Machine learning engineer Jobs in Long Beach, CA
Last updated: 8 hours ago
Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security.
Epirus' flagship product, Leonidas, is a software-defined sy...Show moreLast updated: 9 days ago
Role : Machine Learning Engineer Location : SFO, CA (Hybrid) Duration : 1+ year ...Show moreLast updated: 5 days ago
We are looking for an exceptionally talented Machine Learning Engineer to be part of a fast paced team that uses Machine Learning to build innovative products for organizations to easily discover c...Show moreLast updated: 15 days ago
The Staff Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users l...Show moreLast updated: 30+ days ago
Machine Learning Engineer Experience .Production Deployment and Model Engineering : Proven experience in deploying and maintaining production-grade machine learning models, with real-time inferen...Show moreLast updated: 30+ days ago
Crunchbase helps over 75 million people around the world connect with the companies and people that matter.Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportuni...Show moreLast updated: 30+ days ago
Randstad - [Production Operator / Machinist] As a Machine Operator at Randstad, you'll : Operate equipment and / or second-operation machines.
Perform various tasks, such as inspecting, trimming, test...Show moreLast updated: 11 hours ago
White Cap - WCJR-023690 [Production Operator / Machinist] As a Machine Operator at White Cap, you'll : Operate machinery to produce high-quality products.
Monitor equipment for any malfunctions and ...Show moreLast updated: 11 hours ago
Spherion - JobID : 44772420 [Production Operator / Machinist] As a Machine Operator at Spherion, you'll : Operate machinery to produce high-quality products.
Monitor equipment for any malfunctions or...Show moreLast updated: 11 hours ago
It all started with an idea at Block in 2013.Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, dev...Show moreLast updated: 30+ days ago
Conviva is the first and best place to go to understand and optimize digital customer experiences.Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing ...Show moreLast updated: 8 hours ago
Angi® is transforming the home services industry, creating an environment for homeowners, service professionals and employees to feel right at “home.
For most home maintenance needs, our platform ma...Show moreLast updated: 30+ days ago
Machine Learning Engineer (MLE), Artificial Intelligence.Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone.
We are a company filled with...Show moreLast updated: 30+ days ago
Our company is a fast-growing global entertainment and technology company that is making high-end products for the content creator community.
Our flagship platform is a major player in the live-stre...Show moreLast updated: 4 days ago
Identify advertiser problems, analyze existing data to highlight the problem and opportunity size and propose and implement novel solutions.
Build and improve machine learning models and backend sys...Show moreLast updated: 30+ days ago
Collaborate on the continued improvement of CoStar’s cloud-based machine learning environment.Design, build, test and deploy scalable, reusable, and maintainable models that handle large amounts of...Show moreLast updated: 30+ days ago
- Promoted
Senior Machine Learning Engineer
EpirusTorrance, CA, United States$170,500.00–$201,500.00 yearly
Full-time
Machine Learning Engineer
Conquest Tech Solutions IncCA, United StatesFull-time +2
Quick Apply
- Promoted
Sr Staff Machine Learning Engineer DLP
Palo Alto NetworksSanta Clara County, California, USAFull-time
Staff Machine Learning Engineer
Home DepotCALIFORNIA, US$120,000.00–$190,000.00 yearly
Full-time
Machine Learning Operations Engineer
ProsumRemote, CA, USRemote
Full-time
Quick Apply
Staff Software Engineer - Machine Learning (MLOps)
CrunchbaseCalifornia, United States$200,000.00–$220,000.00 yearly
- Promoted
- New!
MACHINE OPERATOR
RandstadCA, United StatesFull-time
- Promoted
- New!
MACHINE OPERATOR
White CapCA, United StatesFull-time
- Promoted
- New!
MACHINE OPERATOR
SpherionCA, United StatesFull-time
Senior Machine Learning Engineer, Financial Crimes (Cash App)
SquareRemote, CA, US$139,000.00–$208,600.00 yearly
Remote
- Promoted
- New!
SENIOR MANAGER, ENGINEERING - AI / MACHINE LEARNING
ConvivaCA, United States$200,000.00–$300,000.00 yearly
Full-time
Staff Machine Learning Engineer
AngiCalifornia$200,000.00–$280,000.00 yearly
Remote
Machine Learning Engineer (FULLY REMOTE, USA) - 29971
Splunk IncCalifornia, United States$146,400.00–$201,300.00 yearly
Remote
Statistical Methods for Machine Learning I
University of TorontoSt. George, CA DutiesTeaching; setting and invigilating term tests and final examinations; reporting final grades; counseling students; supervising teaching assistant(s).
