Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes.
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.)
- Experience with Kubernetes (k8s) and horizontally scaled architectures
- Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
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.
Other
- As a Staff Machine Learning Engineer at Striveworks, you will be challenged—and trusted—on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company.
- You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.
- 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
- Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
