Posted today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
Unspecified
Full Scope Polygraph
IT - Software
Austin, TX (On-Site/Office)•Arlington, VA (On-Site/Office)
About Us:
At webAI we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business.
About the Role:
We are seeking Machine Learning Engineers to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation.
You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments.
Responsibilities:
-Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
-Develop, fine tune, and optimize models using PyTorch, TensorFlow, or Hugging Face Transformers, adapting both open and closed source models.
-Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
-Engineer systems for dynamic model adaptation using low rank adaptation (LoRA), parameter efficient fine tuning (PEFT), and on device inference strategies.
-Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
-Work with multi modal AI systems across computer vision, audio, and natural language domains.
-Employ synthetic data generation and digital twinning techniques (GANs, diffusion models, or simulation based) to create robust datasets for edge cases.
-Develop GPU accelerated and low level system code in C, C++, or Rust for performance critical operations.
-Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions.
-Collaborate cross functionally with Infrastructure, MLOps, and Security teams to deliver secure, compliant, and high performance AI solutions for government partners.
Qualifications:
-Active TS/SCI w/poly clearance
-5+ years of experience in applied AI, ML engineering, or production AI systems.
-Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
-Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
-Expertise in model compression and optimization (quantization, pruning, distillation).
-Strong understanding of GPU computing, CUDA, and performance profiling.
-Experience building RAG pipelines and integrating vector databases (e.g., FAISS, Milvus, Pinecone).
-Familiarity with multi modal models and synthetic data generation methods.
-Low level programming experience in C, C++, or Rust with understanding of computer memory and concurrency.
-Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments.
Preferred Skills
-Experience with edge AI, federated learning, or offline inference systems.
-Familiarity with distributed training frameworks such as DeepSpeed or Ray.
-Understanding of AI governance and compliance frameworks relevant to public sector deployments.
-Experience integrating models into large scale distributed systems or microservice architectures.
-Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.
Why webAI?
At webAI we do our best to live out our core values we have put in place as the foundation on
which we operate as a team. We are looking for people who are interested in personifying the
same:
-Truth: that which is true or in accordance with fact or reality; it’s not always easy, it’s not always pleasant, but we try to live by what reality is so we can accomplish something really cool
-Ownership: the act, state or right of possessing something; we want you to fully own your responsibilities in this company, and continue to help define what fits in that purview and how we can help you be your best
-Tenacity: persistent determination; we are really fired up about what we are trying to do here, and would love to have those who are fired up about what they do, to join us. If you really dig our mission, we certainly don’t mind that cherry on top
-Humility: the quality of having a modest view of one’s value or importance; do we hope webAI can change the world? Certainly, but we know the only way to accomplish that is to not worry so much about the company’s accomplishments or status, but instead put all of that importance on building a world class team and treating them as such. We believe that’s the ultimate formula for success
Benefits:
-Comprehensive health, dental, and vision benefits package
-Equity options so you share in our growth
-401k Match (US-based only)
-$200/mos Health and Wellness Stipend
-$400/year Continuing Education Credit
-$500/year Function Health subscription (US-based only)
-Free parking, for in-office employees
-Unlimited Approved PTO
-Parental Leave for Eligible Employees
-Supplemental Life Insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or
applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or
expression, genetic information, marital status, medical condition, national origin, physical or
mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual
orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
We adhere to these principles in all aspects of employment, including recruitment, hiring,
training, compensation, promotion, benefits, social and recreational programs, and discipline. In
addition, it is the policy of webAI to provide reasonable accommodation to qualified employees
who have protected disabilities to the extent required by applicable laws, regulations and
ordinances where a particular employee works.
At webAI we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business.
About the Role:
We are seeking Machine Learning Engineers to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation.
You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments.
Responsibilities:
-Productionize AI models from research prototypes into scalable, deployable systems used in real world applications.
-Develop, fine tune, and optimize models using PyTorch, TensorFlow, or Hugging Face Transformers, adapting both open and closed source models.
-Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration.
-Engineer systems for dynamic model adaptation using low rank adaptation (LoRA), parameter efficient fine tuning (PEFT), and on device inference strategies.
-Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval.
-Work with multi modal AI systems across computer vision, audio, and natural language domains.
-Employ synthetic data generation and digital twinning techniques (GANs, diffusion models, or simulation based) to create robust datasets for edge cases.
-Develop GPU accelerated and low level system code in C, C++, or Rust for performance critical operations.
-Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions.
-Collaborate cross functionally with Infrastructure, MLOps, and Security teams to deliver secure, compliant, and high performance AI solutions for government partners.
Qualifications:
-Active TS/SCI w/poly clearance
-5+ years of experience in applied AI, ML engineering, or production AI systems.
-Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
-Proven experience deploying AI models across cloud, edge, and mobile hardware environments.
-Expertise in model compression and optimization (quantization, pruning, distillation).
-Strong understanding of GPU computing, CUDA, and performance profiling.
-Experience building RAG pipelines and integrating vector databases (e.g., FAISS, Milvus, Pinecone).
-Familiarity with multi modal models and synthetic data generation methods.
-Low level programming experience in C, C++, or Rust with understanding of computer memory and concurrency.
-Strong algorithmic and problem solving skills, especially in distributed or constrained compute environments.
Preferred Skills
-Experience with edge AI, federated learning, or offline inference systems.
-Familiarity with distributed training frameworks such as DeepSpeed or Ray.
-Understanding of AI governance and compliance frameworks relevant to public sector deployments.
-Experience integrating models into large scale distributed systems or microservice architectures.
-Excellent communication and technical documentation skills for collaboration across multi disciplinary teams.
Why webAI?
At webAI we do our best to live out our core values we have put in place as the foundation on
which we operate as a team. We are looking for people who are interested in personifying the
same:
-Truth: that which is true or in accordance with fact or reality; it’s not always easy, it’s not always pleasant, but we try to live by what reality is so we can accomplish something really cool
-Ownership: the act, state or right of possessing something; we want you to fully own your responsibilities in this company, and continue to help define what fits in that purview and how we can help you be your best
-Tenacity: persistent determination; we are really fired up about what we are trying to do here, and would love to have those who are fired up about what they do, to join us. If you really dig our mission, we certainly don’t mind that cherry on top
-Humility: the quality of having a modest view of one’s value or importance; do we hope webAI can change the world? Certainly, but we know the only way to accomplish that is to not worry so much about the company’s accomplishments or status, but instead put all of that importance on building a world class team and treating them as such. We believe that’s the ultimate formula for success
Benefits:
-Comprehensive health, dental, and vision benefits package
-Equity options so you share in our growth
-401k Match (US-based only)
-$200/mos Health and Wellness Stipend
-$400/year Continuing Education Credit
-$500/year Function Health subscription (US-based only)
-Free parking, for in-office employees
-Unlimited Approved PTO
-Parental Leave for Eligible Employees
-Supplemental Life Insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or
applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or
expression, genetic information, marital status, medical condition, national origin, physical or
mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual
orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
We adhere to these principles in all aspects of employment, including recruitment, hiring,
training, compensation, promotion, benefits, social and recreational programs, and discipline. In
addition, it is the policy of webAI to provide reasonable accommodation to qualified employees
who have protected disabilities to the extent required by applicable laws, regulations and
ordinances where a particular employee works.
group id: 91164647
