Senior ML Engineer (TS/SCI) — AI Assurance & MLOps

Striveworks; Arlington (VA); Hybrid; USD 185,000 - 230,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Unlimited PTO

401(k) plan

Paid parental leave

HSA and FSA plans

Job summary

Striveworks is seeking a Senior Machine Learning Engineer to drive customer projects and maintain products. You will partner with customers, data scientists, software engineers, and DevOps to define requirements and orchestrate data pipelines.

You’ll build ML models across diverse data types and contribute to the Chariot AIOps platform. You will work directly with clients, travel up to 10%, and join a team that values trust, candor, and ownership as core principles in a mission-driven

Qualifications

• BS degree in computer science, ML, or related field and 6+ years of relevant experience.
• Experience delivering data-centric systems.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong software engineering fundamentals including algorithms and data structures.
• Experience with containerized/cloud environments.
• Active TS/SCI clearance and US citizenship.

Responsibilities

• Define requirements and orchestrate complex data engineering pipelines.
• Develop machine learning models and analytics across image, video, text, geospatial, time series, and structured data.
• Collaborate with customers, data scientists, software engineers, and DevOps to deliver projects.
• Inform the future of Chariot, the AIOps platform.
• Support mission-critical deployments and direct customer contact.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Data-centric systems

Algorithms

Data structures

Software engineering fundamentals

Systems programming

Cloud/container experience

Team collaboration

Customer-facing collaboration

Education

BS in computer science, machine learning, or related discipline

Advanced degree in data science, ML, CS

Tools

Docker

Kubernetes

CI/CD

AWS/GCP/Azure

Job description

Striveworks is seeking a Senior Machine Learning Engineer to drive customer projects and maintain products. You will partner with customers, data scientists, software engineers, and DevOps to define requirements and orchestrate data pipelines.

You’ll build ML models across diverse data types and contribute to the Chariot AIOps platform. You will work directly with clients, travel up to 10%, and join a team that values trust, candor, and ownership as core principles in a mission-driven