[Remote-Position] Part-time Machine Learning Mentor (US)
Key Job Details:Start Date: Immediate openings availableLocation: RemoteCompensation: a competitive salaryCompany: WorkwarpPosition: Part-time Machine Learning Mentor (US)Â Â Who are we, you ask?
Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren't adequately prepared. That's where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as "the everything store" for career transitions and interview skill development.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
 Career Accelerator Course
 Comprehensive end-to-end courses and platform
 A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
 A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
 Career Accelerator Course
 Comprehensive end-to-end courses and platform
 A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
 A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
We are looking for ML Engineers/Applied Scientists, SWEs (ML domain), with a strong passion for teaching to join us as part-time instructors to teach Machine Learning. This role will provide opportunities to network with other experts, understand learner issues and contribute to the AI/ML community at large.
Role:
 To be an effective machine learning subject matter expert, the requirements typically include a combination of in-depth technical expertise, teaching experience, and communication skills
 Should have hands-on experience in any one of the following:
 Deep Learning - Neural Networks, Neural Architecture & Modern ML Architecture
 Computer Vision
 Natural Language Processing
 Generative AI
 Reinforcement Learning
 MLOps
 Minimum five years of experience in tier-1 Tech companies as an ML Engineer or Scientist
 Preparing engaging and well-structured content on one or more topics listed above
 Ability to simplify complex topics and explain them in an engaging manner
 High levels of empathy to understand the challenges faced by students and willingness to help them out
 PhD in Computer Science/Applied Mathematics/Statistics is preferred
Responsibilities:
 Curriculum Development: The instructor is responsible for assisting our subject matter expert(machine learning) with technical review and providing suggestions on the machine learning teaching curriculum per the overall learning objective and industry requirements
 Instruction Delivery: Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and methodologies. Instructors may use various teaching methods, including lectures, demonstrations, hands-on exercises, and group discussions
 Industry Engagement: Staying current with the latest trends and advancements in machine learning and related fields. Engaging with industry professionals and collaborating on projects or internships to provide students with real-world experiences
 Research and Development: Conducting research in machine learning and contributing to developing new techniques, models, or applications
 Constantly improve the session flow and delivery by working with other instructors, subject matter experts, and the IK team
 Help the IK team in onboarding and training other instructors and coaches
 Have regular discussions with IK's curriculum team in evolving the curriculum
 Should be willing to work on weekends/evenings and be available as per the Pacific time zone Apply Job! Ready to Apply?If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.
Apply Now
Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren't adequately prepared. That's where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as "the everything store" for career transitions and interview skill development.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
 Career Accelerator Course
 Comprehensive end-to-end courses and platform
 A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
 A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
 Career Accelerator Course
 Comprehensive end-to-end courses and platform
 A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
 A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
We are looking for ML Engineers/Applied Scientists, SWEs (ML domain), with a strong passion for teaching to join us as part-time instructors to teach Machine Learning. This role will provide opportunities to network with other experts, understand learner issues and contribute to the AI/ML community at large.
Role:
 To be an effective machine learning subject matter expert, the requirements typically include a combination of in-depth technical expertise, teaching experience, and communication skills
 Should have hands-on experience in any one of the following:
 Deep Learning - Neural Networks, Neural Architecture & Modern ML Architecture
 Computer Vision
 Natural Language Processing
 Generative AI
 Reinforcement Learning
 MLOps
 Minimum five years of experience in tier-1 Tech companies as an ML Engineer or Scientist
 Preparing engaging and well-structured content on one or more topics listed above
 Ability to simplify complex topics and explain them in an engaging manner
 High levels of empathy to understand the challenges faced by students and willingness to help them out
 PhD in Computer Science/Applied Mathematics/Statistics is preferred
Responsibilities:
 Curriculum Development: The instructor is responsible for assisting our subject matter expert(machine learning) with technical review and providing suggestions on the machine learning teaching curriculum per the overall learning objective and industry requirements
 Instruction Delivery: Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and methodologies. Instructors may use various teaching methods, including lectures, demonstrations, hands-on exercises, and group discussions
 Industry Engagement: Staying current with the latest trends and advancements in machine learning and related fields. Engaging with industry professionals and collaborating on projects or internships to provide students with real-world experiences
 Research and Development: Conducting research in machine learning and contributing to developing new techniques, models, or applications
 Constantly improve the session flow and delivery by working with other instructors, subject matter experts, and the IK team
 Help the IK team in onboarding and training other instructors and coaches
 Have regular discussions with IK's curriculum team in evolving the curriculum
 Should be willing to work on weekends/evenings and be available as per the Pacific time zone Apply Job! Ready to Apply?If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.
Apply Now