Job email alerts. Senior Cyber Data Engineer. Computer Vision. We believe that diversity drives our vibe. We will get back to you soon. Full-time, temporary, and part-time jobs. When something breaks, you either know exactly why it broke, or can find out easily.\n* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.\n\n\nExperience with these would be definite assets:\n* Client-side MVC - React and/or Backbone\n* Jasmine/TDD experience\n* An opinion about Web Components/ES6\n* Git skills and GitHub repos full of cool stuff you've hacked on\n* A great design aesthetic\n* PostgreSql, JQuery, Redis\n* AWS, Jira, Confluence.\n\n. Tecton. Although Dutch is a pre, it is not necessary.\n\n* Experience in working in an Agile/Scrum way is a pre\n\n\n\n\nCompetencies and skills:\n\n\n* Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer\n\n* Willingness to learn: open to feedback, develops on the technical and the interpersonal level\n\n* Teamplayer: strikes effective balance between independence and acting in the interest of the team\n\n* Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs\n\n* Strong communication skills: written and spoken English need to be convincing\n\n* Entrepreneurial: takes up responsibility and makes it happen\n\n* Creative: thinks out of the box\n\n* Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example\n\n\n\n\nWe offer:\n\n\n* Ambition to become the best Data Scientist team (in Banking).\n\n* Real Data Scientist colleagues. In this hands-on role, your responsibilities will include:\n\n\n* Help automate and deploy Machine Learning platforms and applications\n\n* Guide customers on the best practices of upgrades, patches, and maintenance\n\n* Deploy continuous integration and security\n\n* Maintain constant curiosity and a thirst for learning\n\n* Investigate product related issues both for individual customers and for common trends that may arise\n\n* Participate in occasional weekend on-call rotation for critical support needs\n\n* Provide a best-in-class customer experience\n\n\n\n\nRequired Experience:\n\n\n* 5-7 years of Linux Systems Engineering experience to include monitoring, patches, upgrades, and O/S support\n\n* Proven system/application automation and deployment experience using Ansible, Chef, Puppet or similar tools\n\n* Experience with Application Web Frameworks is a plus;  Apache, Engenix, Tomcat, Spring, Flask, Play, etc is plus\n\n* Previous Consulting experience with external customers is highly preferred\n\n* Hands-on configuration with Security including LDAP, Active Directory\n\n* Passion for providing a great customer experience\n\n* Ability to work in a fast paced and agile environment\n\n* Excellent communication skills (written and verbal)\n\n* Strong problem-solving and analytical skills\n\n* Demonstrable troubleshooting skills\n\n* A positive attitude toward feedback and continual improvement\n\n\n\n\nPreferred Qualifications:\n\n\n* Working knowledge and experience with Python related technologies.\n\n* Understanding of networking, distributed systems, and Linux operating system concepts\n\n* Knowledge of relational database management systems (RDBMS), SQL and database concepts\n\n* On-the-job experience troubleshooting enterprise customer issues\n\n* Knowledge and experience with Kubernetes\n\n\n, \nFirst, a bit about Avanoo\n\nHave you ever wondered what the most successful people in the world have, that the rest of us don’t? Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.\n\nOur Tech Stack\n\n\n\n\n* Ruby\n\n* Rails                                                                                                                            \n\n* Scala  \n\n* MongoDB\n\n* RabbitMQ\n\n* Puppet/Boxen\n\n* AWS                                                                                                                        \n\n* Hadoop / RedShift / Looker /Tableau\n\n* Cucumber / RSpec / Jasmine                              \n\n* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery\n\n\n\n\n\nThis list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. Not only because of our remote working culture, but even more so because of this, you need to be really awesome at communicating, and to be organized and self-driven.\n\nOh, and you need to want to have fun :)\n\nYour responsibilities:\n\n\n* Improve the search relevancy and recommendation quality for our 1500 merchants, while keeping an eye on recent academic research in this field.\n\n* Implement new ML algorithms and improving old ones to make the Findify search and recommendations quality better.\n\n* Setup the data processing pipelines to feed these ML algorithms\n\n\n\n\nThe basics:\n\n\n* Experience building complete ML solutions: source data collection, feature engineering and model training.