Machine Learning Jobs in Los Angeles

12

Machine Learning Engineer, Spam and Abuse

Snap Inc.
Greater LA Area
13 hours ago
+47
We’re looking for a Machine Learning Engineer to join Team Snapchat! As a member of the Spam and Abuse team, you will prototype, develop and productionize machine learning solutions to detect and prevent abusive behavior on our platform. Working from our Los Angeles, CA or Mountain View, CA office, you will be tasked with solving interesting technical challenges, such as building state-of-the-art ML models to fight spam, architecting and deploying ML infrastructure to handle our scale and making our platform safe and secure for millions of Snapchat users.

Software Engineer, Machine Learning

Software Engineer, Android

Research Engineer, Machine Learning

Data Scientist

Fandango
Greater LA Area
1 day ago
+55
·       Work with business owners and data architects to formulate hypothesis and discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and customer experience. ·       Apply data mining and/or machine learning techniques, doing statistical analysis, and build high quality robust forecasting, prediction and recommendation systems integrated with our products. ·       Gather data insights related to user behavior, product usage, audience segmentation, social media, marketing response, quality of services, and media consumption to drive business decisions. ·       Select features, build and optimize classifiers, recommendation systems, predictive scoring models and forecasting systems using machine learning techniques, data mining using state-of-the-art methods. ·       Extend/augment company’s data with third party public/proprietary data sources of information when needed. ·       Enhance data collection procedures to include information that is relevant for building analytic systems. ·       Process, cleanse, and verify the integrity of data used for analysis. Create automated anomaly detection systems and constant tracking of its performance. ·       Perform ad-hoc analysis and presenting results and make recommendations in a clear manner to technical and nontechnical audience.

Senior Data Analyst, Patient Engagement

Well Health, Inc.
Greater LA Area
2 days ago
+24
The Data Analyst, Patient Engagement develops key product and business insights for our clients and internal teams, focused on Patient Engagement. In this role, you’ll work directly with Customers, Vendors, and Partners, as well as internal Product, Data Engineering, and Customer Success teams. You will drive WELL’s data-driven analysis of ROI, best practices, and patient experience goals. You will be working with a rich data set drawn from 100s of millions of patient interactions across the United States.

Data Analysis Engineer-New Grad

Factual
Greater LA Area
2 days ago
+14
Our Data team is seeking a Data Analysis Engineer to help us ensure we deliver the highest quality Global Places product in the market. In this role, you will investigate and solve complex data quality and delivery problems. You will acquire new data sources and contribute heavily to our data processing software. You will author specifications for new tools and help manage technical projects. In short, you’ll work on everything from experimental data science to implementing production level code to technical product management.

Senior Software Engineer, Data

sweetgreen
Greater LA Area
1 week ago
+26
Development: The primary objective of the data platform/infra team is to supply data to drive business decisions across the company. Development will consist of ETL pipelines, microservices, data lake/warehouse management and collaboration with the machine learning team to deploy ML based applications.

Applied Data Scientist

Virgin Hyperloop One
Greater LA Area
1 week ago
+35
The Applied Data Scientist will be part of Machine Intelligence & Analytics Department. This team works closely with all other teams to develop, deliver and maintain data driven products and backend analytics platforms for the discovery, interpretation, communication, and exploitation of meaningful patterns in data. In addition, this team will develop and maintain an analytic pipeline for acquisition, storage, and processing data types of interest to feed real-time artificial intelligent system behaviors. The Machine Intelligence & Analytics Department will architect data systems supporting machine learning applications, develop custom toolchains for analysis and exploration, and work with DevOps and IT to host and scale intelligent applications.

Lead Data Scientist

Dave.com
Greater LA Area
1 week ago
+20
As the Lead Data Scientist, you will partner with product management, marketing, technology and engineering teams to elevate user insights, marketing analytics and decision science to the next level by focusing on modeling for machine learning and personalizationUnique problem setSee the impact their work has on our users Autonomy in role to provide direction on how to apply data science to our problems

Sr. Software Engineer, Machine Learning Infrastruc…

Tinder
Greater LA Area
1 week ago
+27
As a Senior Software Engineer in machine learning infrastructures, you collaborate with data infrastructure to architect and build pipeline for massive scale machine learning features, and develop systems to help modeling Tinder applications. You will have tons of responsibility, freedom, and opportunity to have a direct and immediate impact on user satisfaction and company growth. We would love to talk to you if you are interested in helping Tinder users achieve stronger matches, engage more effectively, and create more love, at a truly global scale.

Machine Learning Engineer Manager

Senior Machine Learning Engineer

Beyond Limits
Greater LA Area
1 month ago
+28
Design, train and deliver machine learning solutions to a wide range of datasets: from small datasets to big data, time series to 3D matrices, both unlabeled and labelled. Implement, test and validate new algorithms in a way that can be used by the data science team. Formulate learning algorithms in complex multi-physics systems with diverse data sets. Stay up-to-date with the latest machine learning techniques by reviewing literature, attending conferences, etc. Work in a highly collaborative environment to brainstorm, design, implement and deliver ML solutions to some of the most challenging industrial IOT problems.

Software Engineer - Computer Vision/Machine Learni…

GumGum
Santa Monica
1 month ago
In this role, you will build Machine Learning & Experimentation pipelines to empower gumgum-sports reports generation capabilities. Our team is solving key challenges in operating ML workflows for data collection, deployments, and experimentation at the scale of hundreds of thousands of images per day. Does this interest your creative and development chops? If so, come join our team! Our work is complex and highly visible. We are a small team and the opportunities for you to make an impact are boundless.

Machine Learning Engineer

Laserfiche
Greater LA Area
2 months ago
+19
Laserfiche is looking for a passionate and highly experienced machine learning expert to help build a machine learning team. Your extensive experience in machine learning, statistical modeling, and natural language processing knowledge will play a key role in spearheading the development of shared components which will be used by our global multi-product platform. You will be responsible for building a team and growing a set of engineers to support this mission. You will actively participate in all phases of the software development lifecycle: analysis, technical design, planning development, testing, release and production support. Your team will interact with providing guidance and developing components for several product teams who are integrating machine learning into their products. As the experienced machine learning engineer, you will be provided with challenging opportunities in a diverse, dynamic and energetic team environment while liaising with various businesses.

Online Marketing Analyst (Entry Level)

Advertise Purple
Santa Monica
2 months ago
+19
Examine a campaign's return on investment. Identify new market opportunities. Complete concept-testing for new products. Perform extensive market research. Determine brand perceptions and reputations. Evaluate market penetration. Develop groups and solicit customer feedback. Analyze marketing metrics to identify cause and effect relationships. Identify positive financial outcomes to increase profitability. Create databases and capture market data. Analyze competitors. Assess client's promotional needs. Evaluate demographics, prices, distribution channels, and marketing outlets. Develop sales strategies in tandem with marketing department. Meet with clients to ascertain marketing goals.

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