ZipRecruiter

Log In

1

Machine Learning Engineer Two Jobs in Detroit, MI

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an ... In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development Experience ...

Indeed

Senior Machine Learning Engineer

Detroit, MI

$95K - $131K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our ... 2 - United States of America 154,000 - 230,000 USD per year Tier 3 - United States of America 169 ...

V2Soft

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

They are seeking a Machine Learning Engineer to design and implement AI solutions, optimize systems for performance and scalability, and work with enterprise-scale data environments. Responsibilities ...

General Motors

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222K - $227K/yr

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics Engineering or a related field and Two (2) years of experience as a Software Engineer, Machine Learning ...

General Motors

Senior Machine Learning Engineer

Warren, MI · On-site

$222K - $227K/yr

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics Engineering or a related field and Two (2) years of experience as a Software Engineer, Machine Learning ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Two JobsMachine Learning Engineer Two Jobs in Detroit, MI

Machine Learning Engineer Two information

See Detroit, MI salary details

$31.2K

$127.5K

$191.6K

How much do machine learning engineer two jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning engineer two in Detroit, MI is $127,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $153,400.00 per year, depending on experience, location, and employer.

Can you work for two engineering companies at the same time?

As a Machine Learning Engineer, working for two companies simultaneously is possible but depends on employment agreements, non-compete clauses, and company policies. Many employers require exclusivity or limit outside work to prevent conflicts of interest, especially if projects overlap or involve proprietary information. It is important to review employment contracts and disclose side work to ensure compliance.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine AI models and algorithms. Other roles that are expected to persist include healthcare professionals, skilled tradespeople, educators, and creative roles such as writers and designers, because these jobs require human judgment, empathy, or manual skills that are difficult for AI to replicate. Success in these fields often depends on specialized knowledge, critical thinking, and adaptability to new tools and technologies.

Will AI take over machine learning engineer jobs?

Machine Learning Engineers design and develop AI systems, and while AI automation can handle certain tasks, the role requires expertise in model development, data analysis, and problem-solving that AI cannot fully replace. Human oversight, creativity, and understanding of domain-specific challenges remain essential in the field.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
What are popular job titles related to Machine Learning Engineer Two jobs in Detroit, MI? For Machine Learning Engineer Two jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Two jobs in Detroit, MI look for? The top searched job categories for Machine Learning Engineer Two jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Machine Learning Engineer Two jobs? Cities near Detroit, MI with the most Machine Learning Engineer Two job openings:
Machine Learning Engineer Two jobs near you

Machine Learning Engineer (09235)

Talent Management Plus, Inc.

Detroit, MI

$113K - $136K/yr

Other

Posted 23 days ago

Job description

Position: Machine Learning Engineer (09235)
Location: Detroit, MI
Duration: 6 months+
Summary:
The Data Science and Analytics Center of Excellence (COE) is responsible for leading the creation and development of the overall strategy and direction of data science and advanced analytics - including ensuring continuity and seamless extension of existing programs, the development of a short- and long-term vision and roadmap, and defining and institutionalizing the role that data and analytics play throughout the organization as the fuel that drives and shapes client's priorities and serves as an accelerant for client's progress.
Description:
The ML Engineer is a key player in the Integrated Tech Programs & Strategies team. This role will be responsible for data engineering, data science Model deployment, testing and management for the end-to-end ML and data pipeline including data products. This role will leverage Client's AI labs environment to enable the delivery in a common data lake and products.
Responsibilities:
  • Responsible for building and managing end-to-end data pipelines and operations from ingestion and integration through delivery for the data science prototypes and data products.
  • Adept at queries, report writing and presenting findings, analyze large complex datasets to extract insights and decide on the appropriate technique.
  • Understand and use data and ML fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
  • Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production.
  • Provide support to engineers and product managers in implementing machine learning in the product.
  • Drive the design, building and launching of new data models and ML/Data pipelines in production.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Consulting with managers, Product owners to determine and refine machine learning objectives.
  • Transforming data science prototypes and applying appropriate ML tools and technologies.
  • Contribute and support the development of the overall data science and machine learning strategy and roadmap.

Required Skills:
  • Bachelor's degree in computer science, or equivalent IT knowledge/experience.
  • 2+ years of relevant work experience in Data Analysis, Data Engineer, Data Science & Data Integration.
  • Must have strong data infrastructure, data engineering and Machine Learning skills
  • Must have a proven track record of leading and scaling data pipelines, ML Model deployments in a cloud/on prem/big data environment
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks).
  • Programming languages: SQL, Spark, Python, R, Jupyter Notebooks, Java, Scala, C++
  • Data Exploration and ETL: Alteryx, Talend, H2O, Informatica, Data Stage, Azure Data explorer, Azure Data Factory.
  • Data Warehouse Solutions: Redshift, Snowflake, Postgres, Data Lake.
  • Big Data technologies: Azure, AWS, Hadoop, Spark, Hive, Kafka, Flume, NoSQL stores (HBase, Cassandra, DynamoDB, MongoDB).
  • Cloud storage: S3, GCS, ADLS, Blob.
  • Machine Learning: Cloudera Data Science Workbench, Azure ML, Amazon ML, Google AutoML, Vertex AI.
  • Data Visualization Solutions: MS Power BI, Looker, Tableau, Azure Streaming Analytics, Data Lake Analytics, Azure Time Series Insights, Azure Synapse Analytics.
  • CI/CD and Code Management: Git, Maven, Docker, Jenkins, Azure Dev Ops.
  • Experience working with Data engineering, Data science, ETL teams and managing implementing projects that utilize big data, advanced analytics, and machine learning technologies.
  • Hands-on experience in building data and ML pipelines from variety of sources such as data warehouses and in-memory OLAP models, as well as experience in NoSQL/cloud.
  • Strong understanding of data, ML Models, Big Data, Relational databases, streaming and batch data processing.
  • Knowledge of machine learning evaluation metrics and best practice.
  • Strong experience building end-to-end data view with focus on integration.

Preferred Skills:
  • Experience working with on-prem and cloud-based data warehouses
  • Experience with cloud-based personalization and machine-learning applications.
  • Experience working for consumer or business-facing digital brands.

Apply