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AeroVironment
, CA, United States
Worker Type Regular Job Description Summary The Machine Learning Engineer I will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused des
Job Source: AeroVironmentPlayStation
Los Angeles, CA, United States
Why PlayStation? PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and
Job Source: PlayStationZefr
, CA, United States
What We Do Zefr is the global leader in brand suitability targeting and measurement across the world’s largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alli
Job Source: ZefrAcceler8 Talent
, CA, United States
About Us At our dynamic startup, we're at the forefront of the rapidly evolving field of data-centric AI. Backed by a team of prominent researchers from MIT, we utilize the latest advancements in technology to create cutting-edge tools that enable users to diagnose and resolve issues in their datasets effectively. Our modern tech stack ensures that
Job Source: Acceler8 TalentDeepRec.ai
, CA, United States
Job Title: Machine Learning Engineer Location: San Francisco Salary: 240K + Equity Visa: Sponsorship Available Responsibilities: Work with large video datasets to develop and implement machine learning models. Optimize and debug neural networks for efficient performance. Scale up training processes to handle large datasets effectively. Process
Job Source: DeepRec.aiBioTalent
, CA, United States
Machine Learning Engineer - Revolutionize MRI Scanning Shape the future of medical imaging with cutting-edge machine learning and computer vision! We're on a mission to unlock the full potential of MRI scanning by simplifying the process and increasing its power. Our FDA-cleared platform automates MRI data collection, boosting efficiency and consis
Job Source: BioTalentGauntlet
Los Angeles, CA, United States
Gauntlet is DeFi’s risk manager. We drive capital efficiency while maintaining economic safety for some of the largest crypto protocols with our simulations. Gauntlet manages risk and incentives for over $9 Billion in assets. Gauntlet continuously publishes cutting-edge research, making us the most cited peer-reviewed articles in the DeFi industry.
Job Source: GauntletSapling
Los Angeles, CA, United States
ML/NLP/deep learning expertise. Strong engineering background with end-to-end ownership of projects. You will: Have critical impact on Sapling growing its set of enterprise customers. Build components of the data, pre-processing, training, evaluation, and guardrail pipeline for Transformer models. Work closely with the founders. Have a flexibl
Job Source: SaplingEl Segundo, CA, United States
Company Overview
Millennium Space Systems, A Boeing Company delivers affordable, high-performance space systems for exacting customers. At Millennium, you will be part of a close-knit team working on exciting technological problems. We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for advancement based on excellence. Superstars are welcome.
At Millennium, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity, and inclusion are core values. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Job Summary
Our Engineering Analysis team is seeking an experienced Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. These systems will enable faster design and production of cutting-edge satellite technology.
The ideal candidate will be skilled in using statistics and programming to assess, analyze, and organize large amounts of data for actionable use. 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.
This position’s internal job code is Engineering Data Scientist. Our team is currently hiring a level 1 – 3.
Job Responsibilities 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.
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Mandatory Security Clearance and Access Process Disqualifying Criteria
Machine Learning Engineer jobs in El Segundo, CA, United States
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