[Hiring] Senior Data Scientist @Kiavi

Role Description

We are looking for a Senior Data Scientist to develop and apply modern machine learning and artificial intelligence across a range of products and business problems. The ideal candidate combines strong computer science foundations, rigorous experimental judgment, and the ability to turn advances in AI into reliable systems with measurable business impact.

The work spans document intelligence, multimodal systems that combine text, images, and structured data, and the adaptation of foundation models using proprietary datasets. These models support complex workflows in regulated financial services, where accuracy, explainability, data governance, reproducibility, and careful evaluation are essential.

You will work across the full machine learning lifecycle:

• Framing problems
• Developing datasets
• Building and evaluating models
• Running large-scale experiments
• Partnering with engineering teams to bring successful solutions into production

A central part of the role is turning successful approaches into reusable AI capabilities, patterns, and components that can support multiple teams and use cases rather than creating a separate one-off solution for every problem.

Qualifications

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent practical experience.
• 5+ years of experience developing machine learning solutions, including experience taking models beyond initial experimentation.
• Strong programming and software-engineering skills, particularly in Python.
• Strong foundations in machine learning, statistics, algorithms, data structures, and experimental design.
• Hands-on experience with deep-learning frameworks such as PyTorch or TensorFlow.
• Experience training or fine-tuning transformer-based, vision, or multimodal models.
• Experience working with GPUs and understanding the practical constraints of model training and inference.
• Ability to work with large, complex, and imperfect datasets.
• Demonstrated ability to own open-ended problems from initial investigation through implementation and measurement.
• Demonstrated ability to generalize successful solutions into reusable capabilities rather than one-off models.
• Strong communication and cross-functional collaboration skills.

Requirements

• Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
• Experience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning.
• Experience deploying and monitoring machine learning models in production.
• Familiarity with cloud infrastructure, distributed data processing, and modern ML development platforms.
• Experience building AI systems in regulated, risk-sensitive, or high-stakes environments.
• Contributions to applied research, open-source projects, patents, or production AI products.

Benefits

• Expected annualized base pay range for this full-time role to be performed remotely is $175,000 - $225,000 base + bonus + benefits.
• Pay may vary depending on your location and will be determined based on job-related skills, experience, qualifications, work location, and market conditions.

Identity Verification Notice

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Company Description

Kiavi takes a market-based approach to pay, and pay may vary depending on your location. The expected annualized base pay range for this full-time role to be performed remotely is $175,000 - $225,000 base + bonus + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries. Within the range, the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific base pay range for your preferred location during the hiring process.