{"id":69456,"url":"https://alion.io/job/appier-senior-machine-learning-scientist-enterprise-solution","title":"Senior Machine Learning Scientist (Enterprise Solution)","company":{"id":177717,"name":"Appier","domain":"appier.com","url":"https://alion.io/company/appier-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":61,"ghost_share":0.148,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":272,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":60000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1757},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Windsurf","optional":false}],"status":"closed","first_seen_at":"2025-06-16T08:35:08Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-07T11:48:09Z","board_verified":false,"closed_at":"2026-10-07T11:48:09Z","days_open":478,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":477},"description":"About Appier \nAppier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud-each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.\nAbout the Role\nWe are looking for a Senior Machine Learning Scientist to join the Enterprise Solution Science Team.\nThis team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.\nIn this role, you will be responsible for end-to-end development, from problem definition to driving model deployment into production.\n\nWhat You’ll Work On\nWork on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization\nCollaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage\nWork closely with ML engineers to deploy models to production, ensuring reliability and maintainability\nConduct offline and online evaluation, monitoring, and continuous optimization of models after deployment\nStay up to date with the latest research and proactively propose innovative applications\nWhat We’re Looking For (Minimum)\nMaster’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields.\n3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation.\nProficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow.\nImpact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.\nProficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot.\nWhat We’re Looking For (Preferred)\nPractical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development.\nExperience in cross-functional collaboration and leading industry projects.\nIndustry experience in MarTech and passion for building customer-centric 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