Senior ML Engineer – Mission-Critical AI (TS/SCI)

Striveworks; United States; Hybrid; USD 185,000 - 230,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

401(k) plan

Unlimited PTO

Paid parental leave

Job summary

Striveworks is seeking a Senior Machine Learning Engineer to be a core contributor on customer-driven projects and enduring products. You will collaborate with customers, data scientists, software engineers, and DevOps to define requirements, orchestrate data pipelines, and develop ML models across diverse data types.

You will work on the Chariot AIOps platform, with mission-critical deployments and direct customer contact, in a hybrid setup in Northern Virginia with up to 10% travel.

Qualifications

• BS degree in computer science, machine learning, or related discipline.
• 6+ years of relevant experience.
• Proficiency in Python; TensorFlow, PyTorch, and/or scikit-learn.
• Strong software engineering fundamentals including algorithms and data structures; at least one systems programming language.
• Proficiency with modern software engineering tools and processes.
• Active TS/SCI security clearance and US citizenship.

Responsibilities

• Define requirements and orchestrate complex data engineering pipelines.
• Develop machine learning models and analytics for image, video, text, geospatial, time series, and structured data.
• Collaborate with customers, data scientists, software engineers, and DevOps engineers.
• Contribute to Chariot, the company’s proprietary AIOps platform, supporting mission-critical deployments.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Data-centric systems

Algorithms & data structures

Systems programming

Education

BS degree in computer science, machine learning, or related discipline

Tools

Docker/Kubernetes

Cloud environments

Job description

Striveworks is seeking a Senior Machine Learning Engineer to be a core contributor on customer-driven projects and enduring products. You will collaborate with customers, data scientists, software engineers, and DevOps to define requirements, orchestrate data pipelines, and develop ML models across diverse data types.

You will work on the Chariot AIOps platform, with mission-critical deployments and direct customer contact, in a hybrid setup in Northern Virginia with up to 10% travel.