NLP

Data Scientist

ZipRecruiter

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.

Key focuses:

  • You'll be joining a team of data scientists and ML engineers working on interesting problems in the fields of recommendations, search and NLP
  • Develop production-level code that runs and trains ML models

Minimum Requirements:

  • Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent
  • Proficiency in Python programming language
  • Background in machine learning, preferably in NLP related fields
  • Familiarity with Deep Learning – an advantage
  • Experience with Linux environment, AWS an advantage
  • Team player with excellent communication skills
  • Acting and thinking as an owner, with production environment in mind
  • Fluent in English

As part of our team you’ll enjoy:

  • Competitive salary
  • A fun environment where work-life balance is valued

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.

Requirements
  • 1-3 years experience leading an R&D / Data Science team
  • Industry experience building fraud mitigation models
  • 3+ years working as a data scientist (preferably for a startup / fintech company)
  • MSc+ in Statistics, Computer Science, Mathematics (or equivalent practical experience)
  • Fluent in Python and/or R code
  • Graph network knowledge is an advantage
  • Knowledge of relational and NoSQL databases
  • Experience working on high-scale, production-grade projects

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.

BASIC QUALIFICATIONS

· 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

PREFERRED QUALIFICATIONS

· 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.

  • As a Senior NLP Data Scientist you will:
  • Deal with real-world problems combining visual search, textual search, and recommender system
  • Research and implement algorithms and tools for NLP tasks and develop our next-generation engines
  • Write production code and communicate with the entire technical team to impact algorithm production

What we offer:

  • A fast-growing environment with many opportunities for personal growth
  • Meaningful, high-impact work and full ownership over products and features
  • A great team of people who are passionate about NLP technology and helping people make better choices
  • The opportunity to impact the lives of millions around the world using cutting-edge technologies
  • Master’s degree in Computer Science, Mathematics, Electrical Engineering or a related field. Exceptional B.Sc. candidates will be considered.
  • 3+ years of hands-on experience in research and implementation of Data science projects
  • Experience with Python and relevant data science packages
  • Experience in Elasticsearch – an advantage
  • Experience in Recommender System in e-commerce – an advantage
  • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little understanding in data science.

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.  

Responsibilities

  • Developing and deploying solutions with some of Microsoft’s largest customers for solving business problems using machine (deep) learning and predictive modeling techniques. 
  • End-to-end execution of the data science process: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation. 
  • Ensure your team adheres to solid engineering and rigorous data science principles, leaving our customers with maintainable code and models and as stronger engineers and scientists when we leave. 
  • Providing technical subject matter expertise in OSS and Microsoft AI and Data technologies, ranging from helping our product teams understand our gaps, through to navigating our customers to the right technology choices for their business. 
  • We value design research because we know it gives us a holistic view of how business goals, and human experiences are affected by interactions between data, algorithms, context, logic and interfaces. For that reason, you will be working with research, design and experience practitioners to evolve highly considered experiences. 

Qualifications

We are open to all backgrounds and are looking for candidates with demonstrated ability to deliver on the responsibilities below. 

 

Required Qualifications: 

  • 5+ years of experience with end-to-end ML/AI systems in the cloud, including data processing, feature engineering and tuning of ML models in training and production (MLOps) – with both structured and unstructured data. 

 

Preferred Qualifications: 

  • Experience managing both technical and non-technical stakeholders and able to resolve complex business and technical issues. 
  • We look for people who have broad Machine Learning experience across a variety of applications both traditional and Deep Learning, but a deeper expertise in either Computer Vision, NLP, Forecasting or Recommenders. 
  • Python skills, including the scientific Python stack, Machine Learning frameworks, and at least one major programming language such as C#. 
  • MS/PhD in Computer Science, EE, Machine Learning, Data Science, Computational Linguistics, or equivalent technical fields. 
  • Enjoy travel and are comfortable with regional travel up to 25% as needed with projects (subject to worldwide and organizational safety guidance). 

 

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.

Chief Science Operation

Maverick Medical AI

About Maverick:

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:

  • Managing and building a team of data scientists and data engineers
  • Work closely with the product management
  • Manage the algorithmic roadmap of the company
  • Innovating: solve tough NLP problems, work with big data, small data and common sense to create out of the box solutions.

Preferred Qualifications:
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

  • Be part of the research and development of NLP and Machine Learning solutions for the HR-Tech
  • Lead the engineering effort of the team including business logic, models deployment, and experiments management infrastructure
  • Collaborate HiredScore’s DevOps and infrastructure teams to build for the scale of HiredScore, including monitoring and performance considerations
  • Help the largest companies in the world to have better, more efficient, and fair hiring.

What You Need

  • An experienced Software engineer, 4+ years of developing, backend orientation
  • Experience in Python development – a must
  • Creating software with built-in quality (SOLID, Tests, Separation of Concerns, etc.)
  • Experience in CI/CD
  • Understanding of Machine Learning systems
  • Experience working with cloud platforms (Advantage- AWS)
  • Bachelor's degree in Computer Science or related field

Data Scientist

Cybersixgill

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.

Requirements

  • M.Sc or higher degree in computer science or another relevant field from a leading university
  • Good understanding of machine learning methodology and workflows
  • 4+ years of experience building production-deployed machine learning models
  • Industry experience in NLP
  • Strong knowledge in Python
  • Passion for data
  • Enthusiastic and energetic
  • A team player
  • Thrive in a fast-paced, agile environment
  • Fluent in English and Hebrew, both written and verbal

Advantages:

  • PhD
  • Has broad knowledge of SQL and NoSQL DBs
  • Experience with neural networks text processing methods such as BERT
  • Cyber domain Background

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:

  • Advanced degree in computer science or related fields doing research in the fields of Machine Learning
  • 5+ years’ hands-on experience in researching and implementing classic, deep learning and preferably also transformer-based algorithms
  • High proficiency in Python
  • Practical experience with machine learning and deep learning packages, such as scikit-learn, TensorFlow/Keras, Spacy, Hugging Face etc.
  • Experience working with real-life data and performing exploratory analysis
  • Ability to effectively communicate in English complex concepts in a clear and professional manner
  • Good knowledge of the field, being up to date on the state of the art
  • Good analytical skills and original thinking
  • Independent and innovative with the ability to lead an applied research task from problem definition to delivery
  • Team player
  • Fluent in English

Extra points for

  • Experience with visualization
  • Linguistic background

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

  • A link to a post you wrote or an interesting presentation you’ve given
  • Open source projects you’ve created or contributed to
  • Interesting, non-trivial problems you’ve dealt with

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!

Data Scientist

way2vat

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.

Requirements

  • B.sc. in Computer Science, Math, related fields, or relevant coursework – Must.
  • A least 2 years of experience in a similar role – Must.
  • Programming: Python – Must, C++ – nice to have.
  • Experience with Deep Learning, NLP, or Computer Vision – Must.
  •  Linux fluency (scripting, command line), containerized deployment, AWS – preferred.
  • Experience with collaborative coding, source control techniques, software project management – required. Git, CI/CD – preferred.
  • Datastore and management: SQL – nice to have.

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