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Entrylevel Machine Learning Engineer Jobs in Davison, MI

Success in this role is measured by code quality, reliability, learning velocity, and the ability ... Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ...

Success in this role is measured by code quality, reliability, learning velocity, and the ability ... Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ...

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

A degree in an engineering field (e.g. computer, software, machine learning, intelligent systems, control systems, mechatronics, systems, mechanical engineering...) or a science field (e.g. physics ...

CNC Programmer

Auburn Hills, MI · On-site

$25 - $34.25/hr

Acme Manufacturing seeks a motivated CNC Machinist who enjoys learning and working in a fast paced ... Confers with engineers to resolve details or rejections. * Does not require direct supervision.

CNC Programmer

Auburn Hills, MI · On-site

$25 - $34.25/hr

Acme Manufacturing seeks a motivated CNC Machinist who enjoys learning and working in a fast paced ... Confers with engineers to resolve details or rejections. * Does not require direct supervision.

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Entrylevel Machine Learning Engineer information

See Davison, MI salary details

$28.5K

$116.6K

$175.3K

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

As of Jun 11, 2026, the average yearly pay for entrylevel machine learning engineer in Davison, MI is $116,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $140,400.00 per year, depending on experience, location, and employer.

Can I get into AI with no experience?

Entry-level machine learning engineer roles typically require some background in programming, mathematics, and data analysis, but many employers are open to candidates with foundational skills and a willingness to learn. Gaining experience through online courses, projects, and certifications in tools like Python and machine learning frameworks can help you qualify for such positions. Building a portfolio and understanding core concepts can improve your chances of entering the AI field without prior professional experience.

What engineers make $500,000?

Highly experienced senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with bonuses, stock options, or in high-cost-of-living areas. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or specialized expertise in high-demand technologies.

What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

Can I learn ML in 3 months?

As an entry-level machine learning engineer, gaining foundational knowledge in ML within three months is possible with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, developing deep expertise and practical experience typically requires longer, ongoing learning and project work.

Which 5 jobs will survive AI?

For entry-level machine learning engineers, roles that require complex problem-solving, creativity, and human judgment—such as data science, AI ethics, research scientist, AI product management, and specialized software development—are likely to persist despite AI advancements. These positions often involve designing, overseeing, and interpreting AI systems, which require deep domain knowledge and critical thinking that AI tools currently cannot fully replicate.
What cities near Davison, MI are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Davison, MI with the most Entrylevel Machine Learning Engineer job openings:
Agentic Engineer 2026

Other

Posted 4 days ago


Nexteer Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

334th of 417 rated machine equipment manufacturers


Job description

Agentic Engineer - Build, Experiment & Ship

About the Role:

Are you fascinated by the power of AI agents to transform how engineering teams work? Do you thrive in a high-velocity environment where you can build, test, and iterate on wild ideas in days rather than months?

We are looking for AI Agentic Development Engineers to join and build a new Applied AI team. In this role, you won't just be maintaining legacy systems, you will be the ultimate accelerator for our cross-functional engineering teams. Your mission is to design, develop, and deploy rapid prototypes of AI-driven tools and agentic workflows that automate complex tasks, eliminate friction, and radically optimize our engineering processes.

We operate on a philosophy of learning fast, failing fast, and delivering faster. If you are a bias-for-action developer who thinks outside the box and measures success by working code and measurable efficiency gains, we want you to be on our team. 

This is an individual contributor role and the selected candidate will have the opportunity to work a hybrid schedule.

Key Responsibilities

As an Agentic Engineer, you will be responsible to:

  • Ideate, architect, and build proof-of-concepts (PoCs) for AI-powered engineering tools, multi-agent systems, and automation scripts.
  • Partner closely with Product Engineering teams to deeply understand their workflows, identify bottlenecks, and embed AI solutions where they matter most.
  • Leverage LLMs, vector databases, and agentic frameworks (e.g., LangChain, CrewAI, AutoGen) to build autonomous workflows capable of reasoning, tool-use, and decision-making.
  • Refine and automate multi-disciplinary engineering pipelines within Product Engineering.
  • Run rapid experiments: hypothesis prototype deploy evaluate iterate
  • Embrace a fail-fast approach - short cycles, quick learning, and moving on with better information
  • Containerize and self-host solutions - taking full ownership from development through deployment
  • Evaluate tools and models through hands-on use, not benchmarks alone
  • Identify what scales and what doesn't based on real-world deployment behavior
  • Document validated patterns that contribute to the team's shared AI use case library
  • Think in terms of scale: how do I share my work, knowledge, and practices with others so they can join the mission

