Technergetics

Machine Learning Engineer

• Leads the design, development, and deployment of machine learning models and algorithms to solve complex business problems
• Leads integration of state-of-the-art machine learning libraries and frameworks into existing software applications
• Develop and maintain data pipelines for collecting, preprocessing, and transforming data for machine learning tasks
• Develops, enhances, and maintains data and software to support our software products
• Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by the product owner and other stakeholders in a production environment
• Leads, coaches, and mentors junior data scientists, engineers, and other staff
• Contributes to phases of the software development life cycle, including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support
• Participates in daily scrums, works with the scrum master on projects to support delivery timelines and priorities
• Organizes and prioritizes team workload with the scrum team through story-pointing
• Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions
• Perform unit testing and debugging to identify and fix software defects
• Contribute to code reviews and provide constructive feedback to peers
• Stay updated on novel AI/ML approaches, frameworks, and industry trends to continuously improve skills and knowledge
• Contribute to or lead proposal writing for new opportunities with government R&D organizations and/or commercial companies
• Apply your technical expertise to become an AI subject matter expert for small teams of researchers and engineers on advanced R&D projects funded by government and/or commercial customers

Machine Learning Engineer III

Engineer

• Build next-generation digital twins and simulation frameworks for U.S. Space Force operational use cases
• Develop and integrate digital twin models of space platforms, ground systems, and mission workflows
• Run simulations and deliver insights for mission planning and decision-making
• Apply software engineering best practices (Python, C++, MATLAB, DevSecOps)
• Collaborate with engineers, operators, and DoD/Space Force partners
• Analyze system performance, run scenario-based simulations, and provide insights for mission planning
• Document model architectures, assumptions, and results for technical and non-technical audiences
• Approximately 10% travel to company headquarters in Utica, NY and client sites across the country

Modeling and Simulation Engineer II

Project Manager

• Collaborate with management, business, customer and technology groups throughout the technological project lifecycle
• Analyze, plan and develop requirements and standards for scheduled projects
• Develop, maintain and archive project documentation, cost estimates, roadmaps, work plans, logs, status reports and other project deliverables per standards
• Provide leadership and technical management using prescribed Scrum and Agile methodologies at stand-ups, sprint planning meetings, retrospectives, etc.
• Define clear deliverables, roles and responsibilities for staff members required for specific projects or initiatives
• Assist to assign and oversee the daily tasks of technical personnel while ensuring all team members are actively working toward established milestones
• Track team performance and deliverables while leading schedule and cost changes with customers
• Assist to manage conflicts to an early resolution and escalate unresolved issues through proper channels
• Internship can be fully remote or in-person; remote/local interns may infrequently need to travel to Technergetics headquarters in Utica, NY, AFRL in Rome, NY, or a customer site
• Position is for SkillBridge applicants (Active Duty Military) to gain DoD industry Project Management experience

Machine Learning Engineer III

Modeling and Simulation Engineer II

Project Management Intern