[Remote] Machine Learning Engineer (Active Secret Clearance)

Note: The job is a remote job and is open to candidates in USA. Striveworks is a company that helps organizations harness the power of artificial intelligence to solve real-world challenges. As a Machine Learning Engineer, you will be responsible for developing machine learning pipelines, automating data engineering processes, and contributing to the core product functionality while collaborating with a team of data scientists and engineers.ResponsibilitiesDeveloping machine learning pipelines 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 functionalityConducting mission-critical fieldwork in support of customers and other stakeholdersSkillsBS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experienceExperience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)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 in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learnExposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)Active Secret (or above) US security clearanceDue to the nature of this role, candidates must have US citizenshipAn advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, data science, or a related disciplineExcellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learnKnowledge 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], cloud architectures)Experience with machine learning applied to imagery and/or video dataExperience building agentic systems, agentic workflows, or AI agentsExperience defining, scoping, planning, and delivering complex technical solutionsExperience delivering technology solutions in secure government environmentsBenefitsMedical/dental/vision insuranceVoluntary life, long-term disability, accident, and hospital indemnity insuranceHSA and FSA (including dependent care FSA) plans401(k) planUnlimited PTOPaid parental leaveEquity grantsCash bonusesCompany OverviewAIOps, AI, Machine Learning, ML, Data Science It was founded in 2018, and is headquartered in Austin, Texas, USA, with a workforce of 51-200 employees. Its website is https://striveworks.com.