... and anti-spoofing techniques. • Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents. • Strong understanding of agentic system design, including agent ...
... and anti-spoofing techniques. • Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents. • Strong understanding of agentic system design, including agent ...
Anti Counterfeit information
See Florida salary details
$3.95 - $7.58
0% of jobs
$7.58 - $11.20
0% of jobs
$11.20 - $14.83
0% of jobs
$16.52 is the 25th percentile. Wages below this are outliers.
$14.83 - $18.45
54% of jobs
$18.45 - $22.08
0% of jobs
$22.08 - $25.70
0% of jobs
$25.70 - $29.33
0% of jobs
$29.33 - $32.96
0% of jobs
$32.96 - $36.58
9% of jobs
$38.82 is the 75th percentile. Wages above this are outliers.
$36.58 - $40.21
20% of jobs
$40.21 - $43.83
18% of jobs
$3
$28
$43
How much do anti counterfeit jobs pay per hour?
As of Aug 7, 2026, the average hourly pay for anti counterfeit in Florida is $28.56, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $39.52 per hour, depending on experience, location, and employer.
What are some common challenges faced by professionals working in anti counterfeit roles?
Professionals in Anti Counterfeit positions often encounter challenges such as staying ahead of increasingly sophisticated counterfeiters and adapting to rapidly evolving technologies used in product authentication. The role may require thorough investigations, frequent coordination with legal, logistics, and external enforcement teams, as well as conducting on-site inspections or audits. High stakes and tight deadlines can add pressure, but the work is rewarding for those who enjoy problem-solving and making a tangible impact on brand protection. Successfully navigating these challenges helps companies safeguard their reputation and ensures consumer trust.
What are the key skills and qualifications needed to thrive in the anti counterfeit position, and why are they important?
To excel in an Anti Counterfeit role, you typically need a background in supply chain management, forensic analysis, and investigative techniques, alongside a relevant degree such as in criminology or business. Familiarity with track-and-trace software, authentication technologies, and certifications like Certified Anti-Counterfeiting Professional (CACP) are often required. Strong attention to detail, analytical thinking, and effective communication with cross-functional teams are crucial soft skills. These competencies are essential to accurately identify counterfeit products, protect brand integrity, and collaborate efficiently within a corporate or investigative environment.
What is an anti counterfeit?
An Anti-Counterfeit job involves protecting products, brands, and intellectual property from counterfeit goods and fraud. Professionals in this field work on identifying fake products, implementing authentication technologies, and collaborating with law enforcement to prevent counterfeiting. They may also develop strategies to educate consumers and businesses on recognizing counterfeit items. This role is critical in industries like pharmaceuticals, luxury goods, electronics, and financial services.
What are the most commonly searched types of Anti Counterfeit jobs in Florida? The most popular types of Anti Counterfeit jobs in Florida are:
What are popular job titles related to Anti Counterfeit jobs in Florida? For Anti Counterfeit jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Anti Counterfeit jobs in Florida look for? The top searched job categories for Anti Counterfeit jobs in Florida are:
Full-time
Re-posted 29 days ago
Job description
Job Summary:
Socure is building the identity trust infrastructure for the digital economy, and they are seeking an exceptional leader to drive AI-powered Document Verification and Biometrics solutions. This role involves owning the data science strategy and execution, leading a team of data scientists, and advancing fraud detection capabilities.
Responsibilities:
• Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
• Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
• Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent-based systems.
• Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
• Partner closely with Product, Engineering, and Risk teams to deliver scalable, production-grade solutions that meet both business and regulatory requirements.
• Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
Qualifications:
Required:
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
• Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
• Proven experience building domain-specific foundation models or large-scale representation learning systems.
• Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.
• Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
• Experience with vector databases and embedding-based retrieval systems.
• Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
• Proven ability to lead and scale high-performing teams while delivering under ambiguity and tight timelines.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch).
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.
Preferred:
• MS/PhD preferred in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Socure is building the identity trust infrastructure for the digital economy, and they are seeking an exceptional leader to drive AI-powered Document Verification and Biometrics solutions. This role involves owning the data science strategy and execution, leading a team of data scientists, and advancing fraud detection capabilities.
Responsibilities:
• Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
• Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
• Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent-based systems.
• Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
• Partner closely with Product, Engineering, and Risk teams to deliver scalable, production-grade solutions that meet both business and regulatory requirements.
• Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
Qualifications:
Required:
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
• Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
• Proven experience building domain-specific foundation models or large-scale representation learning systems.
• Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.
• Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
• Experience with vector databases and embedding-based retrieval systems.
• Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
• Proven ability to lead and scale high-performing teams while delivering under ambiguity and tight timelines.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch).
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.
Preferred:
• MS/PhD preferred in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Socure
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Incline Village, NV, US
Year founded
2012