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Jobgether

Full Stack Engineer, Machine Learning Tooling

Jobgether
USPosted 2 days ago
Full-timeremote
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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 Full Stack Engineer, Machine Learning Tooling based in the United States.

This role sits at the intersection of full stack engineering and machine learning infrastructure, focused on building internal tools that power ML and data science workflows. You will design and scale web-based applications that support model development, deployment, and monitoring across engineering and data teams. The work directly enables faster experimentation, better operational reliability, and improved ML-driven decision-making. You will collaborate closely with data scientists, backend engineers, and platform teams in a fast-moving, high-ownership environment. The role emphasizes hands-on development across frontend and backend systems, with a strong focus on reliability and scalability. It is ideal for an engineer who enjoys solving complex infrastructure-adjacent problems while staying close to product impact.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full Stack Engineer, Machine Learning Tooling based in the United States.

This role sits at the intersection of full stack engineering and machine learning infrastructure, focused on building internal tools that power ML and data science workflows. You will design and scale web-based applications that support model development, deployment, and monitoring across engineering and data teams. The work directly enables faster experimentation, better operational reliability, and improved ML-driven decision-making. You will collaborate closely with data scientists, backend engineers, and platform teams in a fast-moving, high-ownership environment. The role emphasizes hands-on development across frontend and backend systems, with a strong focus on reliability and scalability. It is ideal for an engineer who enjoys solving complex infrastructure-adjacent problems while staying close to product impact.

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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Full Stack Engineer, Machine Learning Tooling at Jobgether | Renata