Build, Deploy, and Maintain AI for an Unpredictable World 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. 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. The Role As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. Your day-to-day will include: - Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform - Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data - Orchestrating and automating complex data engineering and analytic pipelines - Envisioning, specifying, and, at times, designing and implementing core product functionality - Opportunities to conduct mission-critical field work 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 25% of the time. The Right Fit 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. 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. Here’s what we’re looking for: - BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience - Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics) - Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn - Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.) - Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.) - Active Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship The Wish List We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: - Advanced degree in data science, machine learning, computer science, or a related discipline - Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular) - Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures) - Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals) - Experience building agentic systems, agentic workflows, or AI agents - Experience defining, scoping, planning, and delivering complex technical solutions - Experience leading a small team - Experience delivering technology solutions in secure government environments The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The Benefits - 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 Check us out on Built In! Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

• Translate Data Science Algorithms and Methods in R&D stage to stable, durable, and extensible software • Provide thought leadership on best algorithm development practices and hosting technologies • Engineer fully featured and real-time modeling pipelines that leverage the best of containerization, data storage, streaming, and MPP technologies • Engineer and maintain ecosystem of modeling micro-services utilizing best of on-prem and cloud-based elastic compute • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure in collaboration with stakeholders • Design and engineer high performance computing platforms and algorithms for a wide variety of data • Work with real time data sources and have a knack for identifying scalable data access patterns • Work closely with R&D data science teams to productionize successful models in an on-demand environment

Summary The Instructor will deliver and implement the Pharmacy Technician program in an online format, educating students in alignment with curriculum standards and objectives. Essential Functions - Conduct online courses in accordance with established guidelines. - Facilitate weekly synchronous instructional sessions. - Provide feedback on assignments and support students struggling with course content. - Maintain and record grades per policy; submit final grades at the end of each course. - Proactively support retention by contacting non-engaged students via phone, text, or email, and advising on academic progress and participation. - Respond to student communication within 24 hours and grade assignments within 48 hours of due dates. - Direct students with questions about financial aid, transcripts, etc., to the appropriate personnel. - Engage in required professional development and continuing education. - Attend faculty meetings—either synchronously or asynchronously. - Stay up-to-date on professional trends and advancements in technology. Note: The above list of essential functions is not exhaustive and may be supplemented. Marginal Functions - Perform mental tasks such as communication, reading, and comprehension from written and oral instructions. - Execute physical tasks like sorting, filing, writing, and lifting up to 20 pounds. Methods, Techniques & Procedures - Review relevant documents, forms, and reports. Tools & Equipment - Utilize office equipment, including telephones, copiers, printers, and computers. Working Conditions - Exposure to indoor classrooms, labs, and office environments. - Interaction with employees, students, and the public. - Potential exposure to biohazardous materials (e.g., blood, saliva). Minimum Qualifications - Graduation from an accredited Pharmacy Technician program recognized by the U.S. Department of Education or Council for Higher Education Accreditation (CHEA), a hospital-based program, or an international equivalent. OR - Four (4) years of relevant training/experience for non-accredited program graduates. - Three (3) years of practical experience in a pharmacy technician setting. - Possession of current licenses, certifications, or designations required by local, state, or federal law. - Strong verbal and written communication skills. - Proficiency in Word, Excel, Access, PowerPoint, and other computer software.

• Design, automate and monitor Machine Learning pipelines • Implement and maintain CI/CD processes for models • Work on orchestration and large-scale data processing • Ensure best practices for versioning, testing and model deployment • Collaborate with Data, Engineering and Business teams for continuous improvement of solutions