Jobs at Striveworks

Design and deploy production-grade machine learning models and data pipelines across image, video, text, geospatial, time-series, and structured data. Collaborate with customers, data scientists, software and DevOps engineers to define requirements, maintain mission-critical deployments, and contribute to the Chariot AI operations platform.

Design, validate, and deploy machine learning models and custom analytic algorithms across image, video, text, geospatial, time-series, and structured data. Work with engineers to implement AI solutions for cloud and edge, monitor model performance, manage drift, and sustain production systems in secure government environments.

Lead product vision and roadmap for AI infrastructure and agentic systems. Work with engineering, data science, and sales to define requirements, prioritize features, enable execution, validate deliverables, maintain technical documentation, support go-to-market launches, and track customer feedback and market trends to drive platform strategy and measurable outcomes.

As a Data Scientist, you'll develop and validate machine learning models, implement AI solutions, and conduct fieldwork in support of customers.

As a Machine Learning Engineer, you will develop machine learning models, automate data engineering pipelines, and support customer-centric projects while collaborating with data scientists and engineers.

The Senior DevOps Engineer will manage AI deployments, enhance cloud environments, implement Infrastructure-as-Code, and ensure software reliability while guiding junior team members.

As a Senior Software Engineer, you will develop, deploy, and maintain production ML models, lead projects, and collaborate across teams using various programming languages and tools.

As a Staff Machine Learning Engineer, lead teams in designing AI solutions, managing projects, and interfacing with clients while ensuring technical excellence and operational effectiveness.

Lead and execute internal IT strategy and operations for a hybrid AI-focused company: manage cloud and on‑prem infrastructure, mentor a small IT team, drive automation, enforce security/compliance (CMMC), handle vendor and budget management, and provide hands-on systems administration and SRE support.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

Lead delivery, customer relationships, and program growth for an Army Corps HQ program. Own execution, manage a small cross-functional team, translate user needs into technical roadmaps, mitigate risks, and ensure operational sustainment of AI capabilities in deployed environments.