{"id":550543,"url":"https://alion.io/job/hamster-senior-machine-learning-specialist","title":"Senior Machine Learning Specialist","company":{"id":456157,"name":"Hamster","domain":"tryhamster.com","url":"https://alion.io/company/hamster-3","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Auckland, New Zealand"],"countries":["US","NZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":163000,"max_usd":314000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"Multi-Agent Systems","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2025-10-14T18:45:29Z","employer_posted_date":"2025-10-14","last_verified_at":"2026-10-31T05:28:55Z","board_verified":true,"closed_at":null,"days_open":381,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":381},"description":"You will be responsible for developing and implementing machine learning solutions that power our AI-native platform. This role requires expertise in custom model development, transformer architectures, and production deployment of ML systems.\nResponsibilities\nDesign and develop custom machine learning models for specific business use cases.\n\nImplement and optimize transformer architectures for natural language processing tasks.\n\nDevelop and maintain ML pipelines for data preprocessing, model training, and inference.\n\nWork with large language models and implement fine-tuning strategies.\n\nImplement retrieval-augmented generation (RAG) systems and optimize their performance.\n\nCollaborate with engineering teams to deploy ML models in production environments.\n\nMonitor and maintain model performance in production, implementing retraining strategies as needed.\n\nConduct research on emerging ML techniques and evaluate their applicability to our platform.\n\nMentor junior ML engineers and contribute to best practices within the team.\n\nRequired Skills and Qualifications\nMaster's degree or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.\n\n5+ years of experience in machine learning development and deployment.\n\nStrong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar).\n\nDeep understanding of transformer architectures and their applications in NLP.\n\nExperience with large language models and fine-tuning techniques.\n\nProficiency in implementing and optimizing RAG systems.\n\nExperience with ML model deployment and production monitoring.\n\nStrong understanding of data preprocessing, feature engineering, and model evaluation techniques.\n\nExperience with cloud platforms and ML infrastructure (AWS SageMaker, Google Vertex AI, or similar).\n\nExcellent problem-solving skills and attention to detail.\n\nStrong communication and interpersonal skills.\n\nPreferred Qualifications\nExperience with MLOps and ML pipeline orchestration tools.\n\nKnowledge of distributed training and 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