Inflection AI, Inc
Member of Technical Staff - Data Scientist (Machine Learning, Statistics)
Inflection AI, Inc, Palo Alto, California, United States, 94306
Overview
Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise.
The Role As a Member of Technical Staff - Data Scientist (Machine Learning, Statistics), you’ll be one of the first hires focused on building the experimentation and evaluation framework for our new enterprise ML product.
This role is core to defining how we measure success: from pre-deployment testing to live user impact analysis. As a Data Scientist, you’ll bring statistical rigor and clarity to noisy real-world data and help establish how we track quality, safety, and performance.
Responsibilities
Design and run experiments to measure model behavior, user experience, and product quality
Define and track key performance metrics to guide iteration and inform strategic decisions
Work with ML researchers to evaluate fine-tuning and training results using robust statistical methods
Build dashboards and tools to monitor product and model performance over time
Help define benchmarks and evaluation standards across the organization
Design simple, intuitive UIs for non-technical users to explore and act on complex data
Create interactive visualizations that reveal key patterns from high-dimensional datasets
Qualifications
Have deep experience in applied statistics, experimentation design, and analysis
Have built or contributed to evaluation systems for ML, with emphasis on safety, quality, or real-world impact
Are confident designing and interpreting A/B, multivariate, and sequential experiments
Can write data pipelines in Python using tools like pandas, NumPy, and statsmodels
Want to shape foundational processes for evaluating large-scale machine learning systems
Employee Pay Disclosures At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.
Inflection AI values and supports our team’s mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include:
Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Interview Process Apply: Please apply on Linkedin or our website for a specific role.
After speaking with one of our recruiters, you’ll enter our structured interview process, which includes the following stages:
Hiring Manager Conversation
– An initial discussion with the hiring manager to assess fit and alignment.
Technical Interview
– A deep dive with an Inflection Engineer to evaluate your technical expertise.
A domain-specific interview
A final conversation with the hiring manager
Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation.
For non-technical roles, be prepared for a role-specific interview, such as a portfolio review.
Decision Timeline
We aim to provide feedback within one week of your final interview.
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The Role As a Member of Technical Staff - Data Scientist (Machine Learning, Statistics), you’ll be one of the first hires focused on building the experimentation and evaluation framework for our new enterprise ML product.
This role is core to defining how we measure success: from pre-deployment testing to live user impact analysis. As a Data Scientist, you’ll bring statistical rigor and clarity to noisy real-world data and help establish how we track quality, safety, and performance.
Responsibilities
Design and run experiments to measure model behavior, user experience, and product quality
Define and track key performance metrics to guide iteration and inform strategic decisions
Work with ML researchers to evaluate fine-tuning and training results using robust statistical methods
Build dashboards and tools to monitor product and model performance over time
Help define benchmarks and evaluation standards across the organization
Design simple, intuitive UIs for non-technical users to explore and act on complex data
Create interactive visualizations that reveal key patterns from high-dimensional datasets
Qualifications
Have deep experience in applied statistics, experimentation design, and analysis
Have built or contributed to evaluation systems for ML, with emphasis on safety, quality, or real-world impact
Are confident designing and interpreting A/B, multivariate, and sequential experiments
Can write data pipelines in Python using tools like pandas, NumPy, and statsmodels
Want to shape foundational processes for evaluating large-scale machine learning systems
Employee Pay Disclosures At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary will fall in the range of approximately $175,000 - $350,000 depending on experience. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.
Inflection AI values and supports our team’s mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include:
Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Interview Process Apply: Please apply on Linkedin or our website for a specific role.
After speaking with one of our recruiters, you’ll enter our structured interview process, which includes the following stages:
Hiring Manager Conversation
– An initial discussion with the hiring manager to assess fit and alignment.
Technical Interview
– A deep dive with an Inflection Engineer to evaluate your technical expertise.
A domain-specific interview
A final conversation with the hiring manager
Depending on the role, we may also ask you to complete a take-home exercise or deliver a presentation.
For non-technical roles, be prepared for a role-specific interview, such as a portfolio review.
Decision Timeline
We aim to provide feedback within one week of your final interview.
#J-18808-Ljbffr