Striveworks · 1 hour ago
Senior Machine Learning Engineer
Striveworks is a company that helps organizations harness the power of artificial intelligence to solve real-world challenges. As a Senior Machine Learning Engineer, you will be a core contributor to customer-driven projects and help extend Striveworks’ core software products by developing machine learning models and custom analytics.
AnalyticsArtificial Intelligence (AI)Computer VisionGeospatialMachine LearningNatural Language ProcessingSoftware
Responsibilities
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
Qualification
Required
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.)
Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
Due to the nature of this role, candidates must have US citizenship
Preferred
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
Active Secret (or above) US security clearance
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
Company
Striveworks
AIOps, AI, Machine Learning, ML, Data Science
Funding
Current Stage
Growth StageTotal Funding
$32.28MKey Investors
Centana Growth Partners
2023-06-01Series Unknown· $32.28M
Recent News
2026-01-09
Company data provided by crunchbase