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Machine Learning Defense Jobs in Philadelphia, PA

Machinery Silencing Technician - Internship

Philadelphia, PA ยท On-site

$13.75 - $18.25/hr

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Past exposure to machine learning and/or machinery silencing sytems * Working knowledge of ... We work with a broad range of government agencies in the defense, intelligence, and federal ...

... Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN ... Computer Science, Data Science, Information Sciences, Artificial Intelligence, or Machine Learning ...

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Machine Learning Defense information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

How much do machine learning defense jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning defense in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Philadelphia, PA?

For Machine Learning Defense jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Philadelphia, PA look for?

The top searched job categories for Machine Learning Defense jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Machine Learning Defense jobs?

Cities near Philadelphia, PA with the most Machine Learning Defense job openings:

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

ARKA Group

King Of Prussia, PA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

ARKA Group L.P. (โ€œARKAโ€) 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 Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.

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.ย  Ask us about the opportunity for flex scheduling if thatโ€™s of interest to you.ย 

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

  • Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
  • Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
  • Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
  • Build custom applications with LLM frameworks such as LangChain, DSPy
  • Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
  • Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
  • Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Interface with both internal and external leadership to communicate technical status

Required Qualifications:

  • BS in machine learning, computer science, mathematics, or related fields.
  • 10+ 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)
    • Using LLM Frameworks (e.g. LangChain, DSPy)
    • 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. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
  • Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications:

  • MS 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 Computer Vision domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as BERT
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with Gymnasium Gym, 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 Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
  • Experience with Linux
  • 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 implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

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.ย  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.