Torch Technologies, Inc. Logo

Torch Technologies, Inc.

Artificial Intelligence and Machine Learning Scientist

Posted 4 Days Ago
Be an Early Applicant
In-Office
Colorado Springs, CO, USA
130K-138K Annually
Senior level
In-Office
Colorado Springs, CO, USA
130K-138K Annually
Senior level
Research and develop AI/ML methods for curating, labeling, typing, and fusing OPIR data. Build out-of-distribution detection pipelines, automated and human-in-the-loop labeling workflows, and data quality and provenance processes. Develop maintainable software, integrate components, test and debug systems, support HEARTH users, and collaborate with government and contractor teams.
The summary above was generated by AI

Torch Technologies

Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation’s top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: “Lighting the Pathway of Freedom”. And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!


Torch Technologies is seeking a Artificial Intelligence and Machine Learning Scientist to join a team researching, creating, and refining innovative approaches to data curation, labeling, and fusion of OPIR data. This position supports the Advanced VizLab Division.

 

As an Artificial Intelligence and Machine Learning Scientist your duties will include the following, but are not limited to:


You will be expected to collaborate with a multidisciplinary team composed of government, FFRDCs, and other contractors to research, develop, and refine innovative methods for the curation, and labeling of Overhead Persistent Infrared (OPIR) data.  You will also contribute to typing, and fusion of OPIR data to support advanced machine learning applications. Responsibilities include designing and implementing an end-to-end out-of-distribution (OOD) detection and processing pipeline to triage, characterize, and extract value from large backlogs of unlabeled data; developing automated and human-on-the-loop labeling workflows to efficiently generate high-quality training datasets; and establishing data quality, provenance, and validation processes that improve model training, generalization, and operational performance.  Onboard users in the lab to the HEARTH system and support their efforts to develop models using the system.


Expectations and Responsibilities:


  • You are expected to be a positive, engaged, and contributing team member, both within your assigned team, the lab, and across the company.
  • You will be responsible for delivering or contributing to a diverse range of features and systems.
  • You will build and integrate software components into a fully functional software system that exceeds customer expectations.
  • You will have a focus on both fast iteration and long-term architecture while creating maintainable, testable, well-structured high-quality code.
  • You will be responsible for high-quality implementation of features, tools, documentation and support including automated tests and low-level debugging.

Required Qualifications: 


  • U.S. Citizenship
  • Master’s Degree in in Engineering with a concentration in Artificial Intelligence and Machine Learning, a related field or and 8+years of applicable progressive experience. OR
  • PhD Degree in in Engineering with a concentration in Artificial Intelligence and Machine Learning, a related field and 5+years of applicable progressive experience.
  • Secret clearance at a minimum is required to start and ability to maintain a DoD Clearance is a condition of ongoing employment.
  • Exceptional verbal, written, and interpersonal communications skills. 
  • Ability to explain complex technical concepts and share knowledge with diverse audiences both internally and externally.
  • Must be an effective problem solver and debugger.
  • Able to work independently, prioritize and meet deadlines.
  • Must be organized, able to manage multiple projects simultaneously, and understand business needs.

Preferred Qualifications:


  • Experience with Software Development and Deployment in Kubernetes Cluster
  • Passion for developing AI/ML applications.
  • Experience Designing Data Contracts and integrating with APIs.
  • Experience developing CI/CD Pipelines with Jenkins and Gitlab.
  • Full understanding of using Software Code Repositories (Git, Perforce Helix, etc.) during development.
  • Issue tracking with Atlassian Jira.

Schedule: M-F; 8-5

Work Location: onsite in Boulder Ground Innovation Facility, Boulder, CO

Travel: yes, 10-20%

Relocation Assistance Available: No

Position Contingent Upon Award of Contract: No

Salary range: $130,000-$138,000

The salary range information is general guidelines only.  Several factors can influence the salary for a position including but not limited to, Federal Government contract labor categories and contract wage rates, geographic location, business considerations, scope, and responsibilities of the position, local or other applicable market conditions, and internal equity. Other factors include the candidate’s qualifications such as relevant prior work experience, specific skills and competencies, education/training, and certifications. 


#LI-DK1


Benefits: 


Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.  



Applying to Torch Technologies: 


Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check. 

­

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law.  Torch Technologies, Inc. participates in E-Verify. 



If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to [email protected]. Thank you for your interest in Torch Technologies. 

Torch Technologies, Inc. Colorado Springs, Colorado, USA Office

6760 Corporate Drive, Suite 110, Colorado Springs, CO, United States, 80919

Similar Jobs

One Month Ago
In-Office
Denver, CO, USA
180K-226K Annually
Senior level
180K-226K Annually
Senior level
Healthtech
Develop and productionize AI/ML solutions for healthcare, focusing on multimodal LLMs, conversational AI, document understanding, search, and Q&A. Responsibilities include evaluating and fine-tuning models, building training data pipelines, managing the full ML lifecycle, deploying scalable solutions, troubleshooting integrations, documenting architecture, and ensuring HIPAA compliance. The role requires strong Python and PyTorch skills, experience with LLM training platforms and cloud ML services, and close collaboration in a fast-paced startup environment.
Top Skills: Aws SagemakerAzure Machine LearningDatabricksDeepspeedHugging FaceLarge Language Models (Llms)Multimodal Language Models (Mlms)PythonPyTorchRagRlhf
One Month Ago
In-Office
Denver, CO, USA
190K-237K Annually
Senior level
190K-237K Annually
Senior level
Healthtech
Develop and productionize applied AI/ML solutions for healthcare, including multimodal LLMs, document understanding, search, Q&A, and conversational AI. Responsibilities include evaluating and fine-tuning open-weight models, building ML data pipelines, managing model lifecycles, troubleshooting deployments, ensuring HIPAA compliance, and driving technical innovation across the team.
Top Skills: Aws SagemakerAzure MlDatabricksDeepspeedGenerative AiHipaaHugging FaceLarge Language Models (Llms)Multimodal Language Models (Mlms)PythonPyTorchRagRlhfTransformer Models
2 Months Ago
Remote or Hybrid
United States
Entry level
Entry level
Big Data • Software • Quantitative Trading
Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.
Top Skills: JaxLightgbmPandasPolarsPythonPyTorchScikit-LearnXgboost

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account