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Salaried Deep Learning Jobs in Michigan (NOW HIRING)

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... networks and deep learning methods for advanced AI applications - Managing data quality and ... The salary range for this position is: $50,500 - $112,500. Actual compensation within the range ...

Pwc

AI Engineer

Grand Rapids, MI

$50K - $112K/yr

... networks and deep learning methods for advanced AI applications - Managing data quality and ... The salary range for this position is: $50,500 - $112,500. Actual compensation within the range ...

Pwc

CTIO - AI Engineer- Senior Manager

Detroit, MI · On-site

$91K - $321K/yr

... learning and deep learning techniques effectively - Excelling in complex data analysis and ... The salary range for this position is: $91,000 - $321,500. Actual compensation within the range ...

New

Pwc

CTIO - AI Engineer- Senior Manager

Grand Rapids, MI · On-site

$91K - $321K/yr

... learning and deep learning techniques effectively - Excelling in complex data analysis and ... The salary range for this position is: $91,000 - $321,500. Actual compensation within the range ...

New

Stefanini

Microsoft Dynamics 365 Developer

Dearborn, MI · On-site

... deep learning, generative AI, natural language processing, and more. The ideal candidate will ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

Rule 5 Hire

MI · On-site

$81K - $108K/yr

... learning and improvement. Candidate must also have interpersonal and excellent oral/written ... Salary and benefits commensurate with experience. Qualifications: * Project Manage Large Heavy ...

Rule 5 Hire

MI

$81K - $108K/yr

... learning and improvement. Candidate must also have interpersonal and excellent oral/written ... Salary and benefits commensurate with experience. Qualifications: * Project Manage Large Heavy ...

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Showing results 21-40

All JobsSalaried Deep Learning JobsSalaried Deep Learning Jobs in Michigan

Salaried Deep Learning information

What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

What are the most commonly searched types of Deep Learning jobs in Michigan?

The most popular types of Deep Learning jobs in Michigan are:

What are popular job titles related to Salaried Deep Learning jobs in Michigan?

For Salaried Deep Learning jobs in Michigan, the most frequently searched job titles are:

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The top searched job categories for Salaried Deep Learning jobs in Michigan are:

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Cities in Michigan with the most Salaried Deep Learning job openings:

Salaried Deep Learning jobs near you

Workday Contractor - Recruiting / Learning Modules

Altera

Three Rivers, MI • On-site, Remote

Full-time

Re-posted 23 hours ago

Job description

Job Details:Job Description:

Altera is looking for a high-impact Workday Recruiting & Learning Consultant to help transform how we attract, hire, develop, and grow talent globally. This is an exciting opportunity to partner directly with Talent Acquisition, HR, Learning & Development, and HRIS leadership to drive meaningful improvements in recruiter productivity, hiring manager experience, employee development, automation, analytics, and workforce operations.

If you enjoy solving complex problems, challenging the status quo, and building scalable talent solutions, we'd love to talk with you.

What You'll Do

  • Assess and optimize Workday Recruiting and Learning processes and workflows.

  • Increase recruiter and HR team efficiency by reducing manual, administrative work.

  • Streamline requisition approvals, candidate movement, recruiting operations, and learning administration processes.

  • Improve interview scheduling, onboarding, learning assignment, and overall employee experience.

  • Build impactful dashboards and reporting around key metrics such as time-to-fill, recruiter capacity, offer acceptance rates, learning completion rates, compliance training, and employee development participation.

  • Identify automation and AI opportunities to improve recruiting, onboarding, and learning outcomes.

  • Partner with TA, Learning & Development, HRIS, HR Operations, and business leaders to implement best practices.

  • Optimize learning catalogs, enrollment workflows, certifications, curriculum management, and learner experiences.

  • Enhance the integration between Recruiting, Onboarding, Learning, and broader Talent Management processes.

  • Develop a roadmap for long-term Recruiting and Learning process excellence and Workday optimization.

What We're Looking For

  • Strong expertise in Workday Recruiting and/or Workday Learning.

  • Experience optimizing large-scale recruiting, learning, or talent management operations.

  • Deep understanding of recruiting workflows, learning administration, reporting, and business processes.

  • Proven ability to drive process improvement, automation, system adoption, and user engagement.

  • Strong stakeholder management and consulting skills.

  • Experience supporting global or fast-growing organizations is a plus.

  • Knowledge of talent development, compliance training, onboarding, and employee growth programs is highly desirable.

Success in This Role

You will leave Altera with:

  • Faster and more efficient recruiting processes.

  • Increased recruiter and HR team capacity.

  • Improved learning administration and employee development experiences.

  • Better reporting and operational visibility across recruiting and learning.

  • Higher adoption of Workday Recruiting and Learning capabilities.

  • Improved hiring manager, employee, and candidate experiences.

  • A scalable, best-in-class Workday Recruiting and Learning environment.

Salary Range

Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$91.8K- $132.9KUSD

We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations.

Qualifications:

Required

  • 5+ years of Workday Recruiting / Learning Modules experience.

  • Proven success optimizing recruiting processes, workflows, and business processes.

  • Strong expertise in Workday reporting, dashboards, and analytics.

  • Experience driving automation, process improvements, and operational efficiencies.

  • Strong stakeholder management and project execution skills.

  • Ability to identify root causes and implement scalable solutions.

Preferred

  • Workday Pro Recruiting / Learning Certification.

  • Experience supporting global recruiting organizations.

  • Experience with GEM, LinkedIn Recruiter, or other recruiting technologies.

  • Familiarity with AI, automation, and Talent Acquisition best practices.

  • Technology or semiconductor industry experience.

Ideal Candidate

  • Results-driven problem solver.

  • Passionate about improving recruiter productivity and hiring manager experience.

  • Collaborative consultant who can quickly assess challenges and deliver impactful solutions.

Job Type: Contract Employee (Fixed Term)Shift:Shift 1 (United States of America)Primary Location:San Jose, California, United States (Remote)Additional Locations:Arizona, United States (Remote), Austin, Texas, United States (Remote), Georgia, United States (Remote), New Jersey, United States (Remote), Oregon, United States (Remote)Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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