105 software engineer machine learning jobs found in San Francisco, CA

Job Description: Senior Software Engineer, Machine Learning and Intelligence Mountain View, CA, US Description We are revolutionizing the way developers test, monitor and optimize their applications. The company is building a first-of-its-kind global mobile device cloud platform that allows apps to instantaneously run on real devices across global mobile carrier networks. We provides powerful, actionable, data which pinpoint any problems in the app and enable developers to fix these issue before launch. We integrates seamlessly with your development workflow and requires no changes to your app. Our mobile platform is now in 80 countries and 140 cities worldwide, supporting over 2,000 cellular networks and over 22,000 device SKUs. Using our service, developers can launch products with the confidence that their applications will work in all of the conditions that their users will experience. We are funded by Google Ventures, Nexus Venture Partners, SV Angel, Danhua Capital, Webb...

Job Description: Software Engineer, Machine Learning San Francisco, CA, US Description We are the leading performance marketing platform for in-app video ads. Advertisers depend on company's creative and LTV optimization technologies to reach and acquire high-value users worldwide. Top publishers rely on our company to generate revenue with engaging video ads that enhance the user experience. Engineering here: Our goal is to deliver the best Ad experience to our users. Because of this, even tiny improvements to our Ad recommendation models have a tremendous positive impact. Therefore, we tend to push Machine Learning to its limit as few tech companies do. If you’re a hardcore Software Engineer with a love for Machine Learning and the following looks like fun to you, we’d love to chat: A large scale Machine Learning infrastructure responsible for delivering 10s of thousands of Ad recommendations every second with a maximum latency of 30ms. Halving computational time of already...

Job Description: Software Engineer, Machine Learning and Artificial Intelligence Mountain View, CA, US We are looking for a smart, driven engineer who’s fascinated by the latest developments in ML/AI and is looking for the best areas to apply them. You’ll work on a small dynamic team to design and implement state of the art deep learning techniques for Mor products. We have the unique opportunity to gather large, proprietary datasets from multiple industries where critical real-world problems have been identified. It will be you and your team’s job to turn this data into automated solutions. YOU WILL Develop solutions for real world computer vision problems Work with the product team to come up with innovative ways to collect very large data sets for training AI systems or otherwise generating equivalent synthetic data Find the optimal balance between doing longer term research and applying research results to production code Research, develop, maintain and build...

Job Description: Software Engineer (Machine Learning) San Francisco, CA, US Description 1-2 years machine learning experience on a system which is in production Strong programming and analysis skills Graduate level coursework in machine learning a big plus Please submit your resume Kris Young Account Director BHO Tech San Jose, San Francisco CA Phone: (866) 816-1615 x 823 kris@bhotech.com www.bhotech.com

Job Description: Sr. Software Engineer- Machine Learning Sunnyvale, CA, US Description The predictive marketing cloud, helps marketers understand and engage their customers in a personalized and omni-channel fashion, aided by predictive analytics on big data. Several top brands use our brand to reap the rewards and gain customer loyalty and profits. Just in the past few months, VentureBeat, FOX news, Gartner and Techcrunch raved about us. We are backed by top VCs in the valley - Sequoia and Mayfield. Job Description We looking for smart, motivated machine learners to join our engineering team working on our next generation big data analytics product. The product is built on the latest big data and frontend technologies and imports, cleans and analyzes billions of events a month across our customers like Shazam and FCUK?. This is a great opportunity for a developer to join a hot, fast-growing startup, working with smart, knowledgeable engineers and have a direct impact on...

Job Description: Senior Software Engineer (Machine Learning) Palo Alto · Full Time Job Description We are successful entrepreneurs building another startup in downtown Palo Alto. Our company name is S8, Inc., which stands for startup #8, and is a tribute to a previous startup. We are passionate about building great, customer-centric, elegant technology products and services, and are looking for amazing people who share this passion. We're not publicly broadcasting exactly what we're up to, but if you're interested in mobile, messaging and/or machine learning, we're working on something big, and both customers and investors seem to agree. We’re happy to discuss the details with you in person. Your colleagues would describe you as the ultimate team player who is passionate, fun to work with, and unafraid to reach for greatness. You know a well-designed product when you see one (or design one), and you love making your customer happy and successful. You know startups because...

