber, Google, and Pivotal
- Change the lives of students in our program
- Help us revolutionize online education and inspire the next generation of software engineers!
- Work at your convenience
We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
United States
