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Algorithm Engineer Jobs in Michigan (NOW HIRING)

Our Next Energy

Engineer - BMS Controls

Novi, MI · On-site

$78K - $101K/yr

Develop BMS controls and diagnostic algorithms to achieve desired functionality, robustness, and ... Perform all engineering tasks in defined lifecycle processes, methods, and practices, captured and ...

Our Next Energy Inc

Engineer - BMS Controls

Novi, MI

$78K - $101K/yr

Develop BMS controls and diagnostic algorithms to achieve desired functionality, robustness, and ... Perform all engineering tasks in defined lifecycle processes, methods, and practices, captured and ...

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All JobsAlgorithm Engineer JobsAlgorithm Engineer Jobs in Michigan

Algorithm Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
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Algorithm Engineer jobs near you
Project Engineer

Project Engineer

Pi Square Technologies LLC

Farmington Hills, MI • On-site

Full-time

Posted 19 days ago

Job description

Design and implement real-time signal processing algorithms for State of Charge (SoC) estimation using Extended Kalman Filters (EKF) in C/C++, improving battery state estimation accuracy.
Optimize machine learning-based control algorithms to minimize ECU memory footprint, enabling high-performance logic deployment on cost-constrained automotive hardware.
Collaborate with hardware engineering teams to integrate complex BMS firmware logic with high-voltage power electronics and battery cell monitoring systems.
Conducte advanced Hardware-in-the-Loop (HIL) testing of BMS firmware to identify edge-case diagnostic faults and eliminate Single Points of Failure (SPOF) in alignment with safety goals.
Primary worksite is Farmington Hills MI, but relocation possible.
Req: Master degree in Mechanical Engineering or Engineering Science or related with 5 months experience as Project Engineer or Test Engineer or Robotics Engineer or Control Engineer or Intern.

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