VP of Applied Science

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Information Technology • Security • Software
The Role
Lead and grow a global applied science organization (20+), set technical vision for identity verification and fraud-detection AI, drive research-to-production projects with measurable business impact, engage customers and cross-functional stakeholders, and champion responsible, fair, and explainable biometric and identity ML systems.
Summary Generated by Built In

Join us at Entrust  

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. 

   

Get to Know Us  

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.  

VP of Applied Science

Job Type: Permanent, full-time

Location: Paris or London (Hybrid)

What you will be doing

  • Lead and grow a team of 20+ Applied Scientists through several Applied Science Leads — coaching, developing and retaining your people while attracting world-class scientists into a culture of creativity, technical depth and excellence
  • Set the technical direction of the Applied Science team. Initiate, plan and drive transformative AI projects in the field of Identity Verification and Fraud detection from research all the way to production
  • Communicate the technical vision and roadmap at multiple levels within the organization and externally
  • Influence the strategic direction of the Identity Security Line of Business, in direct interaction with all functions: Product, Engineering, Analytics, Legal, Marketing, Finance, Sales and Customer Success
  • Engage directly with a global customer base, joining strategic customer conversations and making critical decisions that shape both the product and the science behind it
  • Be accountable for the real-world impact of the team's work — connecting science outcomes to the metrics that matter (fraud detection, accuracy, conversion, cost) and owning the trade-offs between long-horizon research and near-term delivery
  • Champion responsible and trustworthy AI — fairness, bias mitigation, explainability and model governance — ensuring our biometric and identity systems perform equitably and withstand regulatory and customer scrutiny

Essential Skills

  • Advanced degree (PhD or equivalent) in Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field — or equivalent industry research experience
  • Deep technical expertise in machine learning and deep learning, with hands-on grounding in one or more of: computer vision, biometrics, anomaly/fraud detection, or generative AI
  • A minimum of 10 years of experience in Applied Machine Learning in a B2B setting at industrial scale
  • Proven track record of taking applied research from concept through to production at scale, with measurable business impact
  • Experience leading leaders: managing and developing other managers/leads, scaling and retaining high-performing science teams
  • Strong technical judgment to set direction across multiple concurrent research workstreams and make pragmatic build-vs-research-vs-buy decisions
  • Demonstrated ability to influence strategy cross-functionally and to translate complex technical concepts for executive, commercial, and non-technical audiences
  • Excellent written and verbal communication, including representing the science function in customer-facing and external settings
  • Established external presence: publications, patents, conference talks, or recognized contributions to the ML/CV community

Desirable Skills

  • Domain experience in identity verification, biometrics, document authentication, liveness/presentation-attack detection, or digital fraud
  • Familiarity with deepfake and synthetic-media detection and the evolving generative-AI threat landscape
  • Working knowledge of model fairness, bias mitigation, and demographic performance evaluation (e.g., NIST FRVT-style testing) in biometric systems
  • Awareness of the regulatory and privacy context for identity data (GDPR, biometric-data regulation, privacy-preserving ML)

At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:  

  • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.  

  • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.  

  • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.  

We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.  

 

Ready to Make an Impact?  

If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.  

   

Apply today!  

 

For more information, visit www.entrust.com.  Follow us on, LinkedIn, Facebook, Instagram, and YouTube 

For US roles, or where applicable:

Entrust is an EEO/AA/Disabled/Veterans Employer

For Canadian roles, or where applicable:

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact [email protected].

Recruiter:

Jack Steib

[email protected]

Skills Required

  • Advanced degree (PhD or equivalent) in Computer Science, Machine Learning, Applied Mathematics, or related quantitative field, or equivalent industry research experience
  • Deep technical expertise in machine learning and deep learning
  • Hands-on grounding in one or more of: computer vision, biometrics, anomaly/fraud detection, or generative AI
  • Minimum 10 years of experience in Applied Machine Learning in a B2B setting at industrial scale
  • Proven track record of taking applied research from concept through to production at scale with measurable business impact
  • Experience leading leaders: managing and developing other managers/leads and scaling high-performing science teams
  • Strong technical judgment to set direction across multiple concurrent research workstreams and make pragmatic build/research/buy decisions
  • Demonstrated ability to influence strategy cross-functionally and translate complex technical concepts for executive, commercial, and non-technical audiences
  • Excellent written and verbal communication, including representing the science function in customer-facing and external settings
  • Established external presence: publications, patents, conference talks, or recognized contributions to the ML/CV community
  • Domain experience in identity verification, biometrics, document authentication, liveness/presentation-attack detection, or digital fraud
  • Familiarity with deepfake and synthetic-media detection and generative-AI threat landscape
  • Working knowledge of model fairness, bias mitigation, and demographic performance evaluation (e.g., NIST FRVT-style testing)
  • Awareness of regulatory and privacy context for identity data (GDPR, biometric-data regulation, privacy-preserving ML)

Entrust Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entrust and has not been reviewed or approved by Entrust.

  • Retirement Support Retirement plans are characterized as strong, with a notable employer match and a well-regarded 401(k) offering. This support materially strengthens total compensation.
  • Leave & Time Off Breadth Time-off provisions are described as generous, including substantial PTO and paid holidays with growth over tenure. Regional examples also highlight parental leave enhancements in some locations.
  • Flexible Benefits Hybrid and work-from-home options alongside flexible hours are available and support work–life balance. These arrangements add meaningful flexibility to the total rewards mix.

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The Company
HQ: Shakopee, MN
2,800 Employees
Year Founded: 1994

What We Do

Entrust offers identity-based security software and services.

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