Technical Program Manager

About the role

Torch.AI is seeking candidates who bring creativity to problem-solving, are comfortable working without full clarity, and take responsibility for outcomes. This role involves building a government-owned reasoning infrastructure that enhances machine reasoning at scale.

Responsibilities

• Develop and maintain the Reasoning Layer, a modular architecture for data ingestion, orchestration, governance, semantic representation, vectorization, graph-based fusion, and reasoning.
• Collaborate with engineers, data experts, veterans, and mission practitioners to ensure the infrastructure meets mission and operational needs.
• Work closely with stakeholders to understand requirements and translate them into technical solutions.
• Ensure the infrastructure operates efficiently and securely, adapting to changing requirements and technologies.
• Contribute to the continuous improvement of the Reasoning Layer through iterative development and testing.

Requirements

• Experience with machine learning, data engineering, and system integration.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Ability to work in a fast-paced, agile environment.
• Passion for building robust, scalable infrastructure for government missions.
• Active Secret, Top Secret, or Top Secret/SCI clearance (where required).

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• At least 5 years of relevant work experience.
• Experience with data management, machine learning, and system integration.

Skills

• Proficiency in Python, Java, or other relevant programming languages.
• Experience with data pipelines, databases, and cloud platforms (AWS, Azure, Google Cloud).
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data governance and compliance standards.

Benefits

• Competitive salary commensurate with experience.
• Health, dental, and vision insurance.
• Paid time off and flexible work schedule.
• Professional development opportunities and training programs.
• Flexible work arrangements including remote and hybrid options.
• Opportunities for career growth and advancement within the organization.

Pay

Compensation is competitive and commensurate with experience.

Schedule

Most roles are full-time, with some flexibility for remote and hybrid work.