Machine Learning Engineer
Company: Cognistack Location: San Mateo, CA (On-site) Employment Type: Full-time Salary: $125,000 - $250,000/year Experience Level: Senior (5-7 years) Education Level: Master’s
About Cognistack At Cognistack, we deliver more than talent—we deliver the future. We specialize in connecting high-growth startups and innovation-driven enterprises with elite talent across AI/ML, core engineering, cloud, cybersecurity, and enterprise technology.
Our approach is consultative, agile, and built for scale—designed to help companies grow faster, hire smarter, and build transformational teams. Whether you’re scaling your engineering org, launching a disruptive SaaS product, or expanding your digital infrastructure, Cognistack provides the recruiting power to help you hire at the speed of innovation.
Our Focus We are core startup recruiters with a sharp focus on:
Artificial Intelligence & Machine Learning
Cloud, DevOps, and Platform Engineering
Robotics & Data Infrastructure
Cybersecurity & Data Privacy
Workday & Enterprise ERP
Fintech & Digital Health
We work with clients across Series A to Fortune 500, providing permanent, contract, and embedded recruiter solutions.
Why Cognistack? You need more than resumes. You need a partner who understands technology, culture fit, and the urgency of building in real time. Our recruiters come from technical and startup backgrounds, allowing us to:
Speak the language of engineers and founders
Deliver qualified shortlists in days—not weeks
Build long-term pipelines, not one-time hires
We combine next-gen sourcing tools with trusted industry relationships to help you hire fast—without compromising quality.
Role Overview We’re seeking a Machine Learning Engineer to join our team.
Responsibilities
Design, develop, and maintain robust and scalable software applications using Python.
Create, tune, and implement custom machine learning models and embeddings to enhance product capabilities.
Collaborate with cross-functional teams to define, design, and ship new features.
Participate in code reviews, testing, and debugging to ensure high-quality software delivery.
Develop backend components to improve responsiveness and overall performance.
Troubleshoot and resolve software defects and issues.
Contribute to all phases of the development lifecycle, from concept and design to testing and deployment.
Stay updated with the latest industry trends and technologies to bring innovative solutions to the team.
Required Skills
Python
Machine Learning
Deep Learning
MLOps
Cloud Platforms
Startup Development
Startup Environments

Machine Learning Engineer

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