{"id":850245,"url":"https://alion.io/job/arkoselabs-machine-learning-director","title":"Senior Manager, Machine Learning","company":{"id":669912,"name":"Arkose Labs","domain":"arkoselabs.com","url":"https://alion.io/company/arkoselabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Management","role_family":"Management","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Agile","optional":true},{"name":"arXiv","optional":true}],"status":"live","first_seen_at":"2026-09-08T16:36:56Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-12T03:24:35Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Arkose Labs is on a mission to create an online environment where all consumers are protected from spam and abuse. As a Fast Company 2025 Best Workplace for Innovators, we provide a proactive fraud deterrence platform, Arkose Titan, designed to neutralize modern attacks powered by Agentic AI and LLMs. By combining proprietary intelligence with dynamic friction, we undermine attacker ROI to protect global giants like Microsoft, Meta, and Roblox. Headquartered in San Mateo, CA, we maintain a global presence across APAC, Central and South America, and EMEA.\nThe Role\nWe’re hiring a Machine Learning Research Manager to lead our ML team and set the technical direction for how machine learning is applied across Arkose’s fraud detection and risk-scoring products. This is a builder-manager role: you’ll grow and coach a small, high-leverage team while staying hands-on with model design, architecture decisions, and code review. You’ll own the connection between fraud outcomes - detection accuracy, false positive rates - and the ML systems that drive them. This role will report to the SVP of Product.\nWhat You’ll Do\nDefine and drive Arkose’s Data Science and Machine Learning roadmap across Arkose Titan by aligning research with product priorities.\nLead development and delivery of ML models and capabilities that power real-time fraud and risk decisioning at Arkose’s scale, in collaboration with detection engineering to turn emerging fraud patterns into features and models.\nEstablish modern MLOps practices - model governance, experimentation frameworks, and end-to-end model lifecycle management - and own model performance in production, including precision/recall tradeoffs, drift monitoring, retraining cadence, and latency/cost constraints.\nDrive applied research in graph machine learning, behavioral analytics, and intelligent fraud detection systems - resulting in patents, publications, and product innovation.\nManage, coach, and grow a team of ML researchers, including performance management, career development, and future hiring.\nStay hands-on: contribute to model design, feature engineering, architecture reviews, and code/PR review alongside the team.\nTranslate fraud and business metrics into measurable ML objectives, and communicate roadmap and tradeoffs to leadership and cross-functional stakeholders.\nWhat We’re Looking For\n10+ years building and deploying ML models in production, including 2+ years directly managing ML engineers or data scientists.\nA track record of shipping ML systems that moved a real business metric, ideally in fraud, trust & safety, cybersecurity, or another adversarial, imbalanced-data domain.\nStrong technical depth - able to evaluate modeling and architecture choices (classification, anomaly detection, graph-based methods, sequence models) rather than managing from the roadmap alone.\nExperience across the full ML lifecycle: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.\nProven people-management skills: hiring, coaching, and developing individual contributors.\nExcellent cross-functional communication; able to translate ML trade-offs for non-technical stakeholders.\nNice to Have\nExperience with bot detection, device fingerprinting, behavioral biometrics, or real-time risk scoring.\nExperience with low-latency, high-throughput ML serving infrastructure.\nFamiliarity with current ML research relevant to fraud/security (e.g., following or contributing to arXiv publications in adversarial ML, anomaly detection, or graph learning).\nExperience scaling researcher productivity using Agentic AI.Why Arkose Labs?\nAt Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, and more. We’re not just a company; we’re a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe.\nWhy do top tech professionals choose Arkose Labs?\nCutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients.Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment.Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events.Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas.\nJoin us in shaping the future of technology. At Arkose Labs, you’re not just an employee; you’re part of a visionary team driving global change\nThe most recognizable brands in the world select Arkose Labs, including Roblox, Microsoft, Adobe, Expedia, Snap and Meta.\nWe value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education.\nWe value:\nPeople: first and foremost they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do.\nTeam Work. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another\nCustomer Focus. We empathize with our customers and obsess about solving their problems\nExecution with precision, professionalism and urgency\nSecurity. It’s the lens through which we implement our processes, procedures, and programs\nBenefits:\n\nCompetitive salary + Equity\nBeautiful office space with many perks \nRobust benefits package\nProvident Fund\nAccident Insurance\nHybrid office model with flexible working hours and work from home days to support personal well-being and mental health\nArkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities.\n#LI-Hybrid #LI-Director","description_format":"text","description_chars":6627,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-13T03:21:33Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.694,"p_room":0.75,"age_days":33,"expected_fill_days":37,"reasons":["conf:3","win:late"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/arkoselabs-machine-learning-director","json_url":"https://alion.io/job/arkoselabs-machine-learning-director.json","meta":{"generated_at":"2026-10-12T07:56:13Z","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":12686,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":669912},"rest":"https://alion.io/mcp/rest/get_company?id=669912"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Farkoselabs-machine-learning-director"},{"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%2Farkoselabs-machine-learning-director"},{"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%2Farkoselabs-machine-learning-director"},{"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/arkoselabs-machine-learning-director\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Farkoselabs-machine-learning-director"}]}