Build, Deploy, and Maintain AI for an Unpredictable WorldStriveworks 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 RoleAs 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 solutions provider to project sites and customers where Chariot, our proprietary data platform, is deployed.

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 platformDeveloping machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured dataOrchestrating and automating complex data engineering and analytic pipelinesEnvisioning, specifying, and, at times, designing and implementing core product functionalityOpportunities to conduct mission-critical field workThis position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX, with up to 25% travel.

The Right FitIn 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 experienceDemonstrated 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-learnProficiency 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. )Eligibility and willingness to obtain and maintain a Secret (or above) US security clearanceDue to the nature of this role, candidates must have US citizenshipThe Wish ListWe’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 disciplineKnowledge 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 agentsExperience defining, scoping, planning, and delivering complex technical solutionsExperience leading a small teamExperience delivering technology solutions in secure government environmentsActive Secret (or above) US security clearance 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 insuranceVoluntary life, long-term disability, accident, and hospital indemnity insuranceHSA and FSA (including dependent care FSA) plans 401(k) planUnlimited PTOPaid parental leaveStriveworks 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.