or apply directly on Arkose Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Arkose Labs's roles stay open a median of 24 days
- Reposted
- No
- Salary listed
- No 40% of Arkose Labs's roles list one
- Ghost-job risk at Arkose Labs
- low 0 stale, 0 reposted of 5 open
- Hiring momentum
- 7 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Arkose Labs's own greenhouse board since 2026-08-03. Full hiring picture for Arkose Labs.
About this role
The Machine Learning Director at Arkose Labs will lead the ML team, setting the technical direction for machine learning applications in fraud detection and risk scoring. This role involves managing a small team while remaining hands-on with model design, architecture decisions, and code reviews. Responsibilities include defining the ML roadmap, establishing MLOps practices, and driving applied research to innovate fraud detection systems.
- benefits
- 3/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Arkose Labs as an employer.
What you need
- 6+ years building and deploying ML models in production
- 2+ years directly managing ML engineers or data scientists
- Track record of shipping ML systems that moved a real business metric in fraud, trust & safety, cybersecurity, or similar domains
- Strong technical depth in evaluating modeling and architecture choices
- Experience across the full ML lifecycle: data pipelines, feature engineering, training, evaluation, deployment, and monitoring
- Proven people-management skills: hiring, coaching, and developing individual contributors
Nice to have
- Experience with bot detection, device fingerprinting, behavioral biometrics, or real-time risk scoring
- Experience with low-latency, high-throughput ML serving infrastructure
- Familiarity with current ML research relevant to fraud/security
- Experience scaling researcher productivity using Agentic AI
What you get
- Competitive salary + Equity
- Beautiful office space with many perks
- Robust benefits package
- Provident Fund
- Accident Insurance
- Hybrid office model with flexible working hours and work from home days
Worth weighing
- No salary listed
- The role requires both management and hands-on technical skills, which may be demanding
- Focus on fraud detection may limit exposure to other ML applications
Summarised from Arkose Labs's posting. Read the full original.
Listed by Arkose Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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