51 machine learning engineer jobs found in Mountain View, CA

Job Description: Machine Learning Engineer Palo Alto, San Francisco, San Mateo · Full Time Early-stage startup predicting user behavior via innovations in machine learning / big data / marketing personalization Job Description OVERVIEW We are an early-stage startup innovating in distributed systems and machine learning, with a mission to build a self-service AI to predict any user behavior. Our goal is to help companies automatically predict their most important user outcomes - propensity to buy and churn. We’re building a self-service platform to automatically connect disparate datasets across millions of users, extract machine learning features across billions of events, and produce predictive insights to optimize a company’s downstream marketing operations. We’re led by a team from Google and Optimizely, and well funded by investors in Dropbox, Optimizely, and AppDynamics. We’re in the earliest stages, but already have mid-market & public customers, pushing the...

Job Description: Machine Learning Engineer (Recommendation/Text/Deep Learning) San Francisco, CA, US Description Machine learning is at the core of our company's mission to make the world’s laws free and understandable. We're looking for experienced Machine Learning Engineers to help us build the next generation of professional legal research tools. The data team is developing groundbreaking technology for legal document recommendation and search. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you. Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more. Our team works primarily in Scala, Java, and Python. We're looking for people who love taking ownership of data products and will enjoy bringing an important ML project all the way...

Our Senior Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction. Skills and Experience: Were not looking for good; We are on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. Requirements: Minimum 7 years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clustering Demonstrable expertise in MATLAB Proficient knowledge of and experience with AI systems Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc. Fluency in English and, at least, 1 other language Masters or PhD in Computer Science in Machine Learning or related field preferred Proficiency in Machine...

We are a life sciences company whose mission is to detect cancer early when it can be cured. We are using the power of high-intensity sequencing, population-scale clinical studies, and state of the art computer science and data science to enhance the scientific understanding of cancer biology and develop blood tests for early-stage cancer detection. We are seeking passionate and talented individuals to join us in realizing our mission, which has the potential to dramatically reduce the global burden of cancer. As a machine learning engineer, you will analyze some of the largest, richest biological datasets in the world to find biological signals and patterns. Your rigorous analysis will guide our assays, bioinformatic pipelines, and product strategies. Working closely with scientists, clinicians, and engineers, you will develop new ways to pull signals out of ultra-deep sequencing data and identify cancer at its earliest stages. The ideal candidate will have some background or...

We are an innovative fast-growing beauty company headquartered in San Mateo, CA. We are looking for a Machine Learning Engineer to join our personalization team. You would be responsible for developing custom machine learning models from our comprehensive data sets, and guiding how those models impact our growing member base of several million. The ideal candidate is hands-on and thrives in a fluid, high-performance entrepreneurial environment with a passion for learning and innovating. Must-Have Qualifications: Strong knowledge of supervised and unsupervised machine learning methods Successful track record of deploying machine learned models into real-world settings Working knowledge of open source machine learning libraries, e.g. Scikit-learn, MLlib, TensorFlow, etc. Masters or Ph.D. in Computer Science, Computer Engineering, Mathematics, or equivalent field Strong overall programming ability Strong communication skills Nice-to-Have Qualifications:...

We are a data-driven financial technology company. In our quest to build a better financial world, one of our key goals is to revolutionize the credit system by creating a more holistic, accurate, and democratic alternative to existing credit scoring methods. This is what our Machine Learning Engineers work on. They build—from prototype through to production—the credit and fraud models that decide who we lend to. The Machine Learning Engineer is a new position within the Data Science team that will focus on developing production services to support the models and allow them to make decisions in real time. WHAT YOU'LL DO Build production fraud and credit machine learning models; your models will decide who we lend to in real time. Develop the core decisioning service supporting our machine learning models in production. Work closely with our engineering team to improve our machine learning infrastructure and data quality. Conduct ad-hoc data analyses; your analyses...

We are building the future of hospitality. With us, we're reimagining travel, hospitality and ultimately how cities are experienced. We started a little over 3 years ago and is now active in 13 markets and 1100+ locations. We have over 200 employees and headquartered in San Francisco. We are building the world's first deconstructed hotel - with apartments, houses, condos, villas, and lofts that you can book at a moment's notice. Each location is one-of-a-kind and chosen by us. Typically, we've selected a unique and explorable neighborhood and equip our guest with Neighborhood Guides full of wisdom about the best places to eat, drink, shop, and relax. Our units are designed by our talented interior designers, and serviced by us to our exact standards: 24/7 concierge service, Wi-Fi, professionally cleaned homes, comfortable beds, crisp linens, and over 200 other standards. Its travel made tranquil. Backed by some of the most well-regarded VCs in the Bay Area, we are building...

Welcome to the company. We believe in using space to help life on Earth. We design, build, and operate the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to decision-makers in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.  Customers and users across the globe use our data and machine learning-powered analytics to develop new technologies, drive revenue, power research, and solve our worlds toughest challenges.  As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.  We have a people-centric approach toward culture and community and we are iterating in a way that puts our team members first and prepares our company for growth.  Join us and be a...

Were on a mission to help get everyone a job they love. Find the job you love here!  ABOUT US: We believe we are entering a new era of work, where people are not looking for jobs they are seeking opportunities. Focusing on in-demand technology roles, we intelligently match outstanding people to full-time and freelance opportunities at the world's most innovative companies. By taking the pain out of the job search, we help people build purpose-driven careers and businesses find the talent to fulfill their missions. Ultimately, we want to empower everyone to find and do their best work, from one opportunity to the next.  We are headquartered in San Francisco, with offices in cities across North America, Europe, Asia and Australia, and plans to expand into new geographies, industries and job categories.  ABOUT THE ROLE: We are looking for a Senior Machine Learning Engineer to join our Data Science and Relevance team to build new products using machine learning...

