{"id":3685673,"url":"https://alion.io/job/weekday-ml-researcher","title":"ML Researcher","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":92,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Red Teaming","optional":false},{"name":"TensorFlow","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-11-03T14:52:16Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T15:18:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"'\n: - ( - )\nExperience: 2+ yrs\nLocation: Hyderabad, Telangana, India\nAs a ML Researcher, you will spearhead the development of advanced machine learning models with a keen focus on adversarial robustness and red teaming techniques. Your role will involve designing, executing, and evaluating red team exercises to uncover potential vulnerabilities in AI systems, ensuring high reliability and security for mission-critical applications. You will collaborate closely with cross-functional teams, translating findings into actionable improvements, and publishing research in leading conferences. Your expertise will drive innovation in proactive threat modeling and contribute to a culture of continuous learning and resilience.\nRequirements\nDesign and implement red team strategies for evaluating machine learning models.\nConduct adversarial testing, probing for biases, backdoors, and data poisoning.\nDevelop new algorithms to detect and mitigate adversarial attacks in real-time.\nAnalyze failure modes and produce detailed technical reports for stakeholders.\nCollaborate with security, product, and engineering teams to integrate findings.\nMentor junior researchers and interns on red teaming best practices.\nStay abreast of emerging research and threat landscapes in AI security.\nLead presentations at conferences, workshops, and internal knowledge sessions.\nContribute to open-source solutions and community initiatives in AI safety.\nMentor and review submitted papers for top-tier conferences and journals.\n2+ years of experience in machine learning research, with a focus on security or red teaming.\nProven track record of publishing in top ML or security conferences (e.g., NeurIPS, ICML, CCS).\nStrong programming skills in Python, PyTorch/TensorFlow, and experience with adversarial libraries.\nDeep understanding of model architectures, data pipelines, and attack surfaces.\nExperience designing robust evaluation frameworks and metrics for adversarial defenses.\nDemonstrated ability to translate complex technical findings into clear, actionable recommendations.\nExcellent communication skills, with a history of presenting research at conferences or webinars.\nAbility to work independently and collaboratively in a fast-paced research environment.\nFamiliarity with industry-standard tools for threat modeling and vulnerability assessment.\nPassion for continuous learning and staying ahead of evolving AI 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