{"id":3167215,"url":"https://alion.io/job/cortiqolabs-research-and-software-development-intern-ai","title":"Research and Software Development Intern (AI)","company":{"id":4466544,"name":"CortiqoLabs","domain":"cortiqolabs.com","url":"https://alion.io/company/cortiqolabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":7500,"max_usd":14000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Machine Learning","optional":true},{"name":"PyTorch","optional":true},{"name":"Self-Supervised Learning","optional":true},{"name":"Time Series","optional":true},{"name":"VLM","optional":true}],"status":"live","first_seen_at":"2026-10-23T17:36:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T17:36:00Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Responsibilities: \nReading and stress-testing recent papers against real-world problem constraints.\nDesigning and running experiment ablations, benchmarks, failure-mode analysis, not just implementing a paper's happy path.\nPrototyping candidate architectures and defending design choices with evidence, not intuition.\nTurning validated experiments into documented, reproducible solution components.\nWriting technical rationale that holds up under review: what was tried, what failed, why the final approach won.\n\nRamp Plan: \n30 days: Fluent in the problem space and existing experiment infrastructure. 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