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2 machine learning engineer jobs found

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Software Engineer machine learning engineer $200,000 and up
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Machine Learning  (3) Data Scientist  (2) Machine Learning Engineer / Data Scientist  (1) Sales  (1) Business Development  (1) Finance  (1)
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Full time  (2)
ESR Healthcare
Jan 13, 2026
Full time
C++ Software Engineer Pittsburgh, PA
$99,999 daily
ESR Healthcare Pittsburgh, PA
C++ Software Engineer Pittsburgh, PA Full Time Mid Level   Your Role We’re seeking a versatile and talented C++ Software Engineer to join our team. In this role, you’ll develop software that brings our 3D sensors to life, crafting intuitive user interfaces, powerful APIs, and real-time systems that interact seamlessly with our hardware. This is a hands-on, impactful position where you’ll work across the software stack to help shape the future of robotics safety. ​What You'll Do Design and develop 3D user interfaces for configuring and visualizing sensor data, using frameworks like Qt/QML or equivalent modern tools. Create robust APIs for sensor configuration, visualization, and real-time interaction with 3D data. Work closely with hardware engineers to integrate software with real-time sensor systems. Optimize software performance for low-latency, high-efficiency operation in real-time environments. Debug, test, and refine code to ensure reliability...
ESR Healthcare
Jan 23, 2026
Full time
Staff Software Engineer, Growth San francisco
$99,999 daily
ESR Healthcare San Francisco, CA
Staff Software Engineer, Growth San francisco     Description: Build the data infrastructure for robots operating in the real world. Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened.   About the role We’re looking for a Staff Growth Engineer to join Foxglove and embed directly with our Growth team. In this role, you’ll own critical parts of the customer journey; from acquisition and onboarding to activation, monetization, and expansion; by building, iterating, and experimenting directly in the product. This is not a “growth hacks” role. You’ll work at the intersection of engineering, product, data, and design to identify leverage points, run experiments, and ship durable improvements that meaningfully impact user outcomes and revenue....
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