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Biometrics Engineer Jobs in Florida (NOW HIRING)

Sr. DevOps Manager

Palm Beach Gardens, FL · On-site

$123K - $158K/yr

The Senior DevOps Manager role will partner closely with the SW Engineering, QA, Product Management ... At the Biometric Identity Technologies Business Area, within HID, we aim to create a safer world ...

Sr. DevOps Manager

Palm Beach Gardens, FL

$123K - $158K/yr

The Senior DevOps Manager role will partner closely with the SW Engineering, QA, Product Management ... At the Biometric Identity Technologies Business Area, within HID, we aim to create a safer world ...

Sr. DevOps Manager

Palm Beach Gardens, FL · On-site

$123K - $158K/yr

HID is a high-tech software company headquartered in Austin, TX, focused on creating trusted identities through biometric solutions. As a Senior DevOps Manager, you will manage a global DevOps team ...

... biometric devices, cameras, video management systems, and counter-unmanned aerial systems (C-UAS). * Work alongside senior engineers to develop strategic test documents, including Test and Evaluation ...

IOS Developer

Coral Springs, FL · On-site

$49.25 - $67.75/hr

Write unit tests using XCTest * ability to implement or been part of implementing authentication flows or biometric authentication (Face ID/Touch ID) * collab with QA team, PMs, other developers ...

As a DevSecOps engineer on our team, you'll use your development experience to streamline our ... biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.

... s engineer at Booz Allen, you'll help streamline thesoftware development lifecycle, from ... biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.

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Showing results 1-20

Biometrics Engineer information

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding advanced degrees, or earning bonuses and stock options.

Are bioengineers paid well?

Biometrics engineers, a specialized type of bioengineer, typically earn competitive salaries due to their technical skills in biometric systems, data analysis, and software development. Salaries vary based on experience, education, and location but generally align with engineering industry standards, with many earning above the national average for engineering roles.

What are the key skills and qualifications needed to thrive as a Biometrics Engineer, and why are they important?

To thrive as a Biometrics Engineer, you need expertise in computer science, signal processing, machine learning, and mathematics, often supported by a relevant degree. Familiarity with biometric systems (such as fingerprint, facial, and iris recognition), programming languages (like Python or C++), and security protocols is typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you excel in designing reliable and user-friendly systems. These skills are crucial for developing secure biometric solutions that accurately identify individuals and protect sensitive information.

What is the difference between Biometrics Engineer vs Software Engineer?

AspectBiometrics EngineerSoftware Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related; certifications in biometrics or securityBachelor's in Computer Science or Software Engineering; certifications vary by specialization
Work EnvironmentResearch labs, security firms, biometric device companiesTech companies, software development firms, startups
Industry UsageBiometric security, authentication systems, law enforcementWeb, mobile apps, enterprise software, gaming
Common Search/ComparisonYesYes

Biometrics Engineers focus on developing biometric authentication systems like fingerprint, facial, or iris recognition, often working in security and law enforcement sectors. Software Engineers have a broader scope, designing and developing various software applications across industries. While both roles require programming skills, Biometrics Engineers specialize in biometric data and security protocols, making their roles distinct yet overlapping in technical foundation.

What are Biometrics Engineers?

Biometrics Engineers are professionals who design, develop, and implement technologies that use unique biological traits—such as fingerprints, facial features, or iris patterns—for identity verification and security. They work on creating algorithms and systems that accurately capture, process, and compare biometric data. Their work is crucial in fields like security, healthcare, and mobile technology, where reliable and secure identification methods are essential. Biometrics Engineers also address challenges related to privacy, data protection, and system integration.

What are some common challenges faced by Biometrics Engineers when integrating biometric systems into existing security infrastructures?

Biometrics Engineers often encounter challenges such as ensuring compatibility between new biometric technologies and legacy security systems, maintaining data privacy and compliance with regulations, and addressing user acceptance concerns. Integrating biometric solutions may require significant customization and testing to work seamlessly with existing hardware and software. Additionally, engineers must stay vigilant about evolving security threats to biometric data, making ongoing system updates and risk assessments essential parts of the role.

What do biometric engineers do?

Biometric engineers develop and improve biometric systems that identify or verify individuals based on physical or behavioral traits such as fingerprints, facial features, or voice. They work with sensors, algorithms, and software to ensure accuracy, security, and reliability in applications like security access, authentication, and forensic analysis.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.
What are popular job titles related to Biometrics Engineer jobs in Florida? For Biometrics Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Biometrics Engineer jobs in Florida look for? The top searched job categories for Biometrics Engineer jobs in Florida are:
Infographic showing various Biometrics Engineer job openings in Florida as of July 2026, with employment types broken down into 3% Internship, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Head of Data Science - Document Verification & Biometrics

Head of Data Science - Document Verification & Biometrics

Socure

Miami, FL • On-site

Full-time

Posted 18 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.