Senior Machine Learning Engineer
ambiencehealthcare
Machine Learning Engineer
zaimler· Machine Learning
About this role
About Us
We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken.
Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges.
Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI.
About the job
We’re looking for a Founding Machine Learning Engineer to lead the development of our AI-driven knowledge discovery systems. This role is for someone who thrives in early-stage, high-impact environments, shaping both the technical foundation and strategic direction of our ML efforts. As a founding team member, you’ll take ownership of designing and deploying cutting-edge models and pipelines for Knowledge Extraction, Natural Language Understanding (NLU), and Information Retrieval while driving advances in unsupervised learning, and fine-tuning LLMs to build scalable, high-performance AI applications.
This role demands deep technical expertise and a builder mentality—someone who can move fast, make key architectural decisions, and iterate hands-on. You’ll work alongside the founders to shape the product roadmap, hire the ML team, and set the long-term AI vision, balancing rapid development with long-term scalability.
Frequently Asked Questions
Is the salary disclosed for the Machine Learning Engineer position at zaimler?
The salary for this Machine Learning Engineer role at zaimler is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Engineer position at zaimler located?
This Machine Learning Engineer role at zaimler is based in San Mateo, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Engineer role at zaimler full-time or part-time?
This is listed as a Full Time position. It is posted as a Machine Learning Engineer role in the Machine Learning department at zaimler.
Which team or department does the Machine Learning Engineer at zaimler belong to?
This Machine Learning Engineer position is part of the Machine Learning department at zaimler. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineer position at zaimler?
Click the "Apply Now" button on this page. You will be redirected to zaimler's official application portal hosted on lever where you can submit your application directly.
When was the Machine Learning Engineer job at zaimler posted?
This Machine Learning Engineer position at zaimler was posted on Aug 11, 2026. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineer
zaimler
You'll be redirected to zaimler's official application page on Lever.