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Autonomous Driving Feature Development Engineer

Aptiv

Autonomous Driving Feature Development Engineer

Aptiv

Carmel, IN - USA

·

On-site

·

Full-time

·

5d ago

Major Accountabilities:

Develop and evaluate machine learning models for various AI applications, leveraging techniques such as supervised learning, unsupervised learning, and reinforcement learning.

Conduct thorough model evaluation and validation, including performance metrics analysis, to ensure accuracy, reliability, and robustness.

Implement and optimize automated machine learning (AutoML) pipelines and frameworks to streamline model development, training, and deployment processes.

Utilize AutoML tools and techniques to automate feature engineering, model selection, and hyperparameter tuning for improved efficiency and scalability.

Utilize cloud computing platforms such as AWS, Azure, or Google Cloud to deploy and scale machine learning models and applications.

Leverage cloud-based services and resources for data storage, processing, and analysis to support AI/ML workflows and pipelines.

Implement continuous integration and continuous development (CICD) pipelines and practices to automate model deployment, testing, and monitoring.

Integrate AI/ML solutions into existing CICD workflows, ensuring seamless integration with software development processes.

Apply knowledge of automotive product development processes and industry standards to design and develop AI/ML solutions for automotive applications.

Collaborate with cross-functional teams to understand product requirements, specifications, and constraints, ensuring alignment with automotive development practices.

Design and conduct A/B tests and experiments to evaluate the effectiveness and impact of AI/ML models and algorithms in real-world scenarios.

Analyze test results and make data-driven recommendations for model improvements and optimizations based on observed performance metrics.

Develop and orchestrate ML workflows using Kubeflow Pipelines to automate model training, evaluation, and deployment processes in Kubernetes environments.

Implement continuous integration and delivery pipelines using Jenkins to automate build, test, and deployment tasks for AI/ML projects.

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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About Aptiv

Aptiv

A global technology company that develops safer, greener, and more connected solutions, which enable the future of mobility.

10,001+

Employees

Dublin

Headquarters

Reviews

3.8

5 reviews

Work Life Balance

2.5

Compensation

2.8

Culture

3.2

Career

3.0

Management

2.3

Pros

Cutting-edge automotive technology and innovation

Interesting projects with real impact

Great team members and colleagues

Cons

Poor work-life balance during projects

Job instability and mass layoffs

Bad management and leadership

Salary Ranges

295 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$67,909

total / year

Base

$27,164

Stock

$33,955

Bonus

$6,791

$47,536

$88,282

Interview Experience

4 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

Resume Review

3

Recruiter Screen

4

Phone Interview

5

Final Interview

6

Offer Decision

Common Questions

Behavioral/STAR

Past Experience

Culture Fit

Industry Knowledge

Leadership Scenarios