Machine Learning Engineer

Northwind North Corp.; Detroit (MI); On-site; USD 110,000 - 150,000; Full time

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., a leading automotive company, seeks a Machine Learning Engineer in Detroit, MI. This full-time position offers a negotiable salary and is open until November 23, 2026.

You will develop and implement machine learning algorithms to enhance vehicle technologies. Tasks include collaborating with teams to improve efficiency, safety, and user experience.

Collaborate with diverse teams within Northwind's advanced facilities in Detroit, Michigan. Engage with cross-functional groups to achieve shared goals and foster a dynamic work environment. Utilize the state-of-the-art infrastructure to support your projects and contribute to the company's success. Work alongside professionals from various departments to drive innovation and efficiency. Leverage the resources and technology available at Northwind to excel in your role and support the organization's mission.

Salary negotiation is a crucial aspect of the hiring process, where both the employer and employee discuss and agree on the salary terms. Benefits, in addition to the base salary, play a significant role in attracting and retaining talent. Competitive compensation ensures that the salary offered is in line with industry standards and the candidate's experience level. Opportunities for professional growth, such as training programs, mentorship, and career advancement, are essential for employee satisfaction and long-term success. These benefits not only enhance the employee's skills but also contribute to the overall productivity and success of the organization.

Duties

• Design and develop machine learning models to solve complex problems in the automotive industry.
• Collaborate with engineers, data scientists, and other stakeholders to understand project requirements and deliver effective solutions.
• Implement and deploy machine learning algorithms in our vehicle technologies.
• Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Stay up-to-date with the latest advancements in machine learning and emerging technologies.
• Mentor and guide junior team members to foster a culture of continuous learning and improvement.
• Contribute to the development of best practices and standards for machine learning within the organization.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of data structures, algorithms, and statistical methods.
• Knowledge of cloud platforms like AWS, Azure, or GCP.
• Excellent problem-solving skills and the ability to work independently and as part of a team.