Responsibilities Evaluate current research and new technologies in light of our products and customer needs, and use your insights to deliver new capabilities Research and implement Machine Learning, Network Analysis, and Natural Language Processing algorithms to support social media data analysis Collect and process a variety of data, structured and unstructured. Develop quantitative models and data analysis strategies. Design, implement, evaluate, and refine product prototypes. Develop and deploy web-based services and applications. Our ideal candidate will also be passionate about DevTools implementation and innovation in all aspects of software development and delivery that get in the way of developer happiness.

MS or PhD in Mathematics, Physics, Computer Science with a specialization in data analysis/machine learning/data science, strongly preferred Ability to apply a broad range of algorithms to varied data science problems Expertise in machine learning theory and practice with a solid understanding of machine learning algorithms Experience in the following: Applying regression, classification and clustering algorithms to varied types of data Supervised and unsupervised learning Use of data science languages such as R, Python, etc Building and testing predictive models Applying very large amounts of training data sets to train models Working knowledge of various text mining algorithms and their use-cases [e.g., keyword extraction, PLSA, LDA, HMM, CRF, deep learning and recurrent ANN, word2vec/doc2vec and Bayesian modeling] Strong understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging and parsing and how they work at a low level Strong understanding of testing and tuning models

Lenovo is a $46 billion global Fortune 250 company and leader in providing innovative consumer, commercial and enterprise technology. Our portfolio of high-quality, secure products and services covers PCs, workstations, servers, storage, smart TVs and a family of mobile products like smartphones (including the Motorola brand), tablets and apps. Everyone here at Lenovo is an integral part of the company, working together, across continents, cultures and innovations, all comprised in a friendly, fast-paced, work environment that focuses on one common goal: to be known as the best in what we do.

Massive data: You will examine terabytes of structured and unstructured data with our platform to create value for customers. Machine learning: You will use machine learning and data science to generate insights and decisions. This process is highly iterative and will entail owning all aspects of the end-to-end machine learning workflow (eg, data ingestion, feature engineering, modeling, predicting, explaining, deploying, diagnosing). Customer facing: You will own all technical aspects of the customer experience and work directly with customers to deliver high quality results within a constrained timeline. Production deployment: You will be responsible for integration and deployment of the machine learning pipelines into production where your ideas can come to life.

Want to be part of a team where that all comes together? Want a chance to drive an extraordinary experience for travelers by connecting them with millions of vacation rental properties? Passionate about building and putting complex models into production to solve relevance and personalization problems, great at model implementation, testing and evaluation? If so, then HomeAway has a Machine Learning Engineer role for you and would like to talk to you!

Most of these concepts should hold deep meaning for you: Hyperparameter optimization, Hilbert space, BFGS, Spectral clustering, EM, Multinomial logistic regression Superb communication skills. This is often added to job requirements as an afterthought. You'll need to explain yourself and your methods. Excellent data analysis & visualization skills using tools like R or Python Orbital Insight is a fast growing provider of geospatial data and geo -analytic services to commercial, nonprofit and public sector clients across the globe. Leveraging advancements in computer vision and cloud computing, Orbital Insight is turning millions of images into a big picture understanding of the world that is quantitatively grounded in observation, creating unprecedented transparency, and empowering global decision makers with new sources of objective, quantified socio -economic insights.

We are looking for smart, energetic individuals to help us develop and launch groundbreaking career-centered products. We are currently seeking a Machine Learning Engineer to join our team in San Jose, CA. At RiseSmart, the engineering culture is talent-centric. We believe in bringing together a team of talented engineers that are passionate about programming, technologies and developing solutions for complex human capital issues. About the Job Samples of products and the kind solutions we are developing: • Job and Profile Matching Engine: Build distributed search engine of jobs and candidates.

MS/PhD in Computer Science, Statistics, or Business 3 years of experience in Machine Learning or related field Proven track record of working on complex modular projects, and assuming a leading role in such projects Highly motivated, self-driven, capable of defining own design and test scenarios Expert knowledge of SQL. Able to optimize complex queries Able to execute research projects, and generate practical results and recommendations Experience with K-means clustering, factor analysis, regression, neural networks, decision trees, SVM, Naive Bayesian classifications, and different simulation approaches like Monte Carlo methods a plus Experience with scripting languages (i.e.Javascript, Python) preferred Experience with natural language processing, lexical analysis, and semantic processing a plus PERKS!