Machine learning

Description

Yandex’s mission is to revolutionize the way people and goods are moving around. With its best in class self-driving cars technology, Yandex lets people move from point A to B safely, conveniently, and most efficiently.  Our fully autonomous vehicles are built upon the blend of specialized hardware, sensors, and state of the art technologies like computer vision, advanced deep learning, sensor fusion, and human behavior prediction. All these developed in-house by our top-notch R&D teams comprised of people who face toughest technological challenges every day. If you are as enthusiastic about self-driving cars as we are and like working in an extremely agile, challenging, and rewarding environment, we shall talk.

Role

As an applied scientist, you will be responsible for the development of state-of-the-art ML/DL models for object detection, behavior prediction, and sensor fusion. You will invent and experiment daily building upon Yandex’s ML/DL and big data technologies as well as industry-leading tools and frameworks. In collaboration with our international team of scientists, engineers, and product managers, you will shape the future of autonomous vehicles.

Basic Qualifications

  • Ph.D. in Computer Science from a leading university
  • Fluent in ML/DL frameworks and methods
  • Proven record of applied research
  • Excellent writing and communication skills in English

Preferred Qualifications

  • Publications in top tier ML/CV conferences and/or journals
  • Industrial experience in  Machine Learning productization
  • Experience with Big Data technologies
  • Good coding skills in C++ and/or Python

Razor Labs is looking for a talented hands-on team leader with a strong background in Algorithmics.

Job qualifications

At least 3years of hands-on experience in Computer vision / Machine Learning / Deep Learning

Strong mathematical skills, deep understanding of linear algebra, deep learning, signal processing or image processing

Previous experience in leading teams

Proactive, can-do attitude

M.Sc. /Ph.D. in Computer Science / Electrical Engineering / Physics / Mathematic.

Stardat is a subsidiary of UST Global, serving as the company’s central advanced analytics and data science arm. UST Global is an American multinational provider of Digital, IT services and solutions which serves many top Fortune-500 companies.

We use cutting-edge technologies and state-of-the-art machine-learning algorithms to supply our customers with data science solutions to increase their revenues. We are currently looking for a new member to join our emerging team as a Junior Data Science Researcher.

What you will be doing:

  • Conduct research to find, develop and improve algorithmic solutions to a variety of ML problems in different fields (NLP, computer vision, recommendation systems, predictive maintenance and more).
  • Collaborate with other team members to solve difficult problems.
  • Work on end-to-end machine learning projects including planning, data processing, feature engineering, model selection, training and testing.
  • Explore the market and the existing solutions in the industry for problems we need to solve.
  • Engage with customers.

Desired qualifications and skills:

  • Graduate in Computer Science / Mathematics / Electrical Engineering / Physics who graduated with honors
  • Students in the above-mentioned areas – advantage
  • Strong mathematical orientation
  • A great team player with a can-do approach
  • Strong analytical skills, attention to detail and accuracy
  • Excellent problem-solving skills and creative thinking ability
  • Familiarity with machine learning techniques
  • Good programming skills – python is a big advantage
  • Ability to express yourself well in English

Stardat is a subsidiary of UST Global, serving as the company’s advanced analytics and data science arm. UST Global is an American multinational provider of Digital, IT services and solutions which serves many Fortune-500 companies.

We use cutting-edge technologies and state-of-the-art machine-learning algorithms to supply our customers with data science solutions to increase their revenues. We are currently looking for a new member to join our emerging team as a Senior Data Science Researcher.

What you will be doing:

  • Conduct research to find, develop and improve algorithmic solutions to a variety of ML problems in different fields (NLP, computer vision, recommendation systems, predictive maintenance and more).
  • Collaborate with team members and stakeholders to effectively manage the lifecycle of project.
  • Work on end-to-end machine learning projects including design, data processing, feature engineering, model selection, training and testing.
  • Explore the market and the existing solutions in the industry for problems we need to solve.
  • Engage with customers to frame their problems, translating from a general business pain to a measurable scientific problem. Define objectives, KPI’s and API’s for the proposed solutions.
  • Interpret and communicate findings and insights from the data to business partners.

Desired qualifications and skills

  • Graduate in Computer Science / Mathematics / Electrical Engineering / Physics who graduated with honors (PhD in these areas – an advantage)
  • At least 3 years of experience as a practicing data scientist with at least 5 years in the computer science industry.
  • Good python programing skills
  • Experience with the data science lifecycle, including data engineering, feature engineering, model building and evaluation, model deployment.
  • Understanding of data science/machine learning models and algorithms, including (but not limited to): deep learning (CNN, RNN, etc.), decision trees, unsupervised techniques (e.g. clustering, anomaly detection), NLP and statistical methods.
  • Strong analytical skills, attention to detail and accuracy.
  • Strong mathematical orientation.
  • A great team player with a can-do approach.
  • Willingness to impact beyond defined role.
  • High level of English communication (verbal and written)

Lead Data Scientist

Securedtouch

As the lead data scientist at SecuredTouch, you’ll be working directly on our core technology. You’ll work with rich data to keep improving our products while also deriving new and innovative data-driven solutions to the problems of fraud detection and user authentication.

