Remote - Staff Machine Learning Engineer (Active Secret Clearance)

Striveworks is a company that helps organizations harness artificial intelligence for national security and business challenges. As a Staff Machine Learning Engineer, you will design AI-powered solutions, lead execution teams, and interface with customers to ensure project deliverables align with business value.

Responsibilities:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform
• Translating requirements into a technical approach, design, scoping estimate, and execution plan
• Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process
• Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.)
• Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data
• Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value
• Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites

Requirements:

• Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
• Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
• Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
• Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship
• Experience with Kubernetes (k8s) and horizontally scaled architectures
• Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
• Experience building AI agents and workflows
• Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry
• Experience delivering technology solutions in secure government environments