Dec 08, 2021

R&D Engineer

$80,000 - $120,000 yearly
  • Balance Staffing
  • Remote (Austin, TX, USA)
Full-Time Aerospace - Aviation Defense Engineering Government

Job Description

Our client is seeking a Principal Machine Learning Engineer to solve our most challenging AI/ML R&D problems. The ideal candidate has experience across the AI/ML deployment pipeline, from experimentation, prototyping, testing, validation, verification, scaling, and operational deployment; and has excellent written, oral, teamwork, and collaboration skills. The candidate will work with team members across multiple internal organizations and customers to develop explainable multi-domain data-driven solutions.

  • Lead multiple concurrent project teams and deliver across entire machine learning value chain, from domain application analysis, concept, architecture, experimentation, prototyping, and production deployment.
  • Architect full-stack AI solutions for diverse customer needs.
  • Mentor junior team members to develop their technical and problem-solving skills.
  • Learn new application & mission domains; apply creativity to develop analytical approach and execute experimentation leading to novel prototype proof-of-concept capabilities.
  • Build and deploy full-stack AI/ML solutions using modern technologies (e.g. TensorFlow, Pytorch, TimyML, Pandas, Spark, Hadoop, Docker, Apache Storm, ggplot, etc)
  • Apply diverse analytical approach to customer challenges (e.g. data mining, statistical modeling, predictive analytics, optimization, risk analysis, data visualization, etc)
  • Build data collection plans, test scenarios in mission environments to enable machine learning experimentation.
  • Engage and collaborate with internal and external partner teams to advance ML/AI application development and deployment to production.
  • Apply agile methodologies to accelerate delivery by identifying and removing process barriers through continuous collaboration with key stakeholders.
  • Write and illustrate technical whitepapers/proposals to explain mission technical approach and system performance, for internal and customer review.

Occupations

Electrical-Electronics Engineering, General-Other: Engineering, Industrial-Manufacturing Engineering, Mechanical Engineering, Naval Architecture-Marine Engineering, RF-Wireless Engineering, Systems-Process Engineering

States

TX

Salary

80,000 - 120,000

Security Clearance

Requires Security Clearance

Job Requirements

Qualifications we Require:

  • Bachelor’s degree in Computer Science, Data Science, Mathematics/Statistics or related STEM field.
  • Ability to obtain a US Government security clearance. Security clearances are granted to U.S. citizens.
  • 3+ years of relevant applied experience delivering across the entire artificial intelligence value chain (from domain application analysis, concept, architecture, experimentation, prototyping, and production deployment).

Qualifications we Desire:

  • 7+ years of relevant applied experience delivering across the entire artificial intelligence value chain (from domain application analysis, concept, architecture, experimentation, prototyping, and production deployment).
  • Ability to travel domestically and internationally
  • Proven ability to lead across multiple concurrent project teams, from domain application analysis, concept, architecture, experimentation, to production and deployment
  • Proven experience directly engaging with and managing stakeholders, formulating technical approach, gaining internal and external stakeholder approval
  • Deep understanding and diverse analytical experience with data mining, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.
  • Experience writing and illustrating technical whitepapers/proposals to explain mission technical approach and system performance, for internal and customer review.

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