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Jobgether

Sr ML Infrastructure Engineer, E2E Autonomy

USPosted 3 days ago
Full-timeremote

Job Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr ML Infrastructure Engineer, E2E Autonomy based in United States.

This role sits at the cutting edge of machine learning infrastructure and robotics, focused on building the end-to-end systems that power autonomous machines operating in real-world environments. You will help design and scale the full ML lifecycle—from data ingestion and training pipelines to on-vehicle inference and reinforcement learning feedback loops. The position plays a critical role in enabling large-scale deployment of intelligent robotic systems across complex domains such as agriculture and heavy machinery. You will work closely with ML engineers, robotics specialists, and product teams to translate research and real-world data into production-grade systems. This is a highly cross-functional and hands-on engineering role where ambiguity is expected, iteration is fast, and impact is tangible in the field. Your work will directly shape the future of end-to-end autonomy and its real-world applications.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr ML Infrastructure Engineer, E2E Autonomy based in United States.

This role sits at the cutting edge of machine learning infrastructure and robotics, focused on building the end-to-end systems that power autonomous machines operating in real-world environments. You will help design and scale the full ML lifecycle—from data ingestion and training pipelines to on-vehicle inference and reinforcement learning feedback loops. The position plays a critical role in enabling large-scale deployment of intelligent robotic systems across complex domains such as agriculture and heavy machinery. You will work closely with ML engineers, robotics specialists, and product teams to translate research and real-world data into production-grade systems. This is a highly cross-functional and hands-on engineering role where ambiguity is expected, iteration is fast, and impact is tangible in the field. Your work will directly shape the future of end-to-end autonomy and its real-world applications.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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Sr ML Infrastructure Engineer, E2E Autonomy at Jobgether | Renata