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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: SaplingSanta Monica, CA, United States
Job Type:
Regular
Machine Learning Engineer
Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from a variety of domains. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models. The successful candidate will have a strong background in machine learning, including a mathematical, conceptual, and computational understanding of deep learning algorithms and architectures. The successful candidate will also have experience training and fine-tuning models and have experience building machine learning pipelines that leverage LLMs and other foundation models.
Basic Qualifications
Strong knowledge of deep learning and generative artificial intelligence
High-level proficiency in Python
Experience in TensorFlow and/or PyTorch
Experience with LangChain, LlamaIndex, or similar frameworks
Experience with techniques like fine-tuning and retrieval augmented generation
Background in natural language processing algorithms
Cloud computing experience
Experience At least 2 years of relevant experience required. At least 5 years of relevant experience preferred.
At least 1 year of experience in generative AI required.
Education BA/BS in Computer Science, Engineering, Statistics, or related quantitative field required.
MA/MS in Computer Science, Engineering, Statistics, or related quantitative field strongly preferred.
Security Clearance
Ability to obtain and maintain at least a Secret U.S. government security clearance is required. U.S. citizenship is required for a U.S. government security clearance.
Coding Sample Required Applicants will be required to provide Code sample(s) -related work uploaded as a writing sample.
Location
Santa Monica, Washington D.C., or Pittsburgh
Salary Range
Level II: $85,700 - $127,500
Level III: $100,100 - $152,400
Level IV: $117,700 - $179,700
Level V: $147,000 - $224,000
RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity. Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.
Equal Opportunity Employer: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet
Machine Learning Engineer jobs in Santa Monica, CA, United States
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