Mentor - Machine Learning for Engineers: B2B (Part-time/Remote)

The Opportunity

In our relentless pursuit of impacting lives by imparting job-ready skills, we’ve identified up skilling data scientists, engineers, and other related professionals with the skills they’ll need to perform advanced machine learning on the job as an important goal.  

Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes. 

We are looking for mentors for our short Machine Learning course that we have designed as an up skilling course for engineers. If you are as passionate about mentoring as you are about machine learning, and can give a minimum of one hour per week in return for an honorarium, we would love to hear from you.

About the program:

• Completely online course for working professionals 
• 10-week course designed for Data Scientists who want to up skill and become Machine Learning Engineers
• Students would complete small scale projects and a longer, iterative project that builds upon previous steps in these 10 weeks. The individual project would be focused on solving a real/current business problem during the course.
• Students go through the curriculum on their own
• Students have a weekly 30-minute video call with their mentor to discuss questions and project work
• As part of the course, students go through an intensive curriculum designed to up skill working data scientists to leverage advanced machine learning models. They start with a review of preparing data for modeling and data exploration, followed by an overview of the Machine Learning lifecycle. Most of the course is a deep dive into Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale, and deploy applications and how to interpret model results. Throughout the course, they work on an iterative project whose ultimate goal is not just to solve a business problem using ML/DL, but to create a small scale running application that they can showcase.

Your responsibilities:

As a mentor, you will:

• Guide students through technical challenges they face and questions they have about the curriculum, assignments or their individual project
• Provide structured, constructive feedback on their assignments and the project to help them build the skills and confidence to apply their machine learning skills in the real world
• Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
• Meet with each of your students for 30 minutes each week via a zoom video call to discuss questions, projects, and career advice!
• Communicate with students outside of weekly check-ins on an as-needed basis to support learning and career objectives

Benefits:

• As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
• Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
• Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
• Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
• Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.

What we’re looking for

• Have at least 3 years experience as a Machine Learning Engineer or related fields
• You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling
• You are an experienced machine learning engineer or senior data scientist skilled at using Python and data science libraries such as Scikit-learn, Pandas, PyTorch, TensorFlow, and Keras to leverage machine learning to problems problems
• You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNN, and so on. AutoML solutions will also be explored.
• You have strong understanding of feature engineering, model evaluation, statistics, and ML Ops
• You have a strong understanding of best practices for machine learning workflows including version control, testing, monitoring deployed models, and debugging
• As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
• You are available for weekly, 30-minute video check-ins for each student to help them set and achieve learning goals and to provide feedback. 
• You are available outside of weekly calls for each student to review projects and answer questions as needed

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.