ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job:
We use machine learning and deep learning algorithms to create models that solve challenging problems related to matching the best candidates to jobs and vice versa.
We're looking for a Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new or existing challenges. Coming up with new models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.
As part of our team you’ll enjoy:
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
We’re on the search for an experienced team leader and proud math nerd with a passion for ML/AI.
As a Data Science Team Lead at our Tel Aviv office, you’ll be responsible for pushing forward innovations around risk analysis, fraud mitigation, NLP, ML, and prediction problems. We’re looking for someone who loves innovation, is excited about experimenting with artificial intelligence, and is eager to challenge the status quo.
We’re all about creative, self-starting leaders who want to help change an entire industry for the better.
You: Alexa, I am looking for a new career opportunity, where I could conduct applied research, impact millions of customers, and publish about it in top conferences. What do you suggest?
Alexa: The Alexa Shopping team is looking for brilliant applied researchers to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
Alexa: As an applied researcher in the Alexa Shopping Research team, you will be responsible for research, design, and implementation of new AI technologies for voice assistants. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will inventing, experimenting with, and launching new features, products and systems. You must be passionate about understanding how people interact with AI systems. Ideally you have expertise in at least one of the following fields: Web search & data mining, Machine Learning, Natural Language Processing, Computer Vision, Speech Processing or Artificial Intelligence, with both hands-on experience and publications at top relevant academic venues.
· PhD in Computer Science, Data Science, or Computational Social Sciences
· Solid CS foundations (data structures and algorithms)
· Excellent coding and design skills, proficiency with programming languages such as C/C++, Java, or Python
· Several publications at first-tier peer-reviewed research conferences or journals
· Good writing and verbal English skills
· Strong communication and collaboration skills
· Publications at top Computational Social Sciences, HCI, Web, Search, Machine Learning, Natural-Language Processing, Computer Vision conferences such as ICWSM, KDD, WSDM, TheWebConf, SIGIR, ICML, NeurIPS, ACL, AAAI, CVPR, etc.
· Served as Program Committee Member, organized workshops or tutorials at top conferences
· Industrial experience in building and launching AI-related features, products or systems
· Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.)
Amazon Science (www.amazon.science) gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Syte is pioneering the future of discovery, using AI-driven visual search and recommendation technology for retail. We are on a mission to make shopping delightful, seamless, and intuitive by empowering brands to instantly connect shoppers with products they love. We partner with top brands, like Farfetch, PrettyLittleThing, Conforama, Shane Co., and Zozo, to provide on-demand, hyper-personalized experiences that drive conversion, increase average order value, and spark lifelong loyalty.
What we offer:
Do you have a passion for working with customers on their most forward-looking AI initiatives? We are seeking someone to develop machine learning solutions to solve the business problems our customers face every day.
The Commercial Software Engineering (CSE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest problems and transform their industries using cloud-based solutions. We sit side-by-side with our customers to collaboratively innovate custom solutions tailored to their business needs. In the process, we help shape the future of our own platforms by partnering with our product groups to improve them. We pride ourselves on making contributions to open source and make our platforms easier to adopt. Our work involves the development of high-impact software assets that contribute to the Microsoft platform that are broadly applicable. Our diverse skillsets and collaborative, curious natures help us foster innovation with our customers and with ourselves. Fresh perspective is part of how we create meaningful impact in our work and inclusive day-to-day experiences. We want your help in continuing to reflect the communities we serve and live in.
We are looking for a Senior Data and Applied Scientist with strong analytical and development skills to join our expanding team. The ideal candidate has demonstrated expertise in machine learning and is passionate about creating business value through building robust and performant cloud-based solutions infused with AI. They should be comfortable with the end-to-end ML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines. We work as a team to implement our solutions to nurture our projects into production via a fully reproducible continuous delivery process reinforced by a battery of full lifecycle tests in support of our customer’s objectives. Through this work with our customers, we look to be inspired by what’s possible with applied machine learning and the potential for the future.
We are open to all backgrounds and are looking for candidates with demonstrated ability to deliver on the responsibilities below.
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within CSE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal, flexible work environment where you’ll be welcome to work from home, our offices, customer sites– wherever is best for you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Maverick developing the first autodidactic and autonomous medical coding platform using Deep Learning AI technology. Maverick's Deep Learning platform understands and converts the patient charts into medical codes without medical coders' involvement. The Platform can continuously read large encounter unstructured documents and derive all relevant codes with an impressive degree of accuracy.
Mavericks use the largest labeled clinical database in the industry to develop maverick’s algorithms.
We are founded by senior executives with over 40 years of combined experience in corporate sales and business development, and product management in the digital health industry. Maverick's leadership team and advisory board include leading technology and industry experts in the various vertical healthcare markets the company has targeted for its solutions.
