{"id":176551,"url":"https://alion.io/job/gogolook-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":63509,"name":"Gogolook","domain":"gogolook.com","url":"https://alion.io/company/gogolook","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","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":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-07-23T06:53:38Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-17T23:41:56Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"Who are we looking for\nWe aren't looking for employees; we are looking for mission-driven pioneers. To thrive at Gogolook, you must meet the following standards:\nImpact-Driven Architects: We require individuals who are motivated by the challenge of creating meaningful products that defend society against global fraud.\nRelentless Learners: We expect you to take full ownership of your growth by actively participating in technical communities and workshops, representing Gogolook's expertise on the global stage.\nAssertive Experts: We value those who bring their own professional opinions to the table, engaging in rigorous discussion to ensure we build only the most exceptional products.\nRadical Collaborators: You must thrive in a culture of extreme transparency, where you are expected to consume company-wide information and actively participate in shaping our collective future.\nIf you feel you fit the bill, come join us!\nAbout the Intelligent Systems Lab (ISL)\nThe ISL team provides applied research and development capabilities to help achieve long-term strategic goals for Gogolook. Our typical project lifecycle is 6 months, focusing on a transition from ISL team principles to long-running applied R&D. We collaborate closely with other Gogolook teams to:\nEvaluate product needs for intelligent solutions.\nPropose solutions that use cutting-edge AI.\nCreate POCs (Proof of Concepts) to demonstrate viability.\nTogether, ISL and Engineering teams meet both the short and long-term technology needs of the company.\nRole Mission\nAs a Machine Learning Engineer, you will be a core part of ISL's modeling competency. Your mission is to implement, evaluate, and deploy machine learning models that turn Gogolook's first-party data into precise, reliable products that protect users from fraud. You will treat model quality as an experimental discipline - measured, not assumed - and bring statistical rigor to every result you ship.\nYour journey at Gogolook is designed for growth. At the beginning, you will build and train models with guidance, evaluate them with the right metrics, prepare and engineer the data they learn from, and document your work so others can reproduce it. Subsequently, we expect you to take full ownership of end-to-end ML solutions - designing the experiments, running the statistical analysis, optimizing for performance, and deploying to production. Over time you may lead advanced ML initiatives, guide experimental strategy, drive statistical rigor across the team, architect scalable ML infrastructure, and mentor junior engineers.\nResponsibilities\nModel Development: Implement and train supervised and unsupervised models using standard frameworks under structured guidance.\nModel Evaluation: Evaluate models with appropriate metrics and perform error analysis to understand where and why a model fails.\nData Preprocessing & Feature Engineering: Clean, transform, and engineer features to prepare data for training and testing.\nExperimentation: Apply basic statistical-analysis and experimental-design methods to tune and optimize models.\nDeployment Support: Help package, deploy, and monitor models within ISL's infrastructure, learning CI/CD and containerization practices.\nCollaboration: Work in a shared codebase using Git; partner with Data Research Engineers, AI Engineers, and Product Managers to deliver value.\nDocumentation: Clearly document training processes, experiment design, assumptions, and outcomes, and communicate results to the team.\nQualifications\nProficiency in English, both spoken and written, sufficient to collaborate, document, and present in an English-working environment.\nBachelor's degree in Computer Science, Statistics, Machine Learning, or a related quantitative field.\n2-4 years of experience in the related area depending on degree.\nHands-on experience building, training, and evaluating machine learning models with standard frameworks.\nHighly independent and self-motivated, with the ability to manage multiple task items within a team environment.\nAbility to learn from mistakes and a continuous drive to seek self-improvement in new skills and technical knowledge.\nStrong collaborative mindset, acting as a good team player who understands how value is delivered both efficiently and responsively.\n Proactive communicator who takes the initiative to voice concerns regarding technical risks and contributes to the creation and reduction of tech debt.\nPreferred Qualifications\nExposure to cloud ML platforms (AWS SageMaker, Google Vertex AI) for training and deployment.\nFamiliarity with CI/CD and containerization (Docker) for shipping models to production.\nComfortable working with Data Research Engineers, AI Engineers, and Product Managers to bridge data, modeling, and product.\nSkills & Competencies\nSolid grasp of ML fundamentals - supervised and unsupervised learning, and model evaluation metrics.\nFamiliarity with popular frameworks: scikit-learn, XGBoost, and TensorFlow or PyTorch.\nExperience with data preprocessing and feature engineering.\nBasic statistics for model tuning and basic experimental-design methods for model optimization.\nProficiency in Python; comfortable with Git and collaborative coding.\nDisciplined in clearly documenting training processes, underlying assumptions, and final results.","description_format":"text","description_chars":5295,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Taiwan","iso":"TW","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Consumer & Utility Software"],"lifecycle":[{"event":"open","at":"2026-08-30T15:51:46Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.308,"p_room":0.28,"age_days":85,"expected_fill_days":19,"reasons":["conf:1","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/gogolook-machine-learning-engineer","json_url":"https://alion.io/job/gogolook-machine-learning-engineer.json","meta":{"generated_at":"2026-10-18T01:17:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2153,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":63509},"rest":"https://alion.io/mcp/rest/get_company?id=63509"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgogolook-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgogolook-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgogolook-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gogolook-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgogolook-machine-learning-engineer"}]}