Machine Learning Engineer

Who We Are:

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 that we are completely remote and hiring the best people we can find regardless of geography.

Role Overview:

As a Machine Learning Engineer at Interview Kickstart, you will play a crucial role in developing and deploying cutting-edge AI/ML solutions that enhance our platform and improve the learning experience for our students. You will work closely with data scientists, engineers, and product managers to build and scale robust and impactful machine learning models.

What will excite us:

• 3.5+ years of full-time experience at tier-1 product-based companies building statistical and machine learning models to address real-world business problems.
• Proficiency in Python.
• A deep understanding of foundational concepts in statistics, probability, linear algebra, and calculus.
• Proven expertise in traditional machine learning methods (e.g., regression, classification, clustering, tree-based models) and deep learning techniques (e.g., neural networks, CNNs, RNNs).
• Excellent communication skills, with the ability to present insights clearly to both technical and non-technical audiences.
• Strong quantitative abilities supported by an advanced degree in fields like computer science, engineering, machine learning, statistics, or mathematics.
• Experience in productionizing and maintaining machine learning models on cloud platforms (e.g., AWS, Azure, GCP) is a plus but not a must.

What will you be doing :

• You will be working closely with experienced developers to create and deploy machine learning solutions that drive growth and enhance learner experiences through AI.
• Interacting with stakeholders to clearly define business challenges and translating these challenges into actionable machine learning projects.
• Researching, experimenting, and iterating to discover and implement optimal methods for solving identified problems.
• Staying informed about recent developments in AI/ML, including key publications, best practices, evaluation methodologies, technology stacks, and relevant tools.
• Optionally, if you have expertise/interest in Generative AI, Retrieval-Augmented Generation (RAG), NLP, or transformer-based models, you'll have opportunities to contribute to projects requiring them as well.

What would excite you?

• Complete ownership
• Experiment, fail and learn.
• High pedigree, high calibre team.
• Contribute to every area of our business. Have a real impact on your work
• Top-of-the-line compensation.