Senior AI Data and Evaluation Engineer

Menlo Park, CA - USA

Monthly Salary: $ 116 - 193

Posted on: 23 hours ago

Vacancies: 1 Vacancy

Job Summary

Work Flexibility: Hybrid

What You Will Do:
We are looking for an experienced and highly skilled Senior AI Data and Validation Engineer. A successful candidate will be responsible for both dry and wet lab experiments for AI functionality acquiring datasets developing labeling guidelines and preparing dataset for AI model development. Also candidate will be responsible for developing methods and processes for scientific evaluation of AI/ML models used in medical devices ensuring compliance with all applicable FDA guidelines and regulations. This role is crucial for maintaining the safety effectiveness and quality of AI-enabled medical devices throughout their product lifecycle from initial training to final validation. The engineer will contribute to the design execution and analysis of validation studies ensuring that the devices perform predictably and reliably for their intended use and across all relevant demographic groups. placing a strong emphasis on comprehensive data management practices including data collection processing annotation storage and use. This includes ensuring data integrity quality and representativeness to mitigate potential biases and demonstrate the safety effectiveness and quality of AI-enabled medical devices throughout their lifecycle.

What you will do:

Perform dataset collection develop synthesis generation preparing datasets for AI development stress testing and validation.
Execute web lab experiments that interact with human blood samples with good laboratory practice.
Create detailed validation plans protocols and reports for AI-enabled medical device software functions encompassing both performance validation and model evaluation.
Perform Data Operation such as management of data used in both the development and validation of AI models ensuring the quality diversity and independence of datasets . This involves assessing data representativeness addressing potential biases and ensuring the appropriate separation of training and test datasets
Conduct comprehensive risk assessment for AI models considering potential and unintended biases limitations and cybersecurity vulnerabilities
Conduct rigorous performance validation studies analyzing performance across different subgroups of the intended user population .
Perform analysis to address transparency and bias throughout the device lifecycle from design to post-market surveillance . This includes evaluating whether a device benefits all relevant demographic groups similarly and incorporating transparency into device design
Stay abreast of the latest FDA guidelines regulations and industry best practices related to AI model validation in medical devices.

Minimum Qualifications (Required):

Bachelors Degree in Computer Science Machine Learning Electrical Engineering Mathematics Statistics Bioengineering or related field 2 years of work experience required.
OR Masters Degree in the above fields

Preferred Qualifications (Strongly desired):

2 years of experience in medical device R&D preferably AI-enabled devices.
Fluent in commercial data analysis tools or similar scripting and statistical language for data analysis Python preferred.
Experience in the development evaluation and validation of AI models specifically within the medical device or healthcare industry. This experience including one or more of the following R&D life cycle: Data Acquisition and preprocessing and labeling model training and tuning AI Model evaluation and performance bias detection and mitigation risk assessment and QMS documentation
Experience in Statistics and descriptive data analysis to help develop data-driven scientific rigor to AI model validation process including experience with one or more of the following: confidence intervals development power analysis statistical tests etc.
Entry level knowledge with AI/ML frameworks such as PyTorch OpenCV TensorFlow scikit-learn etc. for model training and development testing and validation.
Experience with commercial Data Operation tools
General knowledge of the healthcare market and competitors.

$116k - $193k salary plus bonus eligible benefits. Individual pay is based on skills experience and other relevant factors.

Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race ethnicity color religion sex gender identity sexual orientation national origin disability or protected veteran status. Stryker is an EO employer M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information.

Required Experience:

Senior IC

Work Flexibility: HybridWhat You Will Do:We are looking for an experienced and highly skilled Senior AI Data and Validation Engineer. A successful candidate will be responsible for both dry and wet lab experiments for AI functionality acquiring datasets developing labeling guidelines and preparing d...

Work Flexibility: Hybrid

What you will do:

Perform dataset collection develop synthesis generation preparing datasets for AI development stress testing and validation.
Execute web lab experiments that interact with human blood samples with good laboratory practice.
Create detailed validation plans protocols and reports for AI-enabled medical device software functions encompassing both performance validation and model evaluation.
Perform Data Operation such as management of data used in both the development and validation of AI models ensuring the quality diversity and independence of datasets . This involves assessing data representativeness addressing potential biases and ensuring the appropriate separation of training and test datasets
Conduct comprehensive risk assessment for AI models considering potential and unintended biases limitations and cybersecurity vulnerabilities
Conduct rigorous performance validation studies analyzing performance across different subgroups of the intended user population .
Perform analysis to address transparency and bias throughout the device lifecycle from design to post-market surveillance . This includes evaluating whether a device benefits all relevant demographic groups similarly and incorporating transparency into device design
Stay abreast of the latest FDA guidelines regulations and industry best practices related to AI model validation in medical devices.

Minimum Qualifications (Required):

Bachelors Degree in Computer Science Machine Learning Electrical Engineering Mathematics Statistics Bioengineering or related field 2 years of work experience required.
OR Masters Degree in the above fields

Preferred Qualifications (Strongly desired):

2 years of experience in medical device R&D preferably AI-enabled devices.
Fluent in commercial data analysis tools or similar scripting and statistical language for data analysis Python preferred.
Experience in the development evaluation and validation of AI models specifically within the medical device or healthcare industry. This experience including one or more of the following R&D life cycle: Data Acquisition and preprocessing and labeling model training and tuning AI Model evaluation and performance bias detection and mitigation risk assessment and QMS documentation
Experience in Statistics and descriptive data analysis to help develop data-driven scientific rigor to AI model validation process including experience with one or more of the following: confidence intervals development power analysis statistical tests etc.
Entry level knowledge with AI/ML frameworks such as PyTorch OpenCV TensorFlow scikit-learn etc. for model training and development testing and validation.
Experience with commercial Data Operation tools
General knowledge of the healthcare market and competitors.

$116k - $193k salary plus bonus eligible benefits. Individual pay is based on skills experience and other relevant factors.

Travel Percentage: 10%

Required Experience:

Senior IC

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Stryker

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongsid ... View more

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