{"id":172696,"url":"https://alion.io/job/amgen-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer (Reinforcement Learning)","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":442,"ghost_share":0.002,"stale_share":0.833,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":75000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"Multi-Agent Systems","optional":true},{"name":"RAG","optional":true},{"name":"Ray","optional":true},{"name":"RLlib","optional":true}],"status":"live","first_seen_at":"2026-07-20T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-18T16:55:47Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":91},"description":"Career Category\nInformation SystemsJob Description\nJob Description\nABOUT AMGEN\nAmgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.\nABOUT THE ROLE\nRole Summary\nPrincipal-level AIML Engineer responsible for designing and deploying advanced AI/ML systems with a strong focus on Reinforcement Learning (RL) and decision intelligence. Will act as a technical leader driving scalable AI solutions from research to production across enterprise platforms.\nKey Responsibilities\nDesign and develop Reinforcement Learning models (RL, RLHF, multi-agent RL) for real-world decision-making problems\nBuild and deploy scalable ML pipelines and production AI systems using MLOps best practices\nArchitect end-to-end AI systems integrating RL with GenAI, LLMs, or agent-based frameworks\nLead development of agent-based / multi-agent AI systems for planning, reasoning, and automation \nTranslate research concepts into production-grade, reliable ML systems\nPartner with data scientists, engineers, and product teams to deliver enterprise AI solutions\nEvaluate new AI techniques (RLHF, agentic systems, deep RL) and drive adoption\nMentor engineers and provide technical leadership and architectural guidance\nMust-Have Skills\nStrong expertise in Reinforcement Learning (Deep RL, Policy Optimization, RLHF)\nHands-on experience building production AI/ML systems at scale\nStrong programming in Python\nExperience with MLOps (MLflow, Kubeflow, SageMaker, etc.) \nKnowledge of Distributed Systems & Cloud (AWS/Azure/GCP)\nExperience in model deployment, monitoring, and lifecycle management\nStrong understanding of ML/DL algorithms and optimization techniques\nGood-to-Have\nExperience with multi-agent systems / agentic AI frameworks\nExposure to LLMs, RAG, or Generative AI systems\nExperience with simulation environments (Gym, RLlib, etc.)\nBackground in optimization, control systems, or operations research\nQualifications\nBachelor’s or Master’s in Computer Science, AI, ML, or related field\n12 to 17 years experience in ML/AI engineering or related domains \nBehavioral / Leadership Expectations\nStrong technical leadership and mentoring capability\nAbility to translate complex AI concepts into business impact\nOwnership mindset with end-to-end delivery focus\nCollaboration across global teams\nEQUAL OPPORTUNITY STATEMENT\nAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.\nWe will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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