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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
$116,000 - $168,000
Machine Learning
Staff Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS · Defense

Description For Senior Staff/Senior Machine Learning Engineer

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 operational environments. As a senior team member, you'll have the chance to establish best practices and mentor junior engineers while working on complex real-world problems across various government agencies.

The role requires extensive experience in Python development, deep learning frameworks like PyTorch or Tensorflow, and MLOps tools. You'll be working in a collaborative environment with cross-functional teams, including software developers, analysts, and DevOps professionals, to create integrated ML systems that meet high security and performance standards.

This is an excellent opportunity for an experienced ML engineer who wants to make a meaningful impact in the defense sector while working with advanced technologies. The position offers competitive compensation ($116,000-$168,000) and comprehensive benefits, including full medical coverage, ESOP, and 401k contributions.

Key technical requirements include 5+ years of ML solution development experience, expertise in Python applications for large-scale systems, and strong understanding of deep learning approaches. The role requires U.S. citizenship due to the nature of government contracts and security clearance requirements.

The company offers a supportive work environment with opportunities for professional growth, flexible work hours, and a strong focus on work-life balance. If you're passionate about applying ML technologies to solve complex national security challenges and want to work with a team of dedicated professionals, this role at SciTec could be your next career move.

Last updated 12 days 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
  • 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
  • Ability to obtain and maintain security clearance

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

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