{"id":16612,"url":"https://alion.io/job/voodoo-senior-ml-engineer-offline-team","title":"Senior ML Engineer - Offline Team","company":{"id":4979,"name":"Voodoo","domain":"voodoo.io","url":"https://alion.io/company/voodoo","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":19,"ghost_share":0,"stale_share":0.579,"repost_share":0.053,"time_to_fill_p50_days":78,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Helsinki, Finland","Paris, France"],"countries":["FI","FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":159000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Feature Store","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-05-11T09:19:24Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-20T03:50:10Z","board_verified":true,"closed_at":null,"days_open":161,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":161},"description":"About Voodoo\nFounded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.\nTeam\nThe Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.\nThe Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team.\nThe Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration.\nThis role can be either Paris or Helsinki based and done in a hybrid setup.\nRole\nWe're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring.\nIn this role, you will be leading the following topics:\nArchitectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies.\n\nPipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse).\n\nData Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints.\n\nDeep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support.\n\nML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling.\n\nScalability & Reliability: Collaborate with infrastructure teams on scalability - node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems.\n\nAgile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers.\n\nMentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role.\n\nProfile\nWe are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale.\n5+ years minimum of experience as an ML Engineer or a similar role\n\nEnd-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration\n\nPython Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs\n\nTraining Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping\n\nML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning\n\nPerformance Optimization: Experience optimizing memory usage during data preprocessing and model training\n\nExperiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning)\n\nCloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics\n\nML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.)\n\nModel Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus\n\nExcellent communication skills in English\n\nOur Stack\nPython · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services\nBenefits\nExcellent benefits that will depend on the country you're based in","description_format":"text","description_chars":5737,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"},{"name":"Finland","iso":"FI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Games","Game Development","Social Networks"],"lifecycle":[{"event":"open","at":"2026-05-11T09:19:24Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.526,"p_room":0.28,"age_days":161,"expected_fill_days":78,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/voodoo-senior-ml-engineer-offline-team","json_url":"https://alion.io/job/voodoo-senior-ml-engineer-offline-team.json","meta":{"generated_at":"2026-10-20T06:19:51Z","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":6770,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":4979},"rest":"https://alion.io/mcp/rest/get_company?id=4979"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvoodoo-senior-ml-engineer-offline-team"},{"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%2Fvoodoo-senior-ml-engineer-offline-team"},{"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%2Fvoodoo-senior-ml-engineer-offline-team"},{"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/voodoo-senior-ml-engineer-offline-team\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvoodoo-senior-ml-engineer-offline-team"}]}