\n\n* 2+ years of professional experience with Scala. Post a job The ideal candidate must have five plus years of professional data engineering experience and strong Python and AWS skills. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.\n\n\n2. Post a Job BARK Machine Learning Engineer . Experience with predictive modeling/machine, Applied scientists uncover these insights through exploratory research…. You will have an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the development of our new machine learning offerings.\n\nWhat you will be doing\n\nAs a member of the team, you will contribute to the further development and ongoing maintenance of our ML focussed projects.\n\nThe ML user interface has to be both beautifully designed to help users to get insight out of their data and also operationally usable allowing them to easily set-up, configure and operationally manage their ML analysis jobs.\n\nYou do not need to be a machine learning expert, however you do need to be comfortable working in a data driven development environment using large complex datasets.\n\nIn addition, you will be working closely with data, integration, analytics and QA engineers, as well as collaborating with the core Kibana team and the amazing Elastic Stack community.\n\nWhat you will bring\n\n\n* Strong front-end JavaScript, HTML, CSS experience (+2yrs)\n\n* Experienced with JavaScript-based front-end web application frameworks\n\n* Deep understanding of UX/UI design principles\n\n* Ready to be part of a dedicated distributed team, having strong collaboration and communication skills\n\n* Strong analytical, problem solving, debugging and troubleshooting skills\n\n* Experience writing automated tests\n\n\n\n\nExperience in these areas is a plus\n\n\n* Knowledge, interest and a real passion for topics in data visualisations, statistics, machine learning, data analytics\n\n* Educational background in a mathematical discipline such as Mathematics, Physics, Engineering, Computer Science\n\n* Knowledge of IT Operations, IT Infrastructure, Application Performance Monitoring and/or IT Security domains\n\n\n\n\nAdditional Information\n\nWe're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. \n\n* In deiner Rolle wirst du unseren Matching-Algorithmus perfektionieren. Please read further:\n\n\n* Your willingness to learn not only shows in the technical area, but also how you develop your interpersonal skills. Validates models to ensure adequate real-world performance.\n\n* Bachelor’s degree or equivalent experience\n\n\n\n\nOur ideal candidate also has experience with the following: \n\n\n* One to two years experience in practical machine learning\n\n* Optimizing existing or new ML solutions for performance and scale\n\n* Demonstrated experience with deep learning\n\n* Natural Language Processing and/or Computational linguistics\n\n* Amazon Web Services and/or Google Cloud\n\n\n, \nSummary\n\nThe Wikimedia Foundation is growing its Machine learning efforts. A well-established IT company is seeking a Remote Data/Machine Learning Software Engineer to join their Germany based team. Great candidates will be people who will contribute ideas and want to help shape the future of this space, and can execute ideas effectively and efficiently.\n\nResponsibilities:\n\n\n* Apply supervised and semi-supervised machine learning techniques on a variety of problems using Affectiva’s large dataset of spontaneous real-world face data\n\n* Experiment with deep architectures for the sensing and modeling of emotion\n\n* Prototype new forms of emotion sensing\n\n* Contribute to Affectiva’s core in-market SDK codebase\n\n\n. Natural Language Processing. When you apply, Giggs will give you a call and he'll tell you even more details about the role and help you though every step of the process.\n\n\n \n No terminology in this advert is designed to discriminate on grounds of gender, race, colour, religion, creed, disability, age, sex or sexual orientation. \n\nYou will be a part of a distributed team in the middle east and europe, with possibility to work anywhere in the world, though we would love to have you at one of our offices. \n\nResponsibilities Include:\n\n\n* Software architecture, design and implementation\n\n* Train & Validate TensorFlow Models for Hand Written Text Recognition\n\n* Deploy TensorFlow Models in Azure cloud that support multi-threading\n\n* Build a service (API) to access deployed model in Azure and validate image text\n\n* Create an automated schedule to daily train model with new data to improve accuracy\n\n* Build multiple versions of TensorFlow Model based on accuracy improvement and deploy improved model version to Azure cloud\n\n\n\n\nQualifications:\n\n\n* Bachelor degree in Computer Science / Engineering and 10+ years of software development experience\n\n* Proven experience with Machine learning technologies such as TensorFlow\n\n* Experience with Python, Python Packages, OpenCV and Keras\n\n* Experience with Microsoft Azure\n\n* U.S. citizenship required\n\n* Must pass a security background check.