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Ml Model Fine Tuning Jobs in Michigan (NOW HIRING)

KLA Corporation

Forward Deployed Engineer

Ann Arbor, MI · On-site

Strong proficiency in Python and experience with ML frameworks and model fine-tuning techniques * Hands-on experience with inference optimization and model serving infrastructure, including on-prem ...

Versigent

AI Build Engineer Manager

Troy, MI · On-site

AI/ML: Strong hands-on experience integrating LLMs, building RAG pipelines, and working with vector ... Hands on exposure to model fine tuning techniques (LoRA / QLoRA) and domain specialization.

Versigent

AI Build Engineer Manager

Troy, MI · On-site

AI/ML: Strong hands-on experience integrating LLMs, building RAG pipelines, and working with vector ... Hands on exposure to model fine tuning techniques (LoRA / QLoRA) and domain specialization.

Cisco

Applied AI Scientist

Ann Arbor, MI

Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ... Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data ...

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Ml Model Fine Tuning information

What is ML model fine-tuning?

ML model fine-tuning is the process of taking a pre-trained machine learning model and making small adjustments to its parameters using new data relevant to your specific task. This approach allows you to leverage the general knowledge the model has already learned, while adapting it to perform better on your particular dataset or problem. Fine-tuning is common in fields like natural language processing and computer vision, as it saves time and resources compared to training a model from scratch. The process typically involves retraining the last few layers of the model or using a lower learning rate for the entire model.

What are some common challenges faced when fine-tuning machine learning models in a production environment?

One common challenge when fine-tuning ML models in production is ensuring that the updated models generalize well to new, unseen data without overfitting to recent trends or noise. Additionally, coordinating with data engineers and software developers is crucial to maintain data pipelines and model deployment workflows. Managing computational resources and keeping track of model versions for reproducibility can also be complex, especially in fast-paced or large-scale environments. Regular communication with stakeholders is important to align model updates with business objectives and to ensure the smooth integration of improvements.

What are the key skills and qualifications needed to thrive as an ML model fine tuning specialist, and why are they important?

To thrive as an ML Model Fine Tuning Specialist, you need a solid background in machine learning, statistics, programming (often Python), and experience with model training and evaluation. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like Hugging Face Transformers, along with experience in managing GPUs and cloud platforms, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you understand project requirements and collaborate with data scientists and engineers. These skills are crucial for optimizing model performance, ensuring accurate results, and delivering robust AI solutions tailored to specific business needs.

What is the difference between Ml Model Fine Tuning vs Data Scientist?

AspectMl Model Fine TuningData Scientist
CredentialsKnowledge of machine learning frameworks, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentFocus on model optimization, coding, and experimentationData analysis, modeling, and interpretation
Industry UsageAI/ML development teams, tech companiesResearch, analytics, business intelligence

While Ml Model Fine Tuning involves adjusting pre-trained models to improve performance, Data Scientists analyze data, develop models, and interpret results. Fine tuning is a specialized task within the broader scope of a Data Scientist's role, often requiring similar technical skills but focusing more on model optimization.

What are popular job titles related to Ml Model Fine Tuning jobs in Michigan?

For Ml Model Fine Tuning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ml Model Fine Tuning jobs in Michigan look for?

The top searched job categories for Ml Model Fine Tuning jobs in Michigan are:

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Cities in Michigan with the most Ml Model Fine Tuning job openings:

Ml Model Fine Tuning jobs near you

Forward Deployed Engineer

KLA Corporation

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 hours ago

Job description

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.
Job Description/Preferred Qualifications
This role sits at the intersection of KLA's most advanced AI work and the rest of the company. Based in Ann Arbor, you are the bridge between what our AI engineering team builds and what KLA's business units need - identifying which capabilities are ready to deploy and building the infrastructure that every future AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization. If you want to build foundational AI infrastructure at a company where the data is proprietary, the problems are hard, and the impact is measurable - this is the role.
This role sits at the intersection of KLA's most advanced AI work and the rest of the company. Based in Ann Arbor, you are the bridge between what our AI engineering team builds and what KLA's business units need - identifying which capabilities are ready to deploy and building the infrastructure that every future AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization.
Key Responsibilities:
  • Build and enhance AI products and tools for the business, owning product quality and reliability end to end
  • Deploy AI capabilities into KLA's teams, serving as the bridge between R&D and production use
  • Own the internal AI infrastructure - the foundational layer that removes friction, compounds organizational learning, and scales without adding headcount
  • Architect and maintain reusable infrastructure: agent scaffolding, eval frameworks, and integration patterns
  • Design and build persistent context and memory systems that make AI environments personalized and progressively more useful over time
  • Build skill and plugin distribution systems that let one person's breakthrough become everyone's baseline
  • Design and operate on-prem inference infrastructure for deployments where data cannot leave the network
  • Fine-tune or adapt foundation models on proprietary data where it creates meaningful capability uplift
  • Build CI/CD pipelines for agents: testing, evaluation, versioning, and rollback
  • Set technical standards and mentor junior engineers; lead design reviews and define golden paths for development
  • Track the AI frontier at a deep technical level - not just what shipped but how it works and what it changes about what's possible

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or related field; Master's preferred
  • 3+ years of experience building and operating ML/AI systems in production, including ownership of production-grade infrastructure
  • Strong proficiency in Python and experience with ML frameworks and model fine-tuning techniques
  • Hands-on experience with inference optimization and model serving infrastructure, including on-prem deployment patterns
  • Experience building internal tools, platform infrastructure, or developer experience layers that other engineers or non-technical users depend on
  • Experience designing plugin architectures, marketplace systems, or extensible platform components that scale adoption
  • Experience building persistent memory, context management, or personalization systems for AI products
  • Working knowledge of CI/CD, containerization, orchestration, and Infrastructure-as-Code
  • Experience designing evaluation harnesses and automated testing for AI systems
  • Strong understanding of data governance and security - comfortable operating within tiered data handling policies
  • Owns outcomes, not tasks - you identify what needs to happen and drive it without being managed
  • Technical leadership experience: mentoring engineers, leading design reviews, setting standards
  • Prior experience in semiconductor, manufacturing, or scientific/industrial ML is a plus

Minimum Qualifications
  • Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Base Pay Range: $111,900.00 - $190,200.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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