Machine Learning Engineer

Cedar Advanced Corp.; Detroit (MI); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Tuition reimbursement

Job summary

Cedar Advanced Corp. in Detroit, MI seeks a Machine Learning Engineer for a full-time role with negotiable salary.

You will develop and implement ML solutions to innovate and improve manufacturing processes, collaborating with engineers, data scientists, and product managers to deliver impactful projects. Requirements include a degree in CS/Engineering/Math and hands-on experience with TensorFlow or PyTorch.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or a related field.
• Experience as a Machine Learning Engineer or similar role.
• Proficiency in Python or R and ML frameworks such as TensorFlow or PyTorch.

Responsibilities

• Develop and deploy machine learning models to solve manufacturing problems.
• Collaborate with engineers and data scientists to design ML solutions.
• Optimize existing ML models to improve performance and accuracy.
• Conduct data analysis and feature engineering to boost model performance.
• Document and maintain ML models and their code.
• Stay current with ML advances and apply new techniques.

Skills

Python

R

Machine learning

Data analysis

Education

Bachelor's or Master's in CS/Engineering/Math

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Matplotlib

Job description

Cedar Advanced Corp. seeks a Machine Learning Engineer in Detroit, MI, for a FULL_TIME position with a negotiable salary. This role involves developing and implementing machine learning solutions to innovate and improve manufacturing processes.

In this role, you will work on projects that use machine learning to optimize production, enhance quality control, and improve operational efficiency. You will collaborate with engineers, data scientists, and product managers to deliver impactful solutions.

You will join the team at Cedar Advanced Corp. in Detroit, MI. The workplace is in the automotive and advanced manufacturing sector, known for its cutting-edge projects and innovative solutions.

The salary for this position is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience. Benefits include comprehensive health insurance, which covers medical, dental, and vision care, ensuring that employees and their families have access to quality healthcare. The company also offers retirement plans, such as a 401(k) or pension scheme, to help employees save and plan for their future. Additionally, professional development opportunities are provided, including tuition reimbursement, workshops, and access to online learning platforms, allowing employees to enhance their skills and advance their careers within the company.

To excel in this role, you should have a degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch is required. Knowledge of data analysis and visualization tools is a plus.

What You Will Do:

• Develop and deploy machine learning models to solve complex problems in manufacturing.


• Collaborate with engineers and data scientists to design and implement machine learning solutions.


• Optimize existing machine learning models to improve performance and accuracy.


• Conduct data analysis and feature engineering to enhance model performance.


• Document and maintain machine learning models and their associated code.


• Stay up-to-date with the latest advancements in machine learning and apply new techniques to our projects.

What You Bring:

• A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.


• Proven experience as a Machine Learning Engineer or a similar role.


• Strong programming skills in Python, R, or a similar language.


• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.


• Knowledge of data analysis and visualization tools like Pandas, NumPy, and Matplotlib.


• Understanding of statistical concepts and techniques.