Socure
9 days ago
Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.
Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.
Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:
https://www.youtube.com/watch?v=ifM9_jPQCv8
Overview
Location: US, Remote
About Us:
Socure Inc. is a leader in identity verification and fraud prevention, using advanced AI and machine learning to solve some of the most complex challenges in the digital world. Our Document Verification (DocV) product plays a critical role in ensuring the authenticity and accuracy of documents, which is essential in establishing trust in online transactions. Join us in our mission to eliminate identity fraud and create a more secure digital world.
Job Overview:
We are seeking an experienced Tech Lead Senior Manager in Computer Vision to lead our efforts on the Document Verification (DocV) product. .This role involves driving innovative projects focused on image liveness detection, deepfake detection, injection attack detection and fraudulent document detection using advanced AI techniques. The role is split between hands-on technical work and team management, requiring a leader who can effectively balance both responsibilities.
Key Responsibilities:
Technical Leadership (50%):
Lead the design, development, and deployment of cutting-edge computer vision solutions for document verification
Engage in hands-on coding, model development, and data analysis to enhance the accuracy and reliability of our DocV product.
Oversee the implementation of machine learning algorithms and computer vision techniques to improve document verification processes.
Collaborate with cross-functional teams, including product management, engineering, and other data scientists, to ensure alignment with the DocV product goals.
Team Management (50%):
Manage and mentor a team of engineers and data scientists working on the DocV product, fostering a collaborative and innovative work environment.
Provide technical guidance and direction to the team, ensuring high-quality deliverables that meet the DocV product objectives.
Oversee project timelines, ensuring that milestones are met and that the team is aligned with the broader company objectives.
Facilitate regular team meetings, performance reviews, and professional development opportunities.
Qualifications:
Advanced degree (Masters or Ph.D.) in Computer Science, Data Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
7+ years of experience in computer vision, with at least 3 years in a leadership role, preferably in the context of document verification or identity verification.
Proven experience leading and managing teams in a fast-paced, innovative environment.
Strong proficiency in programming languages such as Python, C++,
Extensive experience with computer vision frameworks and libraries such as OpenCV, PyTorch, or similar.
Deep understanding of machine learning algorithms, neural networks, and data processing techniques relevant to document verification.
Excellent communication and leadership skills, with the ability to inspire and lead a diverse team.
Preferred Qualifications:
Experience in document verification, identity verification, fraud prevention, or a related domain.
Familiarity with cloud-based environments such as AWS, or Databricks.
Experience with big distributed computing technologies such as Kubernetes.
Experience with model serving technologies such as TorchServe or ONNX.
A strong publication record or patents in the fields of computer vision or machine learning.
What We Offer:
Competitive salary and comprehensive benefits package.
An opportunity to work on impactful projects within the DocV product that make a difference in the world of digital identity.
A dynamic and inclusive work environment that values innovation and creativity.
Opportunities for career advancement in a rapidly growing company.
How to Apply:
Please submit your resume and a cover letter detailing your experience and why you are the right fit for this role. We look forward to reviewing your application!
Salary Disclosure:
Base Salary range: $200,000 - $230,000
This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socures compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus.
Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.
We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.
To learn more, check out Socure’s Career Page: https://www.socure.com/company/careers
Socure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
To learn more about how our work is changing the world, check out these articles and videos:
Socure is Forbes 2022 Best Startup Employer: https://bit.ly/3fbNw8S
Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7
Socures Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU
Socures Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4
Archives & Press Releases: https://learn.socure.com/about/press-release