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- The candidate should also understand current and emerging state of the art large language models and optimize machine learning models and algorithms to meet very specific use cases
- 1-3 years' experience building machine learning applications in Python
- Experience with satellite design and manufacturing or of aerospace industry processes
- Excellent communication skills when discussing technical concepts with technical and non-technical colleagues
- Bachelor's degree (or equivalent) in computer science, mathematics, or related field
- Applicants MUST be U.S. citizens and eligible for a security clearance
- Additionally, applicants must be willing to apply for and maintain a security clearance
- Mandatory Security Clearance and Access Process Disqualifying Criteria
- The ideal candidate will be skilled in using statistics and programming to assess, analyze, and organize large amounts of data for actionable use
- Create machine learning algorithms, applications and systems
- Solve complex problems using multilayered data sets to extract actionable information that will drive engineering and business decisions across the company
- Leverage knowledge of ML capabilities and applications to apply in real-world applications to improve Millennium enterprise systems
- Build, test, deploy and maintain production systems and applications which transform disparate data sources to generate accurate unbiased actionable information
- Create ML applications which expedite and optimize enterprise functions and processes to build state of the art satellites
- Train, retrain, and monitor machine learning systems and models as needed
- Construct optimized data pipelines to feed machine learning models
- Collaborate with managers and key stakeholder teams to determine and refine machine learning objectives in support of business use cases
- Extend existing machine learning libraries and frameworks to optimize Millennium specific uses
- Level 3: $121,550 - $178,750
- Millennium Space Systems offers a very competitive benefits package to include medical, dental, vision, and 401k plan
- The candidate should also understand current and emerging state of the art large language models and optimize machine learning models and algorithms to meet very specific use cases
- 1-3 years' experience building machine learning applications in Python
- Experience with satellite design and manufacturing or of aerospace industry processes
- Excellent communication skills when discussing technical concepts with technical and non-technical colleagues
- Bachelor's degree (or equivalent) in computer science, mathematics, or related field
- Applicants MUST be U.S. citizens and eligible for a security clearance
- Additionally, applicants must be willing to apply for and maintain a security clearance
- Mandatory Security Clearance and Access Process Disqualifying Criteria
- The ideal candidate will be skilled in using statistics and programming to assess, analyze, and organize large amounts of data for actionable use
- Create machine learning algorithms, applications and systems
- Solve complex problems using multilayered data sets to extract actionable information that will drive engineering and business decisions across the company
- Leverage knowledge of ML capabilities and applications to apply in real-world applications to improve Millennium enterprise systems
- Build, test, deploy and maintain production systems and applications which transform disparate data sources to generate accurate unbiased actionable information
- Create ML applications which expedite and optimize enterprise functions and processes to build state of the art satellites
- Train, retrain, and monitor machine learning systems and models as needed
- Construct optimized data pipelines to feed machine learning models
- Collaborate with managers and key stakeholder teams to determine and refine machine learning objectives in support of business use cases
- Extend existing machine learning libraries and frameworks to optimize Millennium specific uses
- Level 3: $121,550 - $178,750
- Millennium Space Systems offers a very competitive benefits package to include medical, dental, vision, and 401k plan
Machine Learning Engineer - El Segundo, CA, United States - Millennium Space Systems, A Boeing Company
Description
Responsibilities
Qualifications
Responsibilities
Benefits
• Create machine learning algorithms, applications and systems
• Solve complex problems using multilayered data sets to extract actionable information that will drive engineering and business decisions across the company
• Leverage knowledge of ML capabilities and applications to apply in real-world applications to improve Millennium enterprise systems
• Build, test, deploy and maintain production systems and applications which transform disparate data sources to generate accurate unbiased actionable information
• Create ML applications which expedite and optimize enterprise functions and processes to build state of the art satellites
• Train, retrain, and monitor machine learning systems and models as needed
• Construct optimized data pipelines to feed machine learning models
• Collaborate with managers and key stakeholder teams to determine and refine machine learning objectives in support of business use cases
• Extend existing machine learning libraries and frameworks to optimize Millennium specific uses
Minimum Qualifications
• 1-3 years' experience building machine learning applications in Python
• Experience with satellite design and manufacturing or of aerospace industry processes
• Excellent communication skills when discussing technical concepts with technical and non-technical colleagues
• Bachelor's degree (or equivalent) in computer science, mathematics, or related field Preferred Qualifications
• 1-3 years of experience as a Machine Learning Engineer in an engineering or manufacturing environment
• In-depth knowledge of Python and machine learning frameworks, like Keras or PyTorch
• Experience with data structures, data modeling, and software architecture
• Experience understanding functional objectives and deliver application solutions Summary Pay-Range
• Level 1: $75,650 - $111,250
• Level 2: $96,900 - $142, 500
• Level 3: $121,550 - $178,750 Benefits and Perks Millennium Space Systems offers a very competitive benefits package to include medical, dental, vision, and 401k plan. Before applying, please note: Millennium is DDTC-registered, ITAR-compliant Company. This position is located at a facility that requires special access. Applicants MUST be U.S. citizens and eligible for a security clearance. Additionally, applicants must be willing to apply for and maintain a security clearance. We are proud to be an Affirmative Action/Equal Opportunity Employer. We encourage veterans, disabled veterans and disabled individuals to apply for any open position for which they feel they are qualified. Applicant Privacy Policy Mandatory Security Clearance and Access Process Disqualifying Criteria
Company information
From missile warning to advanced national security space missions, Millennium rapidly delivers affordable prototype and constellation solutions across orbits. Critical space systems have to work the first time, every time. And, our customers need them fast.That's what we do.
Technology, Aerospace, Defense, Satellite Manufacturing, Space Systems
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