{"id":1172431,"url":"https://alion.io/job/recruitment-room-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":100174,"name":"Recruitment Room","domain":"recruitmentroom.net","url":"https://alion.io/company/recruitment-room","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AU"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-09-14T13:10:00Z","employer_posted_date":null,"last_verified_at":"2026-09-14T13:10:00Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Machine Learning Engineer - Reinforcement Learning Scenario Building\nEngagement: Independent Contractor\nWork Arrangement: Remote\nCompensation: $90/hour\nFormat: Remote work and voice interview\nAbout the Opportunity\nWe are seeking Machine Learning Engineers and AI researchers with hands-on experience in simulation and reinforcement learning to help build and test environments for RL agents.\nYou will use your technical expertise to create structured scenarios, configure simulated environments, test agent interactions, and provide practical feedback on the tools and interfaces used to develop reinforcement learning scenarios.\nWhat You'll Do\nDesign and build scenarios within a reinforcement learning platform.\n\nConfigure environmental parameters and spatial constraints.\n\nDefine agent interaction rules and reward structures.\n\nRun preliminary agent interactions to test and validate scenarios.\n\nDocument your workflow and identify friction points encountered during environment configuration.\n\nDiscuss your experience and provide technical feedback on the platform's usability during a remote interview.\n\nWho Should Apply\nThis opportunity is suited to professionals with experience in:\nMachine learning or artificial intelligence research.\n\nSimulation design and development.\n\nReinforcement learning environments and frameworks.\n\nConfiguring technical platforms for simulated agent interactions.\n\nDefining structured agent scenarios and reward structures.\n\nRelevant backgrounds include Machine Learning Engineering, AI Research, Simulation Development, and Technical Game Design.\nYou should be comfortable working with complex platform interfaces and clearly communicating technical observations and feedback.\nEngagement & Payment\nIndependent contractor engagement.\n\nFully remote, with work completed on your own schedule.\n\n$90/hour, paid weekly based on services rendered.\n\nEngagements may be extended, shortened, or concluded early depending on project needs and performance.\n\nWork must not involve confidential or proprietary information belonging to an employer, client, or institution.\n\nH-1B and STEM OPT candidates cannot be supported at this time.\n\nApply\nIf you have practical experience building simulations, reinforcement learning environments, or AI agent scenarios, this opportunity allows you to apply your technical expertise to the development and testing of RL environments.\n$90/hour | Remote | Independent Contractor","description_format":"text","description_chars":2436,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Australia","iso":"AU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T08:33:34Z"}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.449,"p_room":0.9,"age_days":11,"expected_fill_days":25,"reasons":["seen:11","agency","velocity","win:mid","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/recruitment-room-machine-learning-engineer","json_url":"https://alion.io/job/recruitment-room-machine-learning-engineer.json","meta":{"generated_at":"2026-09-27T04:49:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4201,"day_limit":5000,"remaining_today":799,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}