The Team Data@our team has brilliant software engineers who have expertise in product engineering, data engineering, machine learning, and in general building cool shit. We process data about hundreds of millions of monthly visitors on our platform to build prediction algorithms for user behavior, conversion rate, marketing strategies as well as to make product recommendations. We use a mix of open source and home grown tools in a hybrid on-premise and cloud environment to do data magic.   The Job   A data junkie who dreams about and builds cool data projects during your spare time and is obsessed with data quality. If that describes you, come join the Data@our team where you will build and deploy online analytical models that would solve particular problems within various business functions, including but not limited to, marketing, growth, customer success, finance, platform and infrastructure, to name a few. You will also build the data architecture, infrastructure,...

Description We are seeking machine learning engineers to join our engineering team. The ideal candidate will have both a machine learning background and software engineering skills. Industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, etc. will be highly desirable. The position will involve taking these skills and experiences and applying them to the fraud domain to combat online transaction fraud and make the world of e-commerce a better place. Responsibilities Develop classifiers and tools leveraging machine learning, data regression, and rules-based models Develop tools and system for model comparison and A/B testing Suggest, identify and synthesize requirements and create effective feature roadmap Apply expert software development skills to a wide range of ML-related coding projects Minimum Qualifications MS degree in Computer Science or related quantitative field...

Explore, design and build robust ML classifiers to detect Phishing attacks and Malware. Mine our large data-feeds to gain insights that can be used to flag malicious behaviors. Build Software to process large scale data systems in both online/streaming and offline/batch fashions. Work very closely with the product engineers who build the core of our solution to enhance and build new features. Requirements: BS/MS in Computer Science or equivalent practical experience. 3-5 years of experience working with big data and cloud services (Amazon, Google). Strong background working with machine learning methods and experience in implementing and extending ML algorithms. Experience developing data infrastructure and tools and familiarity with current large-scale data processing technologies. Strong software engineering skills and substantial expertise in one of Python, Java, Scala or C/C++. Flexible prototyping skills to quickly create working ML solutions....

DESCRIPTION We are the growth marketing platform that powers true omni-channel relevance at scale. Our mission is enabling B2C marketers to leverage their customer data in real-time to create relevant, personalized messages across all channels. We know this space well: our product team built the growth systems that powered Twitters early success.  We've raised over $30M from investors like Index Ventures and CRV, and companies like Zillow, DoorDash, Yelp, and Box rely on us to captivate their millions of users. We recently passed the 100 employee mark and weve been in the top 20 companies on the SaaS 1000, for 3 quarters in a row. Its a very exciting time to join the team!  We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be building end-to-end Machine Learning systems, and have autonomy to design and build the systems and models that power our ML products. Youll also get to...

Leverage a dataset consisting of hundreds of millions of user actions a day to model, analyze and predict user behavior to not only create incredible gameplay experiences but help people change their lives with games based in the real world. Qualifications PhD in Computer Science with a thesis in machine learning, or thesis grounded in machine learning techniques in other engineering or science fields. Repeated experience analyzing and creating empirically verifiable models based on real-world data using multiple approaches. Join the team! Our mission is to use emerging technology to create experiences in the real world. We build products that inspire outdoor exploration, exercise, and face-to-face social interaction.  Originally formed at Google in 2010, we became an independent company with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. We build games that get people outside and exploring. We enable our players...

Job Description Our team is looking for a mission-oriented machine learning engineer excited about time-series analysis, computer vision, and production model deployment. Responsibilities - Train deep models on large time-series and image datasets  - Build streaming data pipelines for online and batch predictions  - Implement, deploy, and scale the leading edge of ML research  - Work with our talented team and early customers to guide technical direction  - Define team best practices, with the potential for leadership opportunities Our stack - Modeling: Tensorflow, Keras, Scikit-learn, Spark  - Deployment: Go, Kubernetes, GCP A great fit - Has some professional experience with training and deploying ML models (3+ years)  - Desires working on hard problems at all levels of the stack  - Excited about combating online abuse and building the future of data products  - Is a great team player who treats everyone with respect Skills...

We think Machine Learning is going to play an important role in helping us achieve its mission of growing and sharing the world's knowledge. We have tens of Machine Learning models in production powering various product features. We use a variety of algorithms — everything from linear models to decision trees and deep neural networks. Our production models operate at a huge scale and help over a hundred million people using us every month. We want to empower all ML engineers with us to be as impactful as they can be in solving different ML problems at scale. To that end, we are looking for engineers to help us build our company-wide ML development platform. In this role, you will be the part of a small team solving very interesting technical problems at the intersection of various exciting domains like Machine Learning, Distributed Systems and High Performance Computing. Your work will have an enormous impact on our long-term success. Responsibilities: Build and...