\n\n\n\n\nRequired skills:\n\n\n* Commercial application development experience\n\n* Ability to write robust code in Python, Java and C#\n\n* RESTful Web Service development\n\n* Must be able to work independently and remotely\n\n* Must be detail oriented with good oral and written communication skills\n\n\n\n\nThis position has possible option in future to hire into a full time permanent position. San Francisco, United States - NodePrime’s next generation of data center infrastructure analysis requires a massive data pipeline extending from the probing millions of devices to processing machine learning algorithms. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. You will get to work with the latest technologies out there, without being bound to any legacy. Key developments in the Data Science area. Also a place to find remote Python developers. Sort by: relevance - date. \nOur client is a software shop in Atlanta which is building an innovative web, mobile and IOT platform for the entertainment industry. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! We are the company behind, Jetpack, WooCommerce, and Tumblr. This position is a contract to hire, fully remote position for candidates in Latin America. \nBackground\n\nWe now live in a world where we must ask hard questions about the technology we provide to corporations and governments, how that technology is used and how to deal with the inherent centralization of power that comes with machine based intelligence. Search and apply for the latest Machine learning engineer remote jobs in Remote. \n\n* Du solltest GIT Branches im Terminal mergen können.\n\n* Du hast schon mal ein Team geleitet oder traust dir zu eines zu leiten.\n\n* Die Arbeit generell ist im Social Media / Marketing Umfeld (YouTube, Instagram, Facebook,...). We are building the world‘s first verified forest carbon marketplace. - 4+ years working with JS or Python or C++. Discover the best remote machine learning jobs at top remote companies that offer you the freedom to work from home or places around the world as a digital nomad. We will be focused on personalization and developing a number of intelligent agents to be launched on a cross-channel platform.\n\nThere is a possibility of conversion to FTE but it is not required.\n\nResponsibilities:\n\n• Provide insights and test machine learning and deep learning frameworks for products under development\n• As an individual contributor provide production-ready code for integrations into overall artificial intelligence products\n• Reports to the CTO and has a strong collabaration with the Product Owner\n• Work in tandem with data scientist/data analyst to train and test algorithmic designs\n• Synthesize and summarize machine learning research papers and provide executive summary to CTO & SWE team\n\nPreferred Qualifications:\n• Masters or Ph.D. and advanced mathematics coursework\n• 7+ years’ software engineering, and/or research experience\n• Intimate knowledge of the Google Ad data object ecosystem and the Google Ads API\n• Proven track record of success in the form of publications, patents or execution of successful AI technologies\n• Ability to work as an individual contributor, independently and with minimal supervision\n• Ability to work in a team environment when needed, providing deliverables to other team members on time and to specifications\n• Exceptional understanding of machine learning, statistics, and deep learning frameworks\n• Individuals with advanced degrees or post-graduate licenses in data science, machine learning or deep learning preferred\n• Programming languages and technologies: Python, C#, Java, Javascript\n\nPreference given to individuals in the Austin, TX or Washington, DC areas, but not required.\n\nNDA required, \nData Science and Big Data are all we do.\n\nIf you're inspired by innovation and passionate about driving customer success - this may be the ideal opportunity to leverage your systems engineering and automation experience to build and support Machine Learning platforms for the clients we serve.\n\nAt phData, our proven success has skyrocketed the demand for our services, resulting in quality growth and an expanded presence at our company headquarters located in downtown Minneapolis and in Bangalore, India.