1

Senior Algorithm Engineer Jobs in Utica, MI (NOW HIRING)

Senior Systems Engineer

Farmington, MI · On-site

$102.80K - $140.70K/yr

We have an opening for a Senior Systems Engineer who will work with the Pilot team as we help one ... Controls algorithm design experience using Mathworks and/or C++. * Experience with automotive ...

Senior Software Engineer ( Gen AI) Location : Coppell, TX - Hybrid role - InOffice presence ... Document code, algorithms, and methodologies for reproducibility and knowledge sharing. * Stay ...

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103.30K - $141.80K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... algorithm scalability and deployment based on agile business priorities and initiatives • ...

Senior AI Engineer - SFL Scientific

Detroit, MI

$103.50K - $142.10K/yr

... algorithm scalability and deployment based on agile business priorities and initiatives ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

next page

Showing results 1-20

Senior Algorithm Engineer information

See Utica, MI salary details

$54.3K

$115.5K

$167.4K

How much do senior algorithm engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior algorithm engineer in Utica, MI is $115,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $130,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Algorithm Engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

Infographic showing various Senior Algorithm Engineer job openings in Utica, MI as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $115,457 per year, or $55.5 per hour.
Senior AI Engineer with GCP (W2 Position)

Senior AI Engineer with GCP (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

$97.80K - $132.80K/yr

Other

Posted 19 days ago


Job description

We have a job opportunity of a Role Senior AI Engineer with GCP with given job description on #W2. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role: Senior AI Engineer with GCP (W2 Position)

Location: Dearborn, MI (Hybrid)(Local People Only)

Duration: 12+ Months

Experience: 7+ Years

Note : Please share resumes only Local to Michigan and Interview Mode : F2F

Skills Required:

Artificial Intelligence & Expert Systems

Skills Preferred:

Python, GCP, GCP Cloud Run

Experience Required:

Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:

  • Experience in the design, build, and implementation of AI-powered applications and systems.
  • Experience in the integration of AI models into existing software and automating processes.
  • Knowledge of Python and GCP a plus.
  • Hybrid Role 4 days a week onsite Design, build, and implement AI-powered applications and systems for Policy/OGC Knowledge Management (document management, contract management, matter management, e-billing, etc.)."

Key Responsibilities:

  • Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
  • Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
  • Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
  • Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com