The company's digital fish logo is based on the Babel Fish of Douglas Adam's The Hitchhiker's Guide to the Galaxy. Like the Babel Fish, an alien fish that performs instant translations, the Maverick Platform makes sense of the clutter of today's text-based patient records facilitating physician-level cognition and understanding.
What you will be doing:
1. Natural language processing on medical texts.
2. Multilabel classification problems of high cardinality.
3. Ability to work hands-on independently as well as part of a team.
4. Experience and skills as applied research manager.
5. Substantial experience in computational linguistics.
6. Proficiency in state-of-the-art methods and tooling.
7. Fluency in Python and its data science technology stack.
HiredScore brings deeply integrated big data and AI solutions to the global Fortune 500. By leveraging data from companies' Human Resources Data ecosystem, HiredScore enables to automate and augment the hiring process, enriching recruiters' decisions with smart insights and candidate prioritization grades of A, B, C, or D using NLP and Machine Learning algorithms.
HiredScore's Artificial Intelligence Engine uses past company hiring data, global hiring data, and other data sources including labor market data, employee performance data, and CRM data, to revolutionize the end-to-end recruiting workflow as well as integrate seamlessly with other HR Systems such as chatbots, assessment tests, video interviews, and other automation tools. HiredScore's mission is to bring data science into the Human Resources domain.
We’re looking for a Senior Backend Engineer for our NLP and Machine Learning Team – a senior developer who will lead the team's engineering, including machine/deep learning models deployment and serving, experiments management infrastructure, production services architecture, and development.
Roles & Responsibilities
What You Need
Sixgill is a market leader in deep and dark web cyber threat intelligence. The company helps Fortune 2000 companies, financial institutions, government and law enforcement agencies protect their finances, networks, and reputations from cyberthreats that lurk in the deep, dark, and surface webs. The advanced cyber threat intelligence portal automates all phases of the intelligence cycle, providing organizations with unparalleled information and actionable insights to protect their assets in the ever-evolving cyber threatscape.
Sixgill is a well-funded, fast-growing tech company where automated actionable intelligence that leans on AI-based analysis is key for our business and operations. We already apply a portfolio of NLP and ML models that processes our unique collecting from the deepest and darkest sources. We are looking for a talented data scientist to join the team.
As a data scientist in Sixgill, you will gain access to a breadth of one of a kind data collected from the deepest sources on the web and apply state-of-the-art techniques to extract insights from it.
You'll work on a variety of tasks spanning from classification, anomaly detection, entity recognition, graphs, to recommendation systems using classical ML algorithms alongside transformers /attention and advanced technologies.
You'll be responsible to drive your ideas from initiatives, through research, all the way to Python production code in order to provide clear value for Sixgill customers.
Join us if you want to make a significant impact in protecting the world from cyber threats.
What you’ll be doing:
As part of the Customer Engagement Analytics research team you will deal with a diverse range of problems such as text and meta-data based prediction, natural language processing, speech analytics, sentiment, clustering, word embedding, etc.
As part of your role you will have a chance to work with the latest technologies such Transformers and wav2vec.
You will be expected to provide insights to millions of users from real-life of customer interactions.
The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.
In this role you will work together with other researchers and product in identifying needs, defining the research topics and the desired outcomes as well as collaborate with and coach other researchers in the lab.
Come and be a part of our passionate, talented, and data-driven team.
* Our working model combines remote work and office time
What you’ll need:
Extra points for
Would be very NICE to see:
If you have any of the below, we highly recommend adding them to your CV. We'd love to learn about what you've done so far
NICE (NASDAQ: NICE) is the worldwide leading provider of software solutions that enable organizations to take the next best action in order to improve customer experience and business results, ensure compliance, fight financial crime, and safeguard people and assets. NICE solutions are used by over 25,000 organizations in more than 150 countries, including over 80 of the Fortune 100 companies.
NICE’s solutions empower organizations to capture, analyze, and apply, in real time, insights from both structured and unstructured data. This data comes from multiple sources, including phone calls, mobile apps, emails, chat, social media, video, and transactions.
If you are looking to be part of a dynamic team working in an exciting environment with global challenges, this is the job you’ve been looking for!
We are seeking a researcher for a key position in our data science and algorithms team, with a significant opportunity to drive the next-generation technology of our company. Activities include rapid prototyping of solutions to data-driven problems using the most advanced deep learning techniques in both the domains of images and text and transferring the work to our live cloud-compute system. We have a direct-to-deploy mindset and the CI backend to support it and also publish articles and patents. Join our fast-paced team, including established research scientists, to build the next revolution in computational document processing.