ML Engineer - Automotive AI & Vehicle Tech in Detroit

Northwind North Corp.

Detroit (MI)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Mentorship
Training programs
Career advancement
Competitive compensation

Job summary

Northwind North Corp. in Detroit, MI, is seeking a Machine Learning Engineer to develop and implement ML algorithms for advanced vehicle technologies.

You will collaborate with cross-functional teams to improve efficiency, safety, and user experience using state-of-the-art infrastructure. Responsibilities include designing models, deploying them in real-world systems, testing for accuracy, and mentoring junior engineers.

Qualifications

  • Bachelor's degree required in CS/EE or related field.
  • 3+ years of ML engineering experience.
  • Proficiency in Python, R or Java.
  • Experience with ML frameworks like TensorFlow, PyTorch or scikit-learn.
  • Strong data structures, algorithms and statistics knowledge.
  • Cloud platform knowledge (AWS/Azure/GCP).

Responsibilities

  • Design and develop machine learning models for automotive tech.
  • Collaborate with engineers, data scientists, and stakeholders to define requirements.
  • Implement and deploy ML algorithms in vehicle technologies.
  • Test and validate models for accuracy and reliability.
  • Stay updated with ML advancements and mentor junior staff.
  • Help establish ML best practices within the organization.

Skills

Problem solving
Independent
Team collaboration
Mentoring

Education

Bachelor's degree in Computer Science/Electrical Engineering

Tools

Python
R
Java
TensorFlow
PyTorch
scikit-learn

Job description

Northwind North Corp. in Detroit, MI, is seeking a Machine Learning Engineer to develop and implement ML algorithms for advanced vehicle technologies.

You will collaborate with cross-functional teams to improve efficiency, safety, and user experience using state-of-the-art infrastructure. Responsibilities include designing models, deploying them in real-world systems, testing for accuracy, and mentoring junior engineers.

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