We are solving one of the digital worlds most fundamental problems: Helping people instantly find what they need when they need to find it. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty  The machine learning team is responsible for the data science modules that power all the products of the company, including Analytics, Search Relevance, User Personalization, Recommendation and Content Intelligence. This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery.  The enormous amounts of data generated by users is an advantage as well as a challenge with us. We process data from 100s of customers, generating about 500 million customer interactions per day that drive billions of dollars of revenue. We have...

About Us We are  the leading business payments network, with over 2.5 million members paying and getting paid over $50 billion per year. We  save companies more than 50% of the time typically spent on financial back-office operations by automating end-to-end processes.  We  help businesses connect and do business by tying together finance and accounting programs, banks, customers, vendors, accounting professionals, and documents. The company is the choice of 4 of the top 10 U.S. banks; leading accounting software providers QuickBooks Online and Xero; and over 50 percent of the top 100 U.S. accounting firms. It is the only business payments solution partnered with the American Institute of CPAs (AICPA). The recipient of more than 70 awards,  we  proudly received multiple PC Magazine's Editor's Choice Awards and CEO Rene Lacerte was recently recognized as an E&Y Entrepreneur of the Year. Mission: We are looking for a senior of staff level backend engineer to...

Senior Software Engineer - Machine Learning We are seeking world-class machine learning experts to join our engineering team. You will be working with a team of talented engineers and researchers to develop core machine learning algorithms for improving the unique user experience available only with us. You will have tons of responsibility, freedom and an opportunity to have a direct and immediate impact on company growth. We would love to talk to you if you are passionate about helping our users achieve more matches, communicate more effectively, and create more love at a truly global scale. This is a full-time position based in our offices in Palo Alto, CA and Los Angeles, CA. In this Machine Learning role, you will: Evolve existing machine learning pipelines and systems in production Design and implement machine learning algorithms for recommendation and personalization Develop machine learning models to derive insights and improve product iterations Create...

Our AI/Machine Learning Engineers: Build and enhance tools for the Data Science team to mine data at scale Enable the integration of Machine Learning models in our Platform Ensure the scalability of Machine Learning analytics across millions of networked sensors Work with other engineering teams to integrate our streaming, batch, or ad-hoc analysis algorithms into our suite of applications Develop generalizable APIs so other engineers can use our work without needing to be a machine learning expert As a senior member of the team, you will also be expected to: Work closely with data scientists in early phases of products development to understand their research, develop new tools, and ensure smooth integration and scalability of data science algorithms Define and lead the development of longer-term Platform capabilities Training and mentoring of other members of the team Qualified candidates will have excellent programming and algorithmic skills and a...

Every day, we analyze millions of URLs to deliver the top articles that matter in near-real time to millions of users around the world. The Data Science and Machine Learning team work on a range of classification and optimization problems, e.g. search ranking, text/sentiment classification, and/or collaborative filtering/recommendation, to deliver the world's quality information to the people who need it.  Responsibilities Write server-side production code for applications that are robust and high-volume Research and solve various technical problems, including information extraction from unstructured text, categorization, and de-duplication Build ranking algorithms for news articles Develop internal analytics tools Rapid prototyping Requirements Minimum Qualifications Over 3 years of solid work experience in natural language processing, classification, search, and/or recommender systems Expert coding abilities in multiple programming languages (e.g....

You will take on an important role within the BioAssay Express project, which is the first drug discovery platform for assay informatics. You will be using multiple front- and back-end technologies (e.g. Java, TypeScript/JavaScript, Apache Tomcat, jQuery, OpenNLP, among others) to extend and improve an enterprise web application. Primary tasks include: Improving the natural language processing and machine learning technology for predicting assay annotations from existing information Maintaining the underlying ontology-based annotation system for integration with the greater semantic web Designing a quality control infrastructure to validate new versions of the platform and releasing to multiple sites in real time Refining the user interface in response to feedback from scientists Familiarity with the underlying technologies is desirable but not essential: you must be able to learn quickly, and have a passion for making a difference to modern drug discovery. To...

Want to revolutionize finance? We are a financial technology company changing consumer lending. We are a team of math nerds, designers, computer geeks and innovators going after a huge market by creating a company built on flawless design, powerful software, advanced data science and an incredible client experience. We believe that if we fundamentally re-engineered the experience of borrowing money, it would look and feel completely different to how it does today.  As a  Software Engineer  on the Decide squad, you'll report to the Director of Engineering and help us build the platform used by the company to underwrite and price every loan application that comes through our doors.  We use Node.js and Docker to implement almost all our projects with a touch of React or Angular for UI work. Sample Projects: Integrate data science and machine learning models to automate loan decisions Implement UIs to help human-d verification Integrate against third-party APIs...