Software Engineer II (Python Focus)

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

• Design and implement modular architectures for data ingestion, orchestration, and governance.
• Create semantic representations and vectorized data for improved machine understanding.
• Develop graph-based fusion and reasoning capabilities to enable real-time decision-making.
• Collaborate with engineers, data experts, veterans, and mission practitioners to deliver impactful solutions.
• Own meaningful work and see systems deployed in production, often within weeks.

Requirements

• Experience with machine learning and data engineering.
• Comfortable working without full clarity and willing to be wrong, adjusting quickly based on feedback.
• Strong communication skills to collaborate effectively with diverse teams.
• Ability to work independently and manage multiple projects simultaneously.
• Active Secret, Top Secret, or Top Secret/SCI clearance (where required).

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum 5 years of relevant experience in data engineering or machine learning.
• Experience with data governance and orchestration tools.
• Knowledge of graph databases and reasoning technologies.

Skills

• Proficiency in Python, Java, or other relevant programming languages.
• Experience with data pipelines and ETL processes.
• Understanding of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with data visualization tools.

Benefits

• Competitive salary commensurate with experience.
• Health, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Flexible work schedule and remote options.
• Professional development opportunities.
• Opportunities to work on meaningful, impactful projects.

Pay

Compensation is competitive and commensurate with experience.

Schedule

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