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Senior Staff/Senior Machine Learning Engineer

A dynamic small business delivering advanced sensor data processing technologies and scientific instrumentation capabilities for National Security and Defense.
Huntsville, AL, USA
$107,000 - $156,000
Machine Learning
Staff Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS · Defense

Job Description

SciTec, a dynamic small business focused on national security and defense, is seeking a Senior Machine Learning Engineer to join their Future Systems team. This role presents an exciting opportunity to shape and lead MLOps initiatives while working on critical government contracts.

The position involves designing and implementing cutting-edge machine learning solutions, with a focus on developing robust ML pipelines and models for simulation environments. As a senior team member, you'll play a crucial role in establishing ML best practices and mentoring junior engineers, while working closely with cross-functional teams including Software Developers, Analysts, and DevOps.

The ideal candidate brings 5+ years of ML experience and strong expertise in Python development for large-scale systems. Knowledge of modern ML frameworks like PyTorch or Tensorflow is essential, along with experience in MLOps tools and practices. The role requires U.S. citizenship due to the nature of government contracts and security clearance requirements.

SciTec offers an attractive compensation package ranging from $107,000 to $156,000 annually, complemented by comprehensive benefits including 100% company-paid medical insurance, ESOP participation, and 401(k) contributions. The position is based in Huntsville, Alabama, offering the opportunity to work on meaningful projects that directly impact national security while being part of a collaborative and innovative team environment.

This role is perfect for a seasoned ML professional who wants to make a significant impact in the defense sector while working with advanced technologies and leading-edge ML applications. The position offers both technical challenges and leadership opportunities, making it an excellent choice for career growth in the intersection of machine learning and national security.

Last updated 2 months ago

Responsibilities For Senior Staff/Senior Machine Learning Engineer

  • Employ and evaluate high-performing ML models in simulation environments
  • Design and develop ML approaches using cutting edge algorithms
  • Develop modular and flexible ML pipelines
  • Work with cross-functional teams to integrate and enhance ML systems
  • Define touchpoints and handoffs with DevOps and Analysts
  • Ensure pipelines and containers adhere to cybersecurity best practices
  • Mentor junior team members
  • Contribute to building a collaborative and innovative team culture

Requirements For Senior Staff/Senior Machine Learning Engineer

Python
Kubernetes
Rust
  • Bachelor's, Master's, or PhD in Computer Science, Engineering, or related technical field
  • 5+ years developing ML solutions
  • Expertise in architecting Python applications for large-scale systems
  • Familiarity with theoretical understanding of deep learning approaches
  • Advanced expertise in designing and optimizing ML workflows
  • Advanced expertise in designing workflows using MLflow, PyTorch or Tensorflow
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration capabilities
  • U.S. citizenship required
  • Security clearance eligible

Benefits For Senior Staff/Senior Machine Learning Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Equity
  • Employee Stock Ownership Plan (ESOP)
  • 3% Fully Vested Company 401K Contribution
  • 100% company paid HSA Medical insurance
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off
  • Flexible Work Hours