164 machine learning engineer jobs found in San Francisco, CA

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...

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...

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...

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 make it remarkably easy to book great hotels at amazing last-minute rates on your mobile device, for tonight, tomorrow and beyond. Our mission is to make people feel more alive by delivering the unexpected and we're looking for a Senior Machine Learning Engineer to help do just that. If hotel rooms are the fuel that powers us, data is the oil that makes it fire on all cylinders. Leveraging this data in the right way is what will differentiate us and make it the leading hotel booking app on the planet. That’s where you come in. As the first Machine Learning Engineer on the Engineering team, you'll work closely with executives across Product and Engineering to drive business decisions using data. You'll turn data into insights and insights into personalized features and products that will impact our millions of users. WHAT YOU'LL DO Build out our machine learning platform from its infancy, eliminating redundancy and inefficiency in order to make our marketplace more...

We are looking for a talented, enthusiastic machine learning engineer who knows how production-scale ML systems are built and has experience building them. As one of the first 30 employees, you must feel comfortable working in a fast-paced environment where the solutions aren’t already predefined. Requirements:   * You have at least 3 years of relevant work experience   * Proficiency writing production-quality code, preferably in Scala, Java, or Python   * Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods   * Experience working with huge data sets   * You are authorized to work in the US   * Excellent communication skills   * You are amazingly entrepreneurial   * You want to help build a massive company Nice to haves:   * Experience working with time-series or location data sets   * Experience using Apache Spark to solve production-scale problems   * Experience with AWS Skills Python, Java,...

About the role:   We’re looking for a Machine Learning Engineer to help us transform the construction industry. Our customers are building some of the most amazing construction projects on the planet, and we allow them to be radically more efficient. The Smart Recordset team is at the core of this mission. We’re focused on creating robust, intelligent systems to help our customers unlock the value of their construction data. You’ll work with top-tier colleagues to build flexible solutions that allow our customers to manage this data throughout the lifecycle of their construction projects. About you:   - Be proficient in at least one programming language (Python, Java, C, etc.)   - Have an advanced degree (MS, PhD) in Computer Science, Engineering, Mathematics, Physics, or a related field   - Have a strong grasp of Computer Science fundamentals (data structures, theory basics, etc.)   - Feel at home using a *nix shell and common system utilities (ssh, grep, xargs, tail, ps,...

Job Description: Senior Machine Learning Engineer San Francisco, CA, US Description We are looking for amazing machine learning engineers and data scientists who have a passion for consumer products and want to join an exceptional team that is changing the way people think about travel. We ship code daily, A/B test extensively, and have a primary role in creating the product from inception to implementation. There’s much to do, and you’ll be responsible for making some real cool stuff happen. Be a member of a small team of talented engineers and data scientists and play a major role in shaping an exciting platform that’s changing how people travel. What you'll do Lead development efforts of data features (eg. search rank, dynamic pricing, recommendation engines, ...) Partner closely with data scientists and product managers to develop algorithms and drive key product or modeling decisions Research the best metrics and experiment design to measure models performance...

We are building the future of hospitality. We are 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. It’s travel made tranquil. When you travel with us, you get an authentic local experience plus the comforts of...

We are transforming how we interact with technology using the original interface: the human hand. We are opening up new possibilities for a platform beyond the screen, forging the next generation of VR/AR interfaces, and creating new opportunity in fields as diverse as healthcare, education, music, remote collaboration, and more! By bringing people and computing devices closer together, we offer the opportunity to help bring science fiction to life.   Machine learning is absolutely fundamental to bringing humans and technology closer than ever before. That’s why we’re looking for a machine learning expert to work in a fast-paced startup environment, building scalable features to advance our technology. If you’re a machine learning engineer with strong fundamentals in machine learning algorithms (i.e. neural networks, dimensionality reduction, feature utilization and extraction, and clustering), programming (i.e. Python, MATLAB, and C++), statistics, mathematics, and computer...

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 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 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...

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...

Are you excited by an opportunity to use your Artificial Intelligence and Machine Learning skills to enable billions around the world lead healthier, happier, longer lives! If so, we have a once in a lifetime opportunity for you! We are bringing together the rockstar talent to build a best in class AI team in digital health. Right now, we're looking for a top-notch AI/Machine Learning Engineer to bring virtual care to billions of people globally safely and securely.  About Us We are a World Economic Forum Technology Pioneer, is the world’s first Global Health Practice delivering immediate, world-class healthcare 24/7 from query-to-cure. Through video, voice, and text chat on any mobile device or personal computer, we connect hundreds of millions of people in 174 countries with the most trusted and compassionate health advice from a network of more than 107,000 top doctors. How does that work? You can search the world's largest library (6 billion answers served) of...

Our 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 5 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 Learning open...

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...

Job Description: Machine Learning Engineer Redwood City · Full Time We are opening up the world of health data for the next generation of healthcare applications. Job Description Our consumption of health data is growing at an exponential rate -- as our Data Scientist, you'll make sense of it all. We ingest clinical data (eg: medical history, allergies, test results) from hospitals and labs, and wellness data (eg: physical activity, sleep, nutrition) from devices and apps. Collectively, these data sets create a more detailed understanding of an individuals health than anything else today. The data recorded from these sources are both continuous and discrete. You’ll be responsible for building our deep normalization pipeline, creating medical models, and developing structured APIs with the engineers. This position is for someone who has built at least one large classification system, dabbled with medical data sets, is well versed with NLP and Machine Learning, and is...

Job Description: Machine Learning Engineer San Francisco, CA, US Description About Us We are the world’s first Experimentation Platform that empowers executives, marketing teams, product teams, and development teams to make better business decisions and deliver better customer experiences by optimizing digital experiences on any channel and any device. We are currently the market leader in A/B testing and have recently launched our Personalization product. We have served over 350 billion experiences till date and have 7000+ paying customers. We have raised $146Mn in venture funding from top-tier VCs such as Andreesen Horowitz, Benchmark Capital, and Index Ventures. Join us in our mission to help businesses turn data into action. The Opportunity We have built the world’s first Experiment Platform that enables Testing and Personalization across all channels such as Web, Mobile, Server-side, and OTT through core components such as Analytics, Targeting, and Recommendations. Our...