Machine Learning Engineer

Crossing Hurdles; Remote; USD 125,000 - 150,000; Full time

Job summary

A technology company in Ann Arbor is seeking an experienced Software Engineer III specializing in machine learning and data systems. In this full-time role, you will design and maintain ML pipelines, apply statistical techniques to address challenges, and analyze data for insights. Candidates must have a relevant degree and solid experience in managing large data projects. This role offers competitive compensation for your expertise.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• Strong experience designing and maintaining ML pipelines.
• Experience managing large data pipelines.

Responsibilities

• Design, deploy, and maintain machine learning pipelines.
• Apply statistical techniques to solve operational challenges.
• Analyze data to generate actionable insights.

Skills

Machine learning

Statistical techniques

Data analysis

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or related field

Tools

Machine learning frameworks

Data processing tools

Job description

Position: Software Engineer III

Type: Full time position

Compensation: $100 to $125 per hour

Location: Ann Arbor, MI, USA

Commitment: Ongoing full time role

Role Responsibilities

• Design, deploy, and maintain machine learning pipelines and large scale data systems.
• Apply machine learning and statistical techniques to solve operational challenges.
• Analyze and explore internal data to generate actionable insights.
• Collaborate with cross functional legal and technical teams.
• Ensure scalability, reliability, and performance of ML systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or related quantitative field.
• Strong experience designing and maintaining ML pipelines and systems.
• Demonstrable experience applying machine-learning algorithms to real-world problems.
• Experience managing large data pipelines.
• Strong analytical and problem-solving skills.

Application Process (Takes 20 Min)

• Upload resume
• Short assessment
• Submit form