ML Engineer - Remote

About The Company Striveworks is at the forefront of delivering trusted artificial intelligence (AI) systems that operate reliably in real-world environments. Founded with the mission to address the critical gap between AI model development and sustained production performance, Striveworks provides a unique assurance layer that monitors, manages, and sustains hundreds of AI models beyond the laboratory setting. With the government’s increasing demand for AI technologies outpacing the availability of robust systems, Striveworks is dedicated to ensuring AI systems maintain their efficacy and trustworthiness throughout their operational lifecycle. Headquartered in Austin, Texas, the company fosters a culture rooted in trust, respect, candor, and ownership, emphasizing quality and impact in all its endeavors. About The Role The Staff Machine Learning Engineer role at Striveworks is a pivotal position that combines technical expertise with leadership and customer engagement. Since 2018, Striveworks has been delivering AI systems that sustain performance in complex, real-world situations, and as a Staff Machine Learning Engineer, you will be instrumental in continuing this legacy. You will lead the design, development, and deployment of advanced AI systems, guiding projects from initial data shaping and analytics through to end-user delivery. This role requires close collaboration with both internal engineering teams and external customers, translating challenging problems into practical, production-ready solutions. The position offers a hybrid or remote working arrangement based out of Austin, Texas, with up to 25% travel to engage directly with clients and stakeholders. As a key technical leader, you will influence product direction based on real-world feedback and contribute to the company’s mission of building AI systems that truly work. Qualifications Advanced degree in Data Science, Machine Learning, Computer Science, or a related field10+ years of relevant professional experience in machine learning and software engineeringProven leadership, management, and mentorship capabilities across cross-functional engineering teams in office, remote, and customer-facing environmentsExperience in defining, scoping, planning, and executing complex production-level technical solutionsStrong communication skills with the ability to clearly articulate complex technical concepts to diverse audiencesExpertise in programming languages common to machine learning, with proficiency in Python and at least one systems programming languageProficiency in algorithm design, data structures, production analytics, and the application of design patterns in cloud environmentsFamiliarity with modern software engineering tools and best practicesActive Secret or higher US security clearance and US citizenship Preferred But Not Required Experience with Kubernetes (K8s) and horizontally scaled architecturesKnowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similarExperience building AI agents and workflow systemsExperience working with complex and varied data typesExperience delivering technology solutions in secure government environments Responsibilities Lead the design, development, and delivery of machine learning systems from data ingestion through to end-user deploymentCollaborate closely with customers and internal teams to understand complex problems and translate them into scalable AI solutionsManage and mentor cross-functional engineering teams, fostering technical excellence and professional growthScope and plan technical projects, ensuring timely and high-quality execution of deliverablesMonitor and maintain AI model performance in production environments, addressing model drift and degradation proactivelyEngage in direct customer interactions to gather feedback and inform iterative product improvementsContribute to the continuous improvement of software engineering practices and tooling within the organizationEnsure compliance with security requirements and maintain appropriate clearances for sensitive government projects Benefits Competitive base salary in the range of $210,000–$260,000 per yearEquity grants and cash bonuses as part of a comprehensive total compensation packageMedical, dental, and vision insurance plansVoluntary life insurance, long-term disability, accident, and hospital indemnity insurance optionsHealth Savings Account (HSA) and Flexible Spending Account (FSA), including dependent care FSA401(k) retirement savings planUnlimited paid time off (PTO) policyPaid parental leave Equal Opportunity Striveworks is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and do not discriminate on the basis of race, color, religion, belief, sex (including pregnancy, 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 any other non-merit factors. We maintain a strict policy against discrimination and harassment of any kind. If you require assistance or a reasonable accommodation during the application process, please contact People Operations at hr@striveworks.us. 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.