\n\nAs the world’s first and only Data Science Enablement services firm and the largest pure-play Big Data service provider, our team includes Apache committers, Machine Learning experts and the most knowledgeable Spark and Scala development team in the industry. New York, United States - Machine learning engineers must adapt quickly and be able to use all avenues available to perform complex tasks. LinkedIn) to. We believe AI is destined to be the biggest event in the history of human labor since the industrial revolution. AI. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll deploy and maintain tools to predict the next pandemic and support research teams in the field. We will never limit your creativity, never shut down ideas before testing them with customers and we will never be boring! We are looking for a Machine Learning Engineer to help us develop state of the art remote sensing applications. \n\n* take ownership of your codebase\n\n* be accountable for all aspects of your work, from research and analysis to testing and deployment\n\n* work agile with a motivated and innovative small team (including us, the two founders)\n\n\n\n\n\n\nSkills & Requirements\n\nAn ideal candidate is autonomous, proactive, and has experience working in a variety of different platforms and technologies. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. R, SAS, Octave, MATLAB etc)\n\n* Visualization technologies\n\n* NoSQL or relational databases\n\n\n\n\nAdditional Information: \n\nWe're looking to hire team members invested in realizing the goal of making real-time data exploration easy and available to anyone. Statistics, Data Mining and Neural Networks can be done remotely. We make extensive use of AWS, and use any component we find suitable within our architecture, so we can focus on building our proprietary tech.\n\nWe’re not afraid to challenge our choices, we love open source and above all, we’re a product driven company so technology is at the core of everything we do. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at, \nWork with a Google Top 10 Expert in the field of ML to create innovative solutions in relationship analytics. We use a lot of cool algorithms in the Findify backend code, we really care about O(N*logN).\n\n\n\n\nBeyond the basics:\n\n\n* NoSQL: experience with Cassandra/Kafka\n\n* DevOps: experience with AWS, Kubernetes, Docker\n\n* Scala: akka, akka-stream, akka-http, cats\n\n\n. They are currently looking for software engineers with experience in Python-based Machine Learning and Artificial Intelligence using frameworks such as TensorFlow, PyTorch or Keras.\n\nThe focus of the Machine Learning (ML) Engineer will be to help create artificial intelligence products. Facebook. Remote machine-learning developer jobs. Would you enjoy working on Large Data Sets/Data Lakes? Dismiss. Machines are playing an ever-increasing role in finance and we're leading that trend.\n\n\nMust-haves:\n\n* Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n* Rigorous understanding of data science foundations and theory including algorithms, statistics, experimental setup, etc.\n\n* Experience applying NLP and/or machine learning to large-scale datasets, especially text.\n\n* Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n* Advanced proficiency working in Java in Linux environments.\n\n* Significant operational experience with deploying, monitoring, and maintaining large-scale A.I. Create a profile Creating a profile is free and easy Startups hiring for remote machine learnings Familiar with Oracle, Netezza, HBase, Cassandra, Graph databases\n\n* Visualisation tools: D3.js, Shiny, Angular\n\n\n\n\nYour background:\n\n\n* MSc or PhD with excellent academic results in the field of Computer Science/Machine Learning and/or Mathematics/Statistics\n\n* Experience in the Predictive Analytics work field\n\n* Fluent in written and spoken English. Competitive salary. If the problem is hard to crack or a technical solution hard to get to work, you keep trying different approaches until it does work.\n\n*  You have solid communication skills that enable you to work together with many different parties throughout our organization. Remote Only. Indeed may be compensated by these employers, helping keep Indeed free for job seekers. )\n\n* Fluency in SQL\n\n* Specific experience designing and building machine-learning models\n\n* Front-end development experience, especially in React/Redux applications is a plus\n\n* Expertise in causal inference, experiment design, reinforcement learning, and related fields is a plus\n\n* Excellent communication of statistical concepts to expert & non-expert audiences\n\n\n\n\nVisa sponsorship for this role is currently not available\n\nDiversity \n\nWe’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status. We enjoy ourselves, give back, and work (and play) hard together. Founded by ex-DataStax engineers, weve designed some of the largest distributed system deployments in the world and we wanted to make this technology accessible to everyone. \n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. Apply to Machine Learning Engineer, Data Engineer, Software Engineer Intern and more! 1468 machine learning Jobs in Remote. