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Language Model Engineer Jobs (NOW HIRING)

About the role As a Research Engineer on our team you will work end to end across the whole model ... Strong candidates should have familiarity with elements of language model training, evaluation, and ...

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Language Model Engineer information

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How much do language model engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for language model engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What is a language model engineer?

Language Model Engineers are professionals who design, develop, and optimize machine learning models that process and generate human language. They work with large datasets and advanced algorithms to create models capable of understanding, interpreting, and producing text in natural language. Their role often involves training models, fine-tuning them for specific tasks, evaluating their performance, and deploying them in real-world applications such as chatbots, translation services, and AI assistants. These engineers typically have strong backgrounds in computer science, natural language processing (NLP), and deep learning.

What are the key skills and qualifications needed to thrive as a language model engineer?

To thrive as a Language Model Engineer, you need a solid background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with deep learning frameworks. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as knowledge of distributed computing systems, is essential. Strong problem-solving skills, collaboration, and effective communication help you work efficiently within multidisciplinary teams and tackle complex technical challenges. These combined abilities are crucial for developing, optimizing, and deploying advanced language models that drive innovation in AI-driven applications.

What are some common challenges faced by language model engineers when deploying large-scale models to production?

Language Model Engineers often encounter challenges related to scalability, latency, and resource optimization when deploying large-scale models. Ensuring models run efficiently in production may require techniques like model quantization, distillation, or partitioning to balance performance and computational cost. Additionally, maintaining model accuracy while addressing issues such as data drift and ensuring privacy compliance are ongoing concerns. Effective collaboration with infrastructure teams and continuous monitoring are crucial for long-term model stability.

What is the difference between Language Model Engineer vs Data Scientist?

AspectLanguage Model EngineerData Scientist
Required CredentialsComputer Science degree, ML certificationsStatistics, Data Analysis degrees
Work EnvironmentAI/ML teams, R&D labsData analysis teams, business units
Industry UsageDeveloping NLP models, AI productsData analysis, predictive modeling
Common Search/ComparisonFocus on language models, NLPFocus on data insights, analytics

While both roles involve working with data and algorithms, Language Model Engineers specialize in developing and optimizing NLP models like chatbots and language understanding systems. Data Scientists analyze data to extract insights and build predictive models. The roles often collaborate but differ in focus: one on model development, the other on data analysis.

What cities are hiring for Language Model Engineer jobs?

Cities with the most Language Model Engineer job openings:

What states have the most Language Model Engineer jobs?

States with the most job openings for Language Model Engineer jobs include:

What are popular job titles related to Language Model Engineer jobs?

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

Infographic showing various Language Model Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

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

King Of Prussia, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

The Staff AI/ML Engineer (LLMs) will lead the development of Agentic AI capabilities and other LLM based capabilities for a multitude of mission management applications.

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

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

Required Qualifications:

  • 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 Qualifications:

  • 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

Location: King of Prussia, PA

Situated less than an hour outside of Philadelphia and hosting the largest mall on the east coast, King of Prussia offers the urban feel sought in the city, while also giving opportunities to experience the beauty and history found only in Pennsylvania.

What We Offer:

  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:

This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

ITC & Security Clearance Requirements:

This position requires an active TS/SCI U.S. Government Security Clearance.

Visa Restrictions:

No visa sponsorship is available for this position.

Pre-employment Screenings:

Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.