Clara is the leading spend management platform for companies in Latin America. Our end-to-end solution includes locally-issued corporate cards, bill pay, and our highly-rated software platform; already being used by thousands of the most successful companies across the region.

Clara is backed by top investors and strategics including Accial Capital, Canary, Citi Ventures, Coatue, DST Global, General Catalyst, Goldman Sachs, ICONIQ Growth, Kaszek, Monashees, and Notable Capital, as well as prominent angel investors.

Key Responsibilities:

Collaborate with cross-functional teams including machine learning engineers, researchers, and domain experts to define and understand project requirements.
Experience working with OCR models and generative AI agents.
Design, and implement state-of-the-art generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant techniques.
Fine-tune generative models using large datasets to create realistic and high-quality synthetic data that mirrors real-world patterns.
Develop and optimize algorithms to generate diverse and representative samples while maintaining data privacy and security.
Work on improving the performance, stability, and scalability of existing generative models, making them suitable for production environments.
Collaborate with the data engineering team to design pipelines for efficient data preprocessing, model training, and deployment.
Evaluate the effectiveness and quality of generated data through quantitative and qualitative assessments, and iterate on models to achieve desired outcomes.
Stay up-to-date with the latest advancements in generative modeling techniques and contribute to the company's knowledge base through research papers, presentations, and internal documentation.
Participate in brainstorming sessions to identify new use cases and innovative applications of generative models across the company's products and services.

Qualifications:

Master's or Ph.D. degree in Computer Science, Machine Learning, Data Science, or a related quantitative field.
Proven experience working with generative models, such as GANs, VAEs, and other relevant techniques.
Strong programming skills in languages such as Python, TensorFlow, and PyTorch for model development, training, and evaluation.
Solid understanding of deep learning architectures, optimization techniques, and model evaluation metrics.
Proficiency in working with large datasets and experience in data preprocessing, transformation, and augmentation.
Knowledge of cloud platforms and tools for deploying machine learning models at scale is a plus.
Excellent problem-solving skills, with the ability to research, analyze, and implement innovative solutions independently.
Strong communication skills to collaborate effectively with cross-functional teams and present complex technical concepts to non-technical stakeholders.

The way we do things is as important as what we do. That is why we operate on a set of carefully-identified values. They are what we expect from ourselves and each other in our day-to-day.

We value

Clarity - Open and direct communication
Simplicity - Pare things down to the essential
Ownership - We're all owners and act like it
Pride - Make quality products we're proud of
Always Be Changing (ABC) - Continuous self-improvement
Inclusivity - Every voice counts; we value each other for our shared mission and contributions

We are

Shaping business finances in Latin America
Driven by our 6 core values
Proud of our inclusive and caring culture
Certified as Top LinkedIn Startup

What We offer

Competitive salary & a robust stock ownership plan
100% flexible work model
A set of benefits that are adaptable to your needs & way of life
Opportunities for growth in a fast-paced environment
A chance to shape B2B payments in Latin America and increase the region's economic competitiveness