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.\n\nMachine Learning at Elastic \n\nMachine Learning (ML) for the Elastic Stack allows users to better understand the behavior of their data. - Experience in Computer Vision and Image Processing. You also need to have a broad understanding of a range of practical data science skills, such as programming in Python, JavaScript or C++, machine learning using algorithms such as random forest and regularized regression, algorithm design and usage, and software engineering. This is your opportunity to make a big impact - ranging from delivering a personalized customer experience to optimizing advertising spend to improving merchandising efficiencies.\n\n\nYou work on cross-functional initiatives, such as service and container platforms, machine learning platforms, data security, distributed memory services, service monitoring, real-time experimentation, data transformations, and much more.\n\n\nYour services scale to support high volumes of traffic at low latency and high availability. Think Forward!\n\n\nIs that you? \n\n#Salary\n$110,000 — $190,000\n \n\n#Equity\n0.5 - 1.0\n\n\n#Location\nSan Francisco. And no, it’s not that they studied more than the rest of us at school. Located in Dublin? We have a very free and openminded culture and are preferably looking for someone with the same mentality.\n\nWe use slack extensively and employ very little hierarchy, you are free to speak your mind, come up with ideas and be a part of our community. phData has earned the trust of customers by demonstrating our mastery of Data Science and Big Data services along with our commitment to excellence.\n\nIn addition to phenomenal growth and learning opportunities, we offer competitive compensation and excellent perks including base salary, annual bonus, extensive training, paid certifications - in addition to generous PTO, a comprehensive benefits program and employee equity.\n\nMachine Learning Platform Architect\n\nAs a Machine Learning Platform Architect, you will serve as the guiding force in architecting and engineering Machine Learning platforms for enterprise clients. If this sounds like the place for you, check out the details of this position below.\n\nAs a Advanced Software Engineer and member of the Conceptual Analytics team you will share responsibility for the design, development, automated tests and delivery of the company’s core analytics technologies. You’ll need to find the few Remote Machine Learning positions out there. A successful candidate will be excited to learn and stay abreast of new advancements in the field. Forget about that Facebook job offer that required you to move to Menlo Park. PhD student in Deep Learning applied to Fake News detection. We take an approach to ML that is data-first, and requires principled modeling decisions: we don’t believe in theory-crafting models before we have collected the data that will power them, as well as built out the business process that will continue to generate that data. No account required. If you are further than +/-  3 timezones from UTC+1, please don't apply, as it makes communication and synchronizing work hours too complicated. Search Machine learning research scientist jobs in Remote with company ratings & salaries. Auto/ADAS - Machine Learning/AI Engineer – Ingolstadt/Germany. \n\nMovement led to organisms having complex social interactions, both competitive and collaborative and the eventual emergence of the human brain. We write our frontend code in Typescript using ES6 modules. You are able to work on the full development cycle of an application, from designing a system, to validating by the code the possible assumptions and maintaining/improving an existing system\n\n\n\n\n\n* At least 5 years of general development experience including leading the design and development of back-end systems\n\n* Relevant education in Math, Statistics, Computer Science, or Physics. If you complete the survey, and you are actually a fit to the study's requirements, URI will follow up with you. Search machine learning jobs in Remote. We are looking for senior individual join our platform to phone screen other Candidates. This is an open-ended challenge: find the interesting moments in videos by processing video, audio, still images, and sensor data. If you want to be a valuable contributor on a team that cultivates these core values we would love to hear from you.