Duties of this position shall be performed...Show moreLast updated: 12 days ago
- Promoted
Senior Machine Learning Engineer, AdTech
Motion RecruitmentTorrance, CA, United StatesFull-time
Staff Machine Learning Engineer, Ads Intelligence
PinterestRemote, CA, USRemote
Homes.com - Senior Machine Learning Engineer
CoStar GroupCA, Orange County$142,600.00–$230,300.00 yearly
Full-time
Senior Machine Learning Engineer
EpirusTorrance, CA, United States9 days ago
Salary
$170,500.00–$201,500.00 yearly
Job type
- Full-time
Job descriptionBachelor's degree in Electrical Engineering, Computer Science, Mathematics, Statistics, Physics, or a related technical field. Strong foundation in machine learning theory and practice, including architecture selection, feature engineering, training, validation, optimization, and deployment. Understanding of deep learning architectures, such as CNNs, RNNs, Transformers, and GANs, and their application in signal processing, pattern recognition, and optimization. Proficiency in Python programming, with experience in scientific computing libraries such as NumPy, Pandas, Matplotlib, and SciPy for data analysis and visualization. Hands-on experience with one or more ML frameworks, including TensorFlow, PyTorch, Keras, and / or Scikit-learn for deep learning and machine learning model development. Working knowledge of computer science fundamentals, including algorithms, data structures, object-oriented programming (OOP), and software development best practices. Experience working in collaborative, cross-functional environments, engaging with systems engineers, physicists, and software developers to integrate AI solutions into electronic systems. The ability to obtain and maintain a U.S. government-issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Master's or Ph.D. in a related field with research experience in machine learning for electromagnetic modeling, power management, or digital twin simulations. Basic knowledge of RF systems and testing equipment, such as oscilloscopes, spectrum analyzers, vector network analyzers, and RF amplifiers, to support AI-driven signal processing applications. Experience with optimization techniques (e.g., genetic algorithms, reinforcement learning, convex optimization, Bayesian methods) for real-time control and AI-driven system enhancements. Familiarity with digital twin simulation concepts, including real-time predictive modeling and AI-driven system optimizations. Knowledge of Linux-based systems and communication with in-house clusters. Experience with cloud computing platforms (AWS, Azure, or GCP) and edge computing for AI deployment in real-time embedded systems. Contributions to machine learning research (published papers, patents, open-source contributions) in relevant fields. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
About Epirus
Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security. Epirus' flagship product, Leonidas, is a software-defined system built using intelligent power management techniques which allow power-hungry systems to do more with less.
Job Summary : Join our team to pioneer cutting-edge machine learning and deep learning solutions that will revolutionize the future of advanced electronic systems. In this role, you will tackle complex challenges in AI-driven power management, digital twin simulations, and multi-domain data analysis, driving next-generation innovation. Collaborating with world-class engineers and researchers, you will develop intelligent models that push the boundaries of real-time decision-making and electronic system intelligence. By leveraging state-of-the-art deep learning architectures and advanced optimization techniques, you will shape the future of high-performance electronic systems and intelligent automation.
Responsibilities :
- Develop and deploy models to optimize performance, automation, and intelligence in next-generation electronic systems, including intelligent power management and real-time decision-making in embedded systems.
- Develop and implement data processing techniques to enhance data quality in advanced electronic applications.
- Apply machine learning models to digital twin simulations for real-time predictive analytics and performance optimization of advanced electronic systems.
- Collaborate with System Engineers in a laboratory environment to develop and refine data collection pipelines and frameworks for training AI models.
- Work closely with cross-functional teams (e.g., software engineers, hardware developers, researchers) to integrate deep learning models into production environments.
- Develop intuitive visualization tools to facilitate AI-assisted decision-making for stakeholders.
- Deploy machine learning models on cloud and edge computing platforms to enable real-time AI processing in distributed systems.
- Stay ahead of emerging AI trends and advancements, continuously refining methodologies to enhance system intelligence and innovation.
Basic Qualifications :
Preferred Skills and Experience :
ITAR REQUIREMENTS :
At Epirus, you'll work with technical peers and great people-and get first crack at some of the defining technology challenges of our time. Here, "impossible" is just a challenge. We're a diverse, fast-growing team of change-makers fueling the future of energy with revolutionary solutions. Join us and rewrite the rules.
As required by the Equal Pay Transparency Act, Epirus provides a reasonable range of minimum compensation for roles that may be hired. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.
For the state of California only, the range of starting pay for this role is :
170,500-$201,500 USD