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ML Research Intern in Agentic Runtime Systems(m/w/x)
Architecting error-resilient loops and verification layers for self-correcting ML agents. Strong systems thinking with ML knowledge preferred. 100% remote work, choice of work equipment, English classes.
Requirements
- Resume in English
- Systems thinker with ML knowledge
- Interest in back-end engineering processes
- Ability to build robust software
- Preference for deterministic guardrails
- Willingness to debug complex agent loops
- Focus on reliability
Tasks
- Architect loops that survive error accumulation
- Build verification layers for self-correction
- Implement systems for agent-compiled constraints
- Enforce constraints via constrained decoding
- Manage external execution of agent constraints
- Optimize KV-cache hit rates
- Design restorable compression strategies
- Prevent attention decay in runtime systems
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ML
- Python
- Rust
Benefits
Flexible Working
- 100% remote work
- Hybrid work options
- Flexible schedule
Modern Equipment
- Choice of work equipment
Learning & Development
- English classes
Family Support
- Newborn bonus
Competitive Pay
- Patent remuneration
More Vacation Days
- Paid leave
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ML Research Intern in Agentic Runtime Systems(m/w/x)
Architecting error-resilient loops and verification layers for self-correcting ML agents. Strong systems thinking with ML knowledge preferred. 100% remote work, choice of work equipment, English classes.
Requirements
- Resume in English
- Systems thinker with ML knowledge
- Interest in back-end engineering processes
- Ability to build robust software
- Preference for deterministic guardrails
- Willingness to debug complex agent loops
- Focus on reliability
Tasks
- Architect loops that survive error accumulation
- Build verification layers for self-correction
- Implement systems for agent-compiled constraints
- Enforce constraints via constrained decoding
- Manage external execution of agent constraints
- Optimize KV-cache hit rates
- Design restorable compression strategies
- Prevent attention decay in runtime systems
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ML
- Python
- Rust
Benefits
Flexible Working
- 100% remote work
- Hybrid work options
- Flexible schedule
Modern Equipment
- Choice of work equipment
Learning & Development
- English classes
Family Support
- Newborn bonus
Competitive Pay
- Patent remuneration
More Vacation Days
- Paid leave
About the Company
Constructor TECH
Industry
Education
Description
Constructor Group is dedicated to revolutionizing education and driving innovation in technology, offering advanced solutions and funding for digital transformation.
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