Machine Learning Engineer

About The Company Striveworks is a pioneering organization dedicated to helping clients harness the transformative power of artificial intelligence to address complex national security and business challenges. Founded by a team of experienced data scientists and engineers, the company serves as a central hub that seamlessly integrates data, models, and business outcomes. Its mission is to simplify the journey from AI deployment to continuous optimization, ensuring systems remain reliable, adaptable, and scalable in an unpredictable world. Striveworks specializes in developing mission-critical AI solutions that perform reliably across diverse environments, scale efficiently with increasing workloads, and adapt rapidly to technological advancements. By focusing on increasing system reliability and performance while reducing operational costs, Striveworks empowers organizations to make confident, data-driven decisions in dynamic and high-stakes settings. About The Role As a Staff Machine Learning Engineer at Striveworks, you will play a vital role in shaping and leading the company’s AI initiatives. You will be entrusted from day one to contribute technically and serve as a customer-facing leader, guiding projects from conception to delivery. Your primary responsibilities will include designing AI-powered solutions, managing data ingestion and processing pipelines, developing analytics, and deploying models that meet critical operational needs. You will collaborate closely with customers, engineers, and stakeholders to understand their requirements, translate them into technical strategies, and oversee the execution to ensure timely delivery aligned with business value. Your expertise will guide the development of advanced machine learning models across various data types such as images, videos, text, geospatial data, and time series. Additionally, you will be involved in improving internal practices, capturing reusable functionalities, and accelerating the delivery of impactful solutions. This role offers flexibility with a fully remote work environment or a hybrid setup at our Austin, TX office, with travel requirements up to 20% for fieldwork and stakeholder engagement. Qualifications Advanced degree in data science, machine learning, computer science, or a related discipline10+ years of relevant professional experience in AI, data science, or software engineeringExpertise in Python, with proficiency in libraries such as TensorFlow, PyTorch, and scikit-learnStrong knowledge of systems programming languages like Go, Rust, C++, Java, or ScalaExperience designing and deploying complex algorithms, data structures, and analytics in cloud environmentsProven track record of delivering complex technical solutions in production settingsFamiliarity with modern software engineering practices including Agile methodologies, version control, CI/CD, and debugging toolsLeadership experience managing cross-functional teams across remote and on-site locationsExcellent communication skills to articulate complex technical concepts to diverse audiencesEligibility and willingness to obtain and maintain a US Secret (or higher) security clearanceU.S. citizenship is required for this role Responsibilities Engage with customers, engineers, and stakeholders to define clear project requirements that leverage AI capabilities to solve real-world problemsTranslate business needs into technical approaches, including system design, scoping, and planningLead project teams to ensure timely delivery of solutions that deliver measurable business value, while actively contributing to project executionDesign, orchestrate, and automate complex data pipelines and algorithms within modern architectures such as cloud, event-driven, and microservices environmentsGuide the development, training, and deployment of machine learning models across various data modalities including images, videos, text, and geospatial dataIdentify insights, opportunities, and challenges, providing feedback to improve practices, develop reusable components, and expand company offeringsConduct mission-critical fieldwork and interface directly with customers and stakeholders at their operational sitesContribute to the continuous improvement of platform capabilities and internal processes Benefits Medical, dental, and vision insurance coverageVoluntary life, long-term disability, accident, and hospital indemnity insuranceHSA and FSA plans, including dependent care FSA401(k) retirement savings planUnlimited paid time off (PTO)Paid parental leaveCompetitive salary package with equity grants and performance bonusesFlexible work arrangements including fully remote or hybrid options Equal Opportunity Striveworks is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, 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. We value diversity and are dedicated to fostering a workplace where everyone feels respected and empowered. I All hires are subject to verification of identity and eligibility to work in the United States, in compliance with federal law. Striveworks participates in the E-Verify program and promotes equal employment opportunity for all qualified applicants.