Striveworks

Staff Machine Learning Engineer (Active Secret Clearance)

Striveworks
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4 months ago
Remote, Worldwide or Austin, TX, USAStaff+

Base Salary

$200k - $250k/yr

Responsibilities

  • Work with customers, engineers, and stakeholders to define requirements and apply the AI operations platform to customer problems.
  • Translate requirements into technical approaches, designs, estimates, and execution plans.
  • Lead execution teams to deliver project outcomes on schedule while making hands-on technical contributions.
  • Design, orchestrate, and automate complex data pipelines and algorithms in modern architectures.
  • Guide development of machine learning models and custom analytics for image, video, text, geospatial, time-series, and structured data.
  • Conduct customer-site fieldwork and interface with customers and stakeholders.
  • Improve engineering practices, identify reusable functionality, expand company opportunities, and accelerate time to value.
  • Inform future platform capabilities and present technical vision and outcomes to customers.

Requirements

  • Advanced degree in data science, machine learning, computer science, or a related discipline.
  • 10+ years of relevant experience.
  • Strong Python expertise and knowledge of TensorFlow, PyTorch, and scikit-learn, plus familiarity with systems programming languages such as Go, Rust, C++, Java, or Scala.
  • Experience designing and delivering algorithms, data structures, production analytics, and design patterns in cloud environments.
  • Experience defining, scoping, planning, and delivering complex technical solutions in production environments.
  • Proficiency with software engineering tools and processes including version control, issue tracking, CI/CD, and debugging.
  • Ability to lead, manage, and mentor small cross-functional teams across office, remote, and customer-site settings.
  • Ability to communicate complex technical topics clearly to technical and non-technical stakeholders through documents, presentations, and conversations.
  • Active Secret or higher US security clearance.
  • US citizenship is required.
  • Preferred experience with Kubernetes and horizontally scaled architectures.
  • Preferred knowledge of messaging systems such as NATS, Kafka, or RabbitMQ.
  • Preferred experience building AI agents and workflows.
  • Preferred experience with multispectral imagery, full-motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry.
  • Preferred experience delivering technology solutions in secure government environments.

Benefits

  • Fully remote, hybrid, or on-site work at the northwest Austin, Texas office.
  • Travel up to 20% of the time.
  • Medical, dental, and vision insurance.
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance.
  • HSA, FSA, and dependent care FSA plans.
  • 401(k) plan.
  • Unlimited PTO.
  • Paid parental leave.
  • Equity grants and cash bonuses are included in the total compensation package.

Tech Stack

Apache KafkaC++GoJavaKubernetesPythonPyTorchRabbitMQRustScalascikit-learnTensorFlow
Striveworks

About Striveworks

51-200 employees

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks The next era of American leadership will be defined by whether our AI systems can work when and where it matters most. Since 2018, Striveworks has delivered the most trusted AI systems operating in continuous, real-world use. Today, our platform is trusted by hundreds of people responsible for some of the most important operations across the United States, and the results speak for themselves. Chariot solves what most platforms don’t, delivering and managing production-grade ML in austere, disconnected, and high-stakes environments where speed and accuracy are mission-critical. At scale, systems process data 21x faster and fuse signals 40x faster across distributed nodes. In live environments, models deliver ~30% average performance lift, with gains up to 2x on specific object classes. In critical workflows, execution improves by 95% with no loss in accuracy. If you want to build systems that work for a mission that matters—and be accountable for systems that work in the real world—we should talk. Striveworks is a Deloitte Technology Fast 500 and a Built In Best Places to Work.