{"id":3715520,"url":"https://alion.io/job/unity-technologies-senior-machine-learning-engineer-ads","title":"Senior Machine Learning Engineer, Ads","company":{"id":2743,"name":"Unity Technologies","domain":"unity.com","url":"https://alion.io/company/unity-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":12,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Mountain View, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":178700,"max":232300,"currency":"USD","period":"year","gross":null,"usd_annual":232300},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"DPO","optional":false},{"name":"Feature Store","optional":false},{"name":"KServe","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"Unity","optional":false}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T01:07:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Opportunity\nOfferwall by Unity is a leading mobile advertising and monetization platform that empowers game developers to maximize revenue and engage users through rewarded experiences. For over a decade, we've connected millions of players with offers that provide tangible in-app value, and we're now building the next generation of that product.\nRewarded advertising attracts fraud. Every conversion attempt on Offerwall and the Unity Rewards app is scored in real time by our fraud detection stack: a prediction service, an online feature store, streaming and batch feature pipelines, and a rules engine that decides what gets paid out. When fraud gets through, money leaks from our advertisers and our business.\nWe're seeking a Machine Learning Engineer to own the ML side of Offerwall fraud prevention. You'll take our real-time anomaly detection and device risk models from development into production, build the labeled fraud dataset and evaluation methodology the team measures itself against, and modernize how we train, serve, and monitor models. You'll work closely with data engineering, backend, and product partners who own the systems your models plug into.\nThis is a hands-on role with real scope. You'll be one of a small group of engineers responsible for fraud ML end to end, and you'll have a direct line from the models you ship to dollars saved.\nWhat you'll be doing\nShip Fraud Models to Production: Take our real-time anomaly detection and device risk models from development to production, so their output drives payout and blocking decisions.\nBuild the Ground Truth: Create and maintain a golden labeled fraud dataset, and define the evaluation methodology and baseline fraud-efficacy metrics the team uses to judge every model and rule change.\nOwn Features End to End: Design and evolve the streaming and batch features that feed our Redis online feature store, partnering with data engineering on freshness, correctness, and lineage.\nModernize ML Infrastructure: Plan and drive the evolution of our training and serving stack, including evaluating a move from SageMaker to Kubeflow and KServe, with attention to latency on the real-time scoring path.\nDetect New Fraud Patterns: Investigate fraud spikes, analyze user and device behavior, and turn findings into new detection signals, features, and models.\nOperate & Document: Monitor model and feature health in production, write runbooks and data lineage docs, and participate in on-call for the fraud detection stack.\nWhat we're looking for\nProduction ML Experience: Several years building ML models and taking them all the way to production, including deployment, monitoring, and iteration after launch.\nFraud, Risk, or Anomaly Detection: Hands-on experience with fraud detection, abuse prevention, risk scoring, or anomaly detection, including working with sparse, noisy, or adversarial labels.\nReal-time Serving & Feature Engineering: Experience with low-latency model serving and online/offline feature pipelines (for example Redis or another online feature store, Kafka or similar streaming, Airflow).\nEvaluation Rigor: Ability to build labeled datasets from imperfect signals and design evaluation methods that hold up when fraud patterns shift.\nCore Technologies: Strong Python and SQL. Working knowledge of a cloud ML platform such as AWS SageMaker, Kubeflow, or KServe.\nOwnership & Collaboration: You take ambiguous problems to shipped outcomes with limited oversight, write things down, and work well with backend, data, and product partners. You use AI coding tools to move faster.\nYou might also have\nExperience with ad fraud, install/attribution fraud, or fraud in rewarded or incentivized advertising.\nExperience with unsupervised or semi-supervised detection methods such as autoencoders, isolation forests, or graph-based approaches to device and user linking.\nExperience migrating ML serving between platforms, or building MLOps tooling on Kubernetes.\nBackground in mobile ad tech, mobile games, or app monetization.\nAdditional Details\nBase Salary Range: We determine the base salary range for this role based on your primary work location:\nZone A: $178,700 - $232,300\nZone B: $159,100 - $206,800\nZone C: $140,700 - $182,900\nThis range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.\nBenefits\nAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.\nPlease note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.\nWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program\nLife at Unity\nUnity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.\nUnity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.\nHeadhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.\nYour privacy is important to us. Please take a moment to review ourProspect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .","description_format":"text","description_chars":7642,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Equity","Generous vacation","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","AR & VR Software","Game Development","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-11-04T00:36:43Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":39,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":232300,"is_top_pay":true},"html_url":"https://alion.io/job/unity-technologies-senior-machine-learning-engineer-ads","json_url":"https://alion.io/job/unity-technologies-senior-machine-learning-engineer-ads.json","meta":{"generated_at":"2026-11-05T01:59:30Z","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":2556,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":2743},"rest":"https://alion.io/mcp/rest/get_company?id=2743"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funity-technologies-senior-machine-learning-engineer-ads"},{"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%2Funity-technologies-senior-machine-learning-engineer-ads"},{"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%2Funity-technologies-senior-machine-learning-engineer-ads"},{"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/unity-technologies-senior-machine-learning-engineer-ads\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funity-technologies-senior-machine-learning-engineer-ads"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3715520}},{"tool":"search_jobs","arguments":{"company":"unity.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3715520},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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