We are a full-stack quantum computing company based in Berkeley and Fremont, CA. The Machine Learning Engineer will be responsible for researching and developing machine learning techniques to augment our hybrid classical/quantum computing stack to solve problems using quantum computers. Key Responsibilities Perform research in the intersection of machine learning and quantum computing, working closely with both applications researchers and engineers Develop production-quality software applying learned techniques, using real quantum computers Integrate existing machine learning frameworks and tools into our quantum computing stack About You Expertise in the area of machine learning and optimization, both theoretical and practical Experience working with software through the full development lifecycle Deep knowledge of several key frameworks for machine learning, such as TensorFlow, CNTK, Theano, Torch, and Keras Strong mathematical and quantitative reasoning...

We are a full-stack deep learning company solving visual intelligence problems. Our flagship platform, Hive, consists of Hive Data—100k distributed workers performing data labeling tasks—and Hive Enterprise, where we build vertical-changing applications leveraging computer vision and deep learning. We're working with some of the world's largest technology and content businesses to change the way they analyze unstructured image and video data through machine learning. We are funded by leading investors like Peter Thiel (Founders Fund), General Catalyst, and Formation 8. We have ~100 people globally, based in our San Francisco and Delhi offices. In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms...

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...

The Company a tech company changing the way the world reads a membership that gives users access to the worlds largest online library of books, audiobooks, sheet music, news, and magazines. We value trying new things, craftsmanship, being an open book, and the people that make our team great.  Join us and build something meaningful.  About the team We believe in continuously improving our skills and codebase, work/life balance, and doing things right over doing them fast. Were looking for engineers who share this view and are excited about writing quality code, trying new technologies, and playing well with others.  We are looking for a passionate and talented engineer to develop algorithms that will ensure that every search leads to what our readers are looking for and provide the best possible personalized recommendations that are the soul and center of the company experience.  You will: conduct applied research by investigating, conceptualizing,...

With us, we're working to bring data access to everyone. As a member of our machine learning team, your work will bring ML into new problem domains, from nonprofits in the developing world to Fortune 100 enterprise companies. We believe that ML has a lot of potential beyond ad click optimization and fraud detection, and we're looking for talented people to join our mission.  We need people to help us solve problems like ultra-accurate handwriting recognition, fine-grained classification of documents, and much more. Our ever-growing supply of real-world data and our human-in-the-loop engine help us build and iterate on ideas quickly. You'll be responsible for the full machine learning lifecycle, from data curation to model development and iteration to deployment in production.  QUALIFICATIONS Strong background in machine learning, including fundamental concepts and familiarity with best practices  PhD in machine learning, computer science, or statistics/mathematics...

We are a fast-moving startup building an autonomous semi-truck. We closed a $15M Series A in July and are expanding our engineering team. We are a small group with very ambitious goals and are looking for engineers interested in the autonomous vehicle space and who want to be part of an early-stage startup. You will be joining a small machine learning team and play a large role in developing our object detection, prediction and planning systems. Responsibilities: Design, train and evaluate various machine learning systems for use in object detection, path planning, and localization Analyze huge amounts of data and create algorithms to provide the best-possible driving Test algorithms in simulation and real world environments Requirements: BS, MS/PhD in Robotics/related field or Equivalent Practical experience Excellent C/C++ programming and software design skills Familiar with TensorFlow or similar ( Caffe, Theano, Pylearn 2, Torch ) Experience...

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...

Play a mission-critical role in designing and building the risk engine that powers our transactions. Were looking for someone with the experience, creativity, and passion for producing world-class technology. Companies and consumers alike will rely heavily on what you build, and youll have a ton of trust and responsibility. If challenges excite you, and youre ready for a large one, let us know. You'll... Build production fraud models; your models will be the engine that powers all online commerce through us  Conduct data analyses; your analyses will determine which policies we adopt and help inform strategic growth We're looking for someone with... Passion and drive to make improve e-commerce businesses Engineering background, with 4+ years of data science experience Deep understanding of and experience with data analysis Strong knowledge of statistics Expert knowledge of a scientific computing language (R or Python) and SQL Strong ability to communicate...

The Machine Learning Tech Lead will work with our AI and ML team to drive the technical vision for our AI pipeline infrastructure. This role will drive the future of our AI systems and applications. We are looking for someone with 1) experience deploying large-scale, production-ready machine learning systems with a large user base and 2) expertise in state-of-the-art machine learning and deep learning algorithms.   We are looking for someone excited about our mission - building smart, flying robots. We focus on applied AI and work with our clients’ top innovation teams (large engineering, construction, and infrastructure firms) - on use cases that apply across millions of deployments and job sites. We have worked with these global innovation partners for years in spreading our high precision drone mapping technology at scale across the world. Some of these partners include Komatsu, Bechtel, AT&T, and Goldwind.   AI with us: Our mission is to build smart, flying robots....

About Us We are a health technology company bringing accurate, accessible and non-invasive disease screenings to you and your doctor to proactively treat cancer and other diseases at their most manageable stages. We are a place where you can do your best, most meaningful work, and contribute to a whole new way of thinking about curing cancer. Its a data-driven, diverse company at the intersection of biology, technology and medicine. Our Mission Equip you and your family with knowledge and tools to maintain a healthier life and prevent disease. About the Role As a machine learning engineer, you will be an integral part of our R&D team, working in close collaboration with computational biologists and software engineers to develop and deploy the statistical models driving our mission of early detection and intervention in human disease. Responsibilities Collaborate within an interdisciplinary technical team to develop your science into our product...

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...