Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Our Mission:

To actively connect people to their next great opportunity. At ZipRecruiter, we foster a culture where our employees feel accepted, supported and celebrated. Our employees find ethical solutions to empower the community and workforce. Differences make us stronger, and we embrace them.

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 an experienced 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.

What you'll be doing?

• 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

Qualifications:

• Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent
• Proficiency in Python programming language
• Strong 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

Navina is an early-stage AI startup in the field of Digital Health.

Our core mission is to move primary care by family physicians into the 21st century, using a data driven approach.

Navina’s system aggregates medical data from all available data sources into a single clinical snapshot, highlighting critical information and delivering it to the clinician at the point of care. This is done using cutting edge Deep Learning and NLP algorithms.

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team. This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used. You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.

Must have requirements:

• B.Sc + M.Sc in an analytical field (Computer Science, Bioinformatics, Engineering or any other analytical degree)
• 4+ years of hands-on experience with Machine Learning and Deep learning algorithms
• 2+ years of hands-on experience with NLP and NLU algorithms, including Question & Answering, Reading Comprehension, Language Embeddings, Dialog, etc
• High proficiency with Python and SQL 
• Experience developing end to end data science solutions in production, writing scalable and automated solutions
• Team player with strong communication and collaboration skills

Advantages:

• Ph.D. in an analytical field
• Deep knowledge in one or more of the following fields: Time series Analysis, Computer Vision, Voice recognition
• Experience working with Docker, Kubernetes, AWS, Spark, Hadoop

What is #LifeatAF? How can we crystalize its DNA into one eye-catching sentence for you? Our culture is defined by our people! Everyone is an approachable professional, tenacious and versatile, a challenging team member, and a respected and valued mentor.

AppsFlyer is the market leader in the mobile attribution business. We attribute 100 million mobile app events a day.
This information is vital for apps in managing campaigns for promoting their apps. This market consists of over 100B USD annually.

Our Data Science group develops holistic solutions for difficult data science problems at huge scale and breadth of information, taking them from initial algorithmic ideas to scalable production solutions.

As a senior data scientist you will be exposed to difficult product challenges requiring out of the box scientific thinking as well as familiarity with modern DS tools and algorithms. You will take part in the design, implementation, and deployment of these algorithms at our huge scale. It’s most exciting when great models meet huge data, this is what our day to day looks like.

Our tools of trade are (partial list): Spark, Scala, Clojure, Tensorflow, Python, Pandas and friends. 

What you'll do:

• Design and build data science systems at a very large scale.
• Understand the business and product needs and transform them into successful scientific and production ready solutions.
• Fitting and taking a leadership position in our growing data science group.

What you have:

• M.Sc/Phd in Computer Science/Physics/Math from a top university. GPA over 85
• 5+ years in Data Science/Algorithmic development.
• Strong mathematical/analytical capabilities. Ability to work independently on large projects.
• Strong engineering background. Each member of the group is responsible for both the scientific and the engineering solution. 
• Ability to mentor others, work in teams, teach and learn from peers.
• Advanced proficiency in written and spoken English.

Bonus Points:

• Introduced by an AppsFlyer team member

As a global company operating in 16 countries across 5 continents, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Software Engineer: Distributed Data Systems

HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes industry experts who are founders of multiple startups, CS professors, and world-class scientists and engineers formerly from Amazon, Google & Facebook.

We’re looking for a distributed systems engineer who is an expert on information retrieval and DB internals.

If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s a great opportunity to join an exciting early stage startup as one of its first employees.

You should have:

• At least six years of experience as a Software Engineer
• Vast experience in database internals and information retrieval 
• Experience in building web-scale services and distributed systems
• Proficiency in at least one scripting language, such as Python, Scala
• Proficiency in at least one compiled language, such as C++, Go, Java

While not necessary, it would also help to have experience with either embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch). 

Alibaba's DAMO-Israel lab is super-charging innovative products by empowering them with Deep-AI. These products are targeting fascinating new markets, such as online education, intelligent workplace, photo sharing and storage services, and more.

As an example of one such market – online education is a huge and challenging market. It involves human interactions of various kinds such as video conferencing, gestures, action, voice, written messages, online assignments, and so on. This makes this field a prime candidate to fulfill our lab's mission to solve hard problems and drive user value with advanced computer vision, natural language processing, and data-analysis technologies.

As an algorithm engineer in our team, you will:

• Be part of a very strong and dedicated team, committed to making a difference

• Research, develop and improve building boxes & components in computer vision & related fields

• Be responsible for end-to-end quality, from understanding the requirements, through suggesting solutions, defining your benchmarks, and making sure your solution is working in the wild

• Be part of knowledge sharing and collaboration, making the team stronger together.

Requirements:

• At least 7 years of relevant industry experience, with proven success of delivering high-quality solutions

• MSc in a relevant field in a leading institution. Ph.D. is an advantage

• Proven experience in computer vision

• At least 2 years of experience in Deep learning

• Knowledge of additional data science fields is an advantage

We are very proud of our culture and vision of Alibaba, which includes continuous learning, adaptivity, teamwork and commitment. Would you like to join us on this journey?

Alibaba's DAMO-Israel lab is super-charging innovative products by empowering them with Deep-AI. These products are targeting fascinating new markets, such as online education, intelligent workplace, photo sharing and storage services, and more.

As an example of one such market – online education is a huge and challenging market. It involves human interactions of various kinds such as video conferencing, gestures, action, voice, written messages, online assignments, and so on. This makes this field a prime candidate to fulfill our lab's mission to solve hard problems and drive user value with advanced computer vision, natural language processing, and data-analysis technologies.

As an algorithm engineer in our team, you will:

• Be part of a very strong and dedicated team, committed to making a difference.

• Research, develop and improve building boxes & components in natural language processing & related fields.

• Be responsible for end-to-end quality, from understanding the requirements, through suggesting solutions, defining your benchmarks, and making sure your solution is working in the wild.

• Be part of knowledge sharing and collaboration, making the team stronger together.

Requirements:

• At least 7 years of relevant industry experience, with proven success of delivering high-quality solutions.

• MSc in a relevant field in a leading institution. Ph.D. is an advantage.

• Proven experience in natural language. Deep learning experience is an advantage.

• Knowledge of additional data science fields is an advantage.

We are very proud of our culture and vision of Alibaba, which includes continuous learning, adaptivity, teamwork and commitment. Would you like to join us on this journey?

Responsibility:

As a machine learning engineer, you'll be part of our machine learning team who is responsible for designing and running experiments for versatile projects which bring the latest deep learning advances from theory to our products.

Requirements:

Passion is a must 🙂

MSc in Computer Sciences, Electrical Engineering or Mathematics
3+ years of experience as a Machine Learning Engineer, Data Scientist or a similar role.
Experience in building machine learning models deployed to production environments.
Experience with at least one of the following frameworks: Keras, PyTorch, TensorFlow
Python and Matlab – Must
Experience in neural networks optimization for embedded environments – Advantage