Software Engineer , Machine Learning

Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.

Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart’s vision is to help every tech professional thrive in today’s fast-evolving tech industry.

With 40+ domain-specific courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA—Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors—industry practitioners, hiring managers, and senior engineers from FAANG+ companies—bring real-world insight and cutting‑edge expertise into every classroom.

Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and Linked In branding, career coaching, salary negotiation guidance, and performance‑based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.

Recognized by TIME x Statista and GSV 150 as a top EdTech company, Interview Kickstart is the go‑to platform for tech professionals looking to future‑proof their careers in the age of AI.

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.

We have a structured approach to interview success, which includes:

• 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.

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 as an ML engineer at tier‑1 product‑based companies.
• Hands‑on experience fine‑tuning open‑source large language models (LLMs) and successfully deploying and maintaining them in scalable production environments on cloud platforms (e.g., AWS, Azure, GCP).
• Hands‑on experience building statistical and machine learning models.
• 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).
• Proficiency in Python.

Good to have :

• Excellent communication skills, with the ability to present insights clearly to both technical and non‑technical audiences.
• A deep understanding of core concepts in statistics, probability, linear algebra, and calculus.
• Strong quantitative abilities, typically supported by an advanced degree (masters or PhD) in fields like Machine Learning, Statistics, or Mathematics.
• Contributions to open‑source ML projects.

What will you be doing? :

• Collaborate closely with stakeholders to understand business challenges deeply and translate these challenges into well‑defined machine learning problems and actionable project requirements to drive business growth and enhance…