ML Engineer

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. For more information, please visit www.transmitsecurity.com.

About The Opportunity

Transmit Security is a top player in its game and is heading for an exciting year. In this role you will be responsible for research and development of initiatives to advance AI / ML technologies at Transmit. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats and enhance customer experience.

What You'll Be Doing

• Cover a wide range of areas - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for fraud prevention / identity security
• Leverage predictive models to optimize customer experiences that will affect millions of users worldwide.
• Conduct Ideation and experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
• Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability
• Perform data exploration and analysis
  
  

• Bachelor's degree in computer science, or a related field from a familiar university
• At least 3 years of experience as a Data-scientist / ML Engineer
• Experience in designing, training and evaluating models
• Strong knowledge of deep learning models and common model architecture such as transformer models, CNNs, RNNs and LSTMs.
• Familiarity with cloud-based infrastructure.
• Independent, persistent, and a "getting things done" person.
• Excellent interpersonal skills.
  
  

• Master’s degree in Computer Science or a related field.
• Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
• Experience in software engineering and with data structures
• Expertise in natural language processing, especially practical experience developing modern, transformer-based language models