Member of the Technical Staff

About the role

Kiso Kiso Technology is a firm based in San Francisco that develops algorithms, models, and software systems to solve complex problems in a variety of domains. Clients range from early-stage startups to some of the largest companies in the world.

Responsibilities

• Join a team with deep expertise in machine learning, optimization, data science, and software engineering.
• Work on small, focused project teams (typically 2-4 people) to address complex strategic questions and deliver end-to-end solutions to ambiguous questions like “How can we manage our inventory more efficiently?” and “Why are we losing customers?”
• Own the entire process—from framing the problem to building a solution and ensuring it drives lasting impact.
• Examples of solutions we might deliver:
• LLM-based agent to automate expert analyst workflows in healthcare revenue cycle, ingesting unstructured contracts and claim data to identify recovery opportunities across 100M+ claims
• Core recommendation engine for a major dating app
• Coherent hierarchical probabilistic forecasting model, for thousands of products with intermittent demand
• Real-time delivery route planner, accounting for traffic conditions and live order changes

Requirements

• Strong skills and professional experience in at least one of:
• software engineering in a collaborative, production environment
• applied math, e.g., AI, operations research, statistics, probability, and/or machine learning
• Product leadership on AI
• Excellent communication skills, can distill technical concepts for non-technical audiences
• Comfort in a client-facing role

Qualifications

• Nice to have:
• PhD in computer science, statistics, applied mathematics, or a related field
• Successful track record leading large-scale technical projects, especially in a customer-facing role
• Deep expertise and/or thought leadership in a technical field (e.g. influential writing, strong publication record, professorship)

Skills

• Software engineering in a collaborative, production environment
• Applied math, e.g., AI, operations research, statistics, probability, and/or machine learning
• Product leadership on AI
• Excellent communication skills
• Comfort in a client-facing role
• Deep expertise and/or thought leadership in a technical field

Benefits

We offer relocation assistance for new employees and highly-competitive compensation. The base salary range for this role is $110,000-$350,000. We also offer a generous performance-based bonus and an array of company benefits.

Pay

The base salary range for this role is $110,000-$350,000.

Schedule

This is an in-person role, based out of our office in San Francisco.