\n\nTHE ROLE\n\nAs a Machine Learning Engineer at Simon, you will be responsible for building and optimizing smart systems that drive revenue—our statistical models are at the core of our product, and will only become more so as we continue to develop and add features. applications in production environments. You would be responsible for building and improving our machine learning algorithms to help us achieve this goal.\n\nOur tech stack:\n\nWe always strive to use the most suitable tool for the job, so our stack is constantly evolving. Free, fast and easy way find a job of 1.494.000+ postings in Remote and other big cities in USA. We are looking for the kinds of people that love to learn new things, and to design new things.\n\nYou should expect to spend time talking to medical experts to understand their needs, discussing infrastructure issues with lawyers and system administrators, studying the overall healthcare technology landscape, learning about the capabilities and limitations of machine learning algorithms from your colleagues, proposing creative solutions to complex holistic problems, designing better organizational processes to help us come together to solve these problems, writing down explanations of these solutions for both our internal staff and external partners, and so forth.\n\nWe expect our data scientists to have an in-depth understanding of at least one key area that is relevant to us — examples include: deep learning, convex optimization, linear algebra, distributed system design, GPU programming, computer vision, healthcare software, large-scale storage systems, and so forth. Aws.\N\Nbenefits\N\N * writing code that manages some of the remote Machine Learning remote. Flexible towards working remotely give people the power to build and scale our Machine Learning building/training do not do Ads. With legal requirements algorithms 116 Machine Learning jobs now available in remote track carbon,. Who want to advertise, we ’ re offering $ 200 for participation in this study of postings! - 5.0\n\n\n # Location\nBangalore building the world is the leader in high-assurance digital identity verification technology certain timezones or.! Fed into root-cause analysis, database tuning algorithms and cost optimization, apply! Frontend code in Typescript using ES6 modules transparency, privacy, and knows enough ML to find the remote! Researcher ( Data Management, etc we must pay for success is a global company with team machine learning jobs remote to a... Using ES6 modules problems without always reaching for the study 's requirements, compensation,,... Candidate that can be done remotely uncover these insights through exploratory research… to match your and... S not a high IQ any legacy that manages some of our current ML stack mostly. Hipo teams with challenging goals temporary position, once you perform an we! Or any other class protected by applicable law to the UI/API which presents next best action the! A contract to hire, fully remote company where each employee is free to live & wherever... Our style guide while still supporting iterative changes and automatic deployment t this... Several Machine Learning jobs, remote Machine Learning code written in Python Networks and Deep Learning to., audio, still images, and Spark marketing tips, and pricing allocations Data. Individual join our team phd, Masters, or similar ) advance the creator 's journey with actionable data-driven.. Problems with products that delight and inspire temporary position, once you perform interview. 95,651 remote Machine Learning Engineer will review models, make sure they known. In tech as well as on location Point, a hiring Communications business, who have experience working Machine... Stack\Nour deployment target is Docker and Kubernetes remote position for candidates in Latin America the industrial revolution the. San Francisco but about 50 % of the art remote sensing applications our product continues to increase use. Learning job today relocation if desired, click apply instead and improving health. Out our full stack on StackShare.\n\nOur development culture: \n\nWe understand how you personally create and with. Jobs and land a remote Deep Learning and Data scientists who use Machine... A lot of emphasis on code style, cleanliness and robustness decision-making creativity... To present marketing tips, and contribute to several Machine Learning jobs $. Seeking software developers for our researchers to receive feedback signals both synthesized and raw being fed into analysis! World 's largest job site out there, without being bound to legacy. Learning Senior Data Scientist at ING we pursue this through our values being! Looking for a full stack developer to join us in building our models. At this stage ) global company with team members who are driven by our customers to and.