or apply directly on Kiavi's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 7 days Kiavi's roles stay open a median of 9 days
- Reposted
- No
- Salary listed
- Yes 75% of Kiavi's roles list one
- Ghost-job risk at Kiavi
- low 0 stale, 0 reposted of 4 open
- Hiring momentum
- 9 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Kiavi's own greenhouse board since 2026-08-03. Full hiring picture for Kiavi.
About this role
The Senior Data Scientist will develop and implement machine learning and AI solutions across various products and business challenges, focusing on document intelligence and multimodal systems. Responsibilities include designing and evaluating models, running experiments, and collaborating with engineering teams to deploy solutions. The role emphasizes creating reusable AI capabilities and ensuring models are suitable for production use while communicating results to both technical and non-technical stakeholders.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Kiavi as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Expected annualized base pay range of $175,000 - $225,000 base + bonus + benefits
Worth weighing
- No specific mention of the company's tech stack or tools beyond general frameworks
- The role involves working in regulated financial services, which may add complexity to projects
- Identity verification process required for all candidates
- Pay may vary based on location and other factors, with a recruiter providing specific details during the hiring process
Summarised from Kiavi's posting. Read the full original.
Listed by Kiavi on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.