Machine Learning Engineer at miteksystems-2

Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com. At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.​ ​ We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. These lived experiences influence our decisions, shape our products, services, and help us grow with intention. When it comes to talent, our goal is clear: to discover exceptional individuals and to ensure they discover us. We prioritize drive, skill, experience, and ambition in everything we do for our clients. We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working. About Mitek Systems  Specializing in identity verification, authentication, biometrics, image capture, and fraud detection, our products ensure swift onboarding, instant identity verification, and robust defense against rising threats, such as check fraud, deepfakes, and AI-powered fraud. Trusted by millions globally, our enterprise-grade solutions are relied on by some of the world's leading enterprises, offering peace of mind for both the company and their customers. Our mission is simple but essential: To protect what's real.    The Impact You'll Make  As a Machine Learning Engineer, you will participate in applied ML initiatives that power our next-generation Identity Verification (IDV) engine. You'll work hands-on across the full lifecycle - data collection, organization, model design, training, evaluation, and production monitoring - delivering models that are accurate, fast, and cost-efficient in real-world, adversarial environments.  What You’ll Do (Essential Responsibilities): • Build, train, and ship ML models for identity verification use cases such as biometric matching, liveness / anti-spoofing, identity document processing (OCR/extraction), and fraud detection (team assignment based on experience). • Prepare large, noisy datasets: ingestion, validation, cleaning, deduplication, labeling strategy, and dataset QA to improve model performance and reliability. • Design experiments, evaluation protocols, and success metrics (offline and online), iterate based on measurable business impact (detection rates, fraud losses, false positives). • Develop production-grade training and inference pipelines on AWS with strong reproducibility, monitoring, and cost controls. • Productionize models as resilient services and libraries in Python; collaborate with platform teams on APIs, latency and observability. • Contribute to the transformation of our IDV engine: modernizing legacy components, improving modularity, and raising quality, performance, and maintainability. • Work closely with Product, Customer Success, and Platform Engineering teams to ensure ML solutions meet privacy, compliance, and reliability requirements. • Support other engineers through design reviews, code reviews, and knowledge sharing; help raise the technical bar across the team. Who You Are (Soft Skills/Attributes): • Analytical, creative, and innovative. You eagerly try new things and learn from your experiences. • Logical and creative problem-solver with the ability to summarize issues effectively. • Excellent time manager, with the ability to efficiently shift priorities. • Clear and concise communicator. You effectively set expectations and raise issues as needed. • Strong team player with a positive attitude and ability to adapt to changes. • Demonstrate ability to work with ambiguous requirements, adapt, and learn. • Knowledgeable with broad technical experience in all design phases. • Competent in programming and debugging across multiple modules and dealing with related external dependencies. • Willing to learn and adapt to new technologies. What You Need (Required Knowledge, Skills & Abilities): • Bachelors degree in computer science or related field paired with knowledge, skills and abilities typically gained from 2-5 years of experience in applied machine learning / ML engineering with strong software engineering fundamentals (or equivalent combination of education and experience). • Strong Python skills and experience building production ready code. • Demonstrated experience solving computer vision tasks with ML models utilizing PyTorch or Tensorflow. • Strong computer vision background, including experience with CNNs, vision transformers, and foundation models. • Proven ability to work with large datasets and build reliable data preprocessing/feature engineering pipelines; comfort with distributed data tooling is a plus. • Clear communication skills and the ability to work effectively across engineering, product, and operations stakeholders. What Would be Nice (Preferred Skills & Experience): • Experience running ML in production: containerization (Docker), CI/CD, monitoring, and model/version management; ability to troubleshoot data/model issues end-to-end. • Experience optimizing models for real-time constraints (quantization, distillation, pruning, ONNX) and performance tuning for CPU/GPU inference. • Model understanding / interpretability experience (e.g., Grad-CAM, saliency maps, error slicing, and targeted evaluation). • Experience with experiment tracking (e.g., MLflow, Weights & Biases) and strong habits around reproducibility. Our Tech Stack Includes: • Cloud: AWS (AWS-native services for AI/ML and production workloads) • Languages: Python • Data & Storage: S3, DynamoDB, MongoDB (varies by service) • ML Platform: SageMaker (plus standard tooling for training, evaluation, and monitoring) • ML Tools: Tensorflow, PyTorch, Matplotlib, Pandas, Scikit-learn, OpenCV, Pillow • Deployment: Containers and orchestration (ECS/EKS), CI/CD, observability We take pride in enabling career growth in an environment of innovation and teamwork.  Our commitment to all Mitekians is to do meaningful work that matters.  Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes.  We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.    Benefit offerings – may vary based on geographic location Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics  Financial future: retirement/pension plan contributions, MTK stock plan participation   Income protection: life event & disability coverage  Paid time off: generous annual leave, company holidays, volunteer time off  Learning: e-learning license, tuition reimbursement, hackathons  Home office setup allowance Additional/optional benefits: pet insurance, identity theft protection, legal assistance    We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further!