Senior Software Engineer (Computer Vision / ML Engineer)

LexisNexis Special Services Inc.; Sydney; Hybrid; AUD 140,000 - 190,000; Full time

Job summary

LexisNexis Risk Solutions’ IDVerse team in Australia is seeking a Senior Computer Vision / ML Engineer to push forward research and production systems in biometrics, liveness, and anti-spoofing. You will explore new ideas, design experiments, and translate findings into robust, scalable code.

Responsibilities include building CV/ML models, evaluating approaches on challenging datasets, and deploying solutions with Python, PyTorch, CUDA, and related tools.

Qualifications

• Strong foundations in computer vision, ML, and math/statistics.
• Ability to design and evaluate controlled experiments on challenging datasets.
• Experience translating research into production-grade software.

Responsibilities

• Research and invent in CV/ML, anti-spoofing and deepfake detection.
• Build and evaluate deep learning models for image/video data.
• Deploy models into production with reliable, scalable systems.
• Collaborate with global remote team to push state-of-the-art research into IDVerse products.

Skills

Python

PyTorch

Deep Learning

C/C++

CUDA

ONNX/TensorRT

Education

Bachelor's or Master's in CS/ML/Math/Engineering

Tools

PyTorch

TensorRT

ONNX

CUDA

Job description

Senior Software Engineer (Computer Vision / ML Engineer)This site, powered by Workday, uses cookies that are essential for the site to work. The site may also use additional cookies to analyze site statistics and optimize the site experience. Click “Accept Cookies” to accept all additional cookies or click “Decline” to reject all non-essential cookies. For more information, see our Cookie Notice.### Senior Software Engineer (Computer Vision / ML Engineer)Apply: Sydney: Posted Today: R118855**Senior Computer Vision / ML Engineer** Full-time | Remote | Australia **About the Business**LexisNexis Risk Solutions helps organizations assess and manage risk across identity verification, fraud prevention, financial crime compliance, credit risk, and customer data management. **About Our Team**IDVerse builds identity verification technology to fight fraud at global scale. Our systems must stay effective against evolving attacks including spoofing, deepfakes, injection attacks, and AI-generated fraud. We are a team of researchers and engineers who think from first principles, experiment rigorously, and invent new approaches as we continuously improve our systems. **What You'll Do*** Research and invent: Investigate difficult problems in computer vision, biometrics, liveness, anti-spoofing, deepfake detection, generative AI, and adversarial attacks. Form hypotheses, run controlled experiments, and develop conclusions that can be trusted. Understand not only whether something works, but why it works, where it fails, and what to try next.* Red Team Mindset: Develop novel presentation, injection, deepfake, synthetic-media, and AI generated attacks against our systems. Build adversarial evaluations, expose weaknesses, understand their underlying causes, and develop robust defenses.* Build advanced CV/ML models: Design, train, evaluate, and optimize deep learning approaches across image, video, and multimodal data, applying techniques such as representation learning, transformers, generative models, 3D/geometric vision, where appropriate.* Own research through production: Take ideas from research and prototyping through benchmarking, optimization, deployment, and real-world evaluation.* Push the state of the art: Stay close to emerging computer vision and AI research, reproduce and challenge promising ideas, and identify opportunities to turn research advances into meaningful improvements to IDVerse products.**Required qualifications*** Deep knowledge of computer vision, machine learning, and deep learning, backed by strong foundations in mathematics, statistics, optimization, or related disciplines.* Demonstrated ability to solve open-ended research and engineering problems, rather than only implementing established solutions.* Strong experience with Python and PyTorch or equivalent modern deep-learning* frameworks.* Experience designing controlled experiments, analyzing model behavior and failure modes, and evaluating models against challenging datasets.* Ability to translate research concepts into efficient, reliable production systems.* Strong software engineering fundamentals. Experience with C/C++, CUDA, TensorRT, ONNX.* Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics,* Engineering, or a related discipline, or equivalent demonstrated expertise. **Highly Desirable*** PhD or equivalent research experience in computer vision, machine learning, AI, mathematics, or a related field.* Publications, patents, significant open-source contributions, competition results, or other evidence of original technical or research contributions.* Experience with biometrics, liveness / presentation attack detection, deepfakes, synthetic media, adversarial ML, or AI security.* Red-team or adversarial research experience, particularly discovering novel ways to attack, manipulate, or stress-test ML/CV systems.* Familiarity with biometric security and presentation-attack standards such as ISO/IEC 30107. **Location and collaboration**The team is remote and globally distributed. Candidates must have full working rights in Australia.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **here****.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.