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

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)
Proficiency in 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

Medical/dental/vision insurance
Voluntary life, long-term disability, accident, and hospital indemnity insurance
HSA and FSA (including dependent care FSA) plans
401(k) plan
Unlimited PTO
Paid parental leave

Travel up to 20% of the time
US citizenship required
Active Secret (or above) US security clearance required
Position offers fully remote work environment or hybrid/on site at office in northwest Austin, TX

Striveworks is hiring a Staff Machine Learning Engineer (Active Secret Clearance)