Striveworks is an AI operations company that provides an AIOps platform to deploy, govern, monitor, and sustain AI for national security and defense missions.
<h2><strong>Build, Deploy, and Maintain AI for an Unpredictable World</strong></h2> <p>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. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.</p> <p>With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.</p> <h2><strong>The Role</strong></h2> <p>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. In this mission-critical work, you will design AI-powered solutions, you will bring them into being—from data shaping and ingestion, through analytics, to end-user delivery—and you will inform future platform capabilities.</p> <p>You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.</p> <p>Your day-to-day will include:</p> <ul> <li>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.</li> <li>Translating requirements into a technical approach, design, scoping estimate, and execution plan.</li> <li>Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.</li> <li>Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).</li> <li>Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. </li> <li>Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.</li> <li>Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.</li> </ul> <p>This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time. </p> <h2><strong>The Right Fit</strong></h2> <p>In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. </p> <p>Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.</p> <p>Here’s what we’re looking for:</p> <ul> <li>Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience </li> <li>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.)</li> <li>Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments</li> <li>Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments</li> <li>Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)</li> <li>Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites</li> <li>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</li> <li>Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance</li> <li>Due to the nature of this role, candidates must have US citizenship</li> </ul> <h2><strong>The Wish List</strong></h2> <p>We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:</p> <ul> <li>Experience with Kubernetes (k8s) and horizontally scaled architectures</li> <li>Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar</li> <li>Experience building AI agents and workflows</li> <li>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</li> <li>Experience delivering technology solutions in secure government environments</li> <li>Active Secret (or above) US security clearance</li> </ul> <p>The anticipa