Senior ML Engineer - Active Secret Clearance (Hybrid Austin)

Striveworks; Austin (TX); Hybrid; USD 185,000 - 230,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Voluntary life, long‑term disability,

HSA and FSA plans

401(k) plan

Unlimited PTO

Paid parental leave

Job summary

Striveworks in Austin, Texas, is seeking a Senior Machine Learning Engineer with an active US security clearance to drive data-centric ML solutions. You’ll collaborate with customers, data scientists, software engineers, and DevOps to define requirements and build scalable pipelines for real-world AI deployments.

You will contribute to the Chariot AI operations platform, shape product directions, and deliver mission-critical machine learning systems across image, video, text, geospatial, and

Qualifications

• BS degree in computer science, machine learning, or a related discipline; 6+ years of relevant experience.
• Proficiency in Python; strong experience with TensorFlow, PyTorch, and/or scikit-learn.
• Strong fundamentals in algorithms and data structures; one systems programming language.
• Experience delivering data-centric systems and modern software engineering practices.

Responsibilities

• Define requirements and orchestrate complex data engineering pipelines with customers and teams.
• Develop machine learning models and custom analytics across multiple data types.
• Contribute to Chariot, the company’s AI operations platform, and drive production deployments.
• Work closely with data scientists, software engineers, and DevOps across projects.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Algorithms & data structures

Systems programming (C/C++)

Education

BS in computer science or related

Advanced degree (preferred)

Tools

Docker

Cloud deployment

Job description

Striveworks in Austin, Texas, is seeking a Senior Machine Learning Engineer with an active US security clearance to drive data-centric ML solutions. You’ll collaborate with customers, data scientists, software engineers, and DevOps to define requirements and build scalable pipelines for real-world AI deployments.

You will contribute to the Chariot AI operations platform, shape product directions, and deliver mission-critical machine learning systems across image, video, text, geospatial, and