Qualifications

  • Minimum of 2+ years of experience in the following:
  • AI & Agentic Frameworks: Hands-on experience working with LLMs (OpenAI, Anthropic, open-source models) and orchestration frameworks like LangChain, LlamaIndex, CrewAI, or similar.
  • Programming Mastery: Proficiency in Python, TypeScript, or similar languages optimized for fast development and AI integration.
  • APIs & Integrations: Strong experience connecting disparate systems via REST APIs, webhooks, and SDKs (e.g., integrating AI agents with GitHub, Jira, Slack, or internal engineering tools).
  • Data Foundations: Familiarity with RAG, vector embeddings, vector databases (e.g., Pinecone, Chroma, Milvus), and prompt engineering techniques.
  • Workflow Automation Architecture: n8n, LangGraph, CrewAI, ChromaDB, and Docker.
  • Ability to make complex and analytical decisions and recommendations to management.
  • Strong problem solving/analytical skills, where problems are complex
  • Excellent oral & written communication skills
  • Strong interpersonal skills
  • Conflict resolution & risk escalation skills
  • Excellent leadership skills in a team environment
  • Experience with the product development process
  • Understanding of technical & commercial aspects

Additional Things We're Looking For

  • Navigate ambiguity to make decisions and deliver completed work, maintaining momentum even when conditions are not fully defined.
  • Take initiative to begin work with partial information, iterating and refining requirements as insights evolve.
  • You're naturally curious and self-directed - you build things because you want to understand how they work, not just because it's on a task list.
  • You've containerized, self-hosted, and deployed real projects. You've seen something work perfectly in a local environment and behave differently in production - and that experience has made you a better engineer.
  • The clearest signal: you have something running somewhere that isn't your own machine. You stay current with AI tools by using them, not just reading about them.
  • We're more interested in what you've built than what's on your resume. Share something you've deployed - a repository, a live URL, or a brief walkthrough. Tell us what didn't go as planned and what you took away from it.

 

Education Requirements

  • Bachelors degree in Computer Engineering or equivalent required
  • Masters Degree or certificate with a focus in AI and Agentic development preferred

 

Nexteer is an Equal Opportunity Employer Disabled/Minorities/Veterans/Women

Nexteer is an E-Verify employer. E-Verify is an internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employees to electronically verify the employment eligibility of their newly hired employees in the United States.

Accessibility for Applicants with Disabilities: If you need a reasonable accommodation for the online application process due to a disability, please email careers@nexteer.com. Please provide your contact information and details about the posted position of interest. Only inquiries regarding assistance for those who need an accommodation with the online application process due to a disability will be returned.

About Nexteer

Nexteer Automotive is a global leader in advanced steering and motion control systems, enabling intuitive, safe, and comfortable mobility for drivers around the world. Our innovative product portfolio includes Electric Power Steering (EPS), Steer-by-Wire, Driveline, and Advanced Driver Assistance Systems (ADAS) technologies that support electrification, software-defined vehicles, and autonomous driving.

With approximately 13,000 employees and operations in more than 20 manufacturing plants and multiple technical centers globally, Nexteer partners with nearly every major global and regional automotive manufacturer.

Employment Agencies 

Employment agencies are an important component of our talent acquisition strategy, and we value the partnerships we have built with our preferred vendors. We will not accept unsolicited resumes from employment agencies for any employment opportunity. All resumes submitted by search firms to any employee at Nexteer Automotive or directly to hiring managers in any form without a signed Nexteer Automotive Agency Agreement on file, and search engagement for that position, will be deemed unsolicited in nature, and no fee will be paid in the event the candidate is hired as a result of the referral or through other means. Additionally, any resume submitted without a contract in place will be considered Nexteer Automotive property and no fees will be paid to the agency if the candidate is hired. 

Please note, agency agreements will only be valid if in writing and signed by a member of Nexteer's Human Resources team.  No other Nexteer employee is authorized to bind Nexteer to any agreement regarding the placement of candidates by an agency. 


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