ZipRecruiter

Log In

1

Language Model Jobs in Michigan (NOW HIRING)

Deloitte

Customer Deployment Specialist

Detroit, MI

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Wilson Elser - Attorneys

Staff Attorney

Detroit, MI · Hybrid

Experience using AI tools and large language models to enhance legal workflows is a plus. * Personal injury litigation experience is preferred. Why This Role? This is an opportunity to move beyond ...

next page

Showing results 1-20

All JobsLanguage Model JobsLanguage Model Jobs in Michigan

Language Model information

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.

What are popular job titles related to Language Model jobs in Michigan?

For Language Model jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Language Model jobs in Michigan look for?

The top searched job categories for Language Model jobs in Michigan are:

What cities in Michigan are hiring for Language Model jobs?

Cities in Michigan with the most Language Model job openings:

Language Model jobs near you
Infographic showing various Language Model job openings in Michigan as of June 2026, with employment types broken down into 70% Full Time, 16% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Staff AI/ML Engineer (Large Language Model) (TS/SCI) {S}

Danbury Mission Technologies

Lewiston, MI • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. The Staff AI/ML Engineer will lead the development of Agentic AI capabilities and other LLM based capabilities for mission management applications.
Responsibilities:
• Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Lead and mentor a multidisciplinary team delivering advanced AI/ML solutions
• Apply LLMs to complex domain-specific problems and operational workflows
• Adapt and fine-tune foundation models for specialized use cases
• Design and implement retrieval-augmented generation (RAG) systems and semantic search architectures
• Build production-grade LLM applications and agentic systems
• Deploy scalable AI solutions across cloud, on-prem, and hybrid environments
• Analyze large, multi-modal datasets to extract meaningful features and actionable insights
• Translate emerging research into applied, mission-relevant capabilities
• Communicate technical strategy, status, and risks to internal and external leadership
Qualifications:
Required:
• B.S. in machine learning, computer science, mathematics, or related fields
• 8+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following: Fine-tuning foundational models, Steering Techniques (e.g Sparse auto encoders, representation tuning), Building adapters to use foundational models (e.g. PEFT, llama factory), Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.), Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone, pgvector), Using LLM Frameworks (e.g. LangChain, DSPy, Microsoft Agent Framework), Using AI APIs ( e.g AWS Bedrock, OpenAI), Using LLM deployment frameworks (eg llama.cpp, vllm, tgi), Developing UIs with ReAct
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. NumPy, Pandas, Polars, scikit-learn, etc.)
• Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• M.S. or PhD in machine learning, computer science, mathematics, or related fields
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following: Large Language Models and experience identifying ways to incorporate them into new domains and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Natural Language Processing algorithms such as BERT
• Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Linux
• Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc.
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience shaping and writing proposals
• Adjudicated Counter Intelligence or Full Scope Polygraph
Company:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.

Apply