Responsibilities

 – Designing and Implementing Machine Learning algorithms

 – Researching, identifying and analyzing new data sets and data sources

 – Overseeing all the data science related projects and managing the backlog

 – Working closely with the SDK developers and domain experts, improving the data collection

 – Working closely with engineers, integrating the algorithms into a real time production environment

Skills

 – Deep knowledge and experience with machine learning, algorithm development and data analysis

 – Hands on experience with Python and relevant data science packages

 – 3+ years of relevant hands on experience that includes developing and implementing machine learning algorithms

 – B.Sc degree in engineering / computer science / mathematics / statistics or other related field

 – M.Sc – Advantage

Notes

– Part time – 80%

Data Engineer

Namogoo
We’re looking for a talented Data Engineer, with exceptional skill for solving problems and creating amazing data systems.
Our DB’s contain tens of billions of varied events, hiding the secrets for creating the perfect user experience.
We re-invent ourselves and our products on a daily basis, and we’re looking for someone who can keep pace and make our fast growth possible.
In this role, you will be responsible for the data processes, DB’s and Algorithms, and will have the opportunity to take these products to the next level.

Skills & Experience

  1. 2+ years of coding in Python
  2. Experience working with Big Data technologies and strong SQL skills
  3. B.Sc. or higher in Computer Science or elite military programming course
  4. Experience in ML technologies – advantage
  5. Creative, enthusiastic and self-motivated

Data Scientist

Simplex

Simplex is an EU licensed financial institution that provides an online fraud-free payment processing solution. Simplex enables merchants worldwide to accept diverse payment methods, including credit card deposits and purchases, with zero exposure to chargeback risk.

Simplex’s AI technology analyzes every transaction using proprietary, fully automated, machine-learning algorithms that eliminate fraud while increasing conversion. By combining advanced payment processing with state-of-the-art fraud prevention technology, Simplex allows Crypto merchants to introduce credit card purchasing to mainstream users worldwide.

We are looking for a data scientist to join our amazing team.

As a data scientist at Simplex, you’ll:

  • Create, build and implement state-of-the-art fraud prevention Machine Learning models to minimize fraud.
  • Optimize our product flow to maximize conversion.
  • Create end-to-end solutions from research to a production grade service.
  • Extract as much information as you can from external data sources, including identity authentication and social media analysis
  • Handle various types of data from multiple sources – some of it tagged, some of it structured, all of it challenging
  • Innovate your way to the best possible solution
  • Mentor our research analysts team with best practices of data science and feature extraction, engineering and ranking

What you need to bring to the table:

  • At least 4 years of relevant work experience as a data scientist.
  • Experience in machine learning, statistical tools, applied mathematics, analyzing data.
  • Experience with predictive modeling.
  • Strong coding background – preferably Python/R.
  • A strong desire to learn everything about the company and make a difference.
  • Being creative, open-minded and bottom-up oriented.
  • Team player, motivated, dedicated and fun to be with.

Artificial Intelligence is playing an increasing role in sales organizations of all sizes. Enterprises communicate with customers over phone, on email, in chats. Salespeople rely on AI to analyze the growing data and provide actionable insights. For example: which deal could be at risk? what challenges my competition? Which email is more important to read first? What do I need to know before my meeting? And many other scenarios that we can’t yet make public!

Dynamics for Sales is a huge and healthy business already, and we are building a big team which centralizes its AI capabilities, and take them to the next level. We analyze a variety of data types: text, speech (voice), structured data; we build models which give actionable and timely insights; and work on advanced personalization and customization to empower sales people to excel.

 

Work and Responsibilities

As a scientist you will be a member in a team of scientists. You will:

  • Work on machine learning models in one or more of the following areas: natural language processing, personalization and recommendations, models on structured data, time series analysis.
  • Develop new methods and use existing methods to create useful product features.
  • Engage with product managers and with customers, to thoroughly understand business problems and design AI solutions accordingly.
  • Collaborate with researchers and practitioners around the company.
  • Represent the team in external and internal forums.

We provide the scientist with top-notch opportunities to work, grow, learn, as well as engage in academic activities such as publications and conferences, patenting, giving talks, traveling to customers and collaborators.

Qualifications

  • PhD/MSc in computer science, electrical engineering, information systems, mathematics or physics, with 1+ year of meaningful experience.
  • Interest in product, customers, the business behind the product and how they influence the algorithm.
  • Passion to solve problems in the field of large-scale data analytics.
  • Ability to balance creativity and execution.
  • Ability to code in high level languages (e.g., C#, Java), as well as scripting (e.g., SQL, Python).
  • Experience in AI projects that reached maturity – a strong plus.
  • Team player, communicative, highly motivated, innovation-oriented, can-do attitude.

Data Scientist

Linear B

Linear B is an analytics platform for software development teams. We are working with very interesting customers and help them to improve as teams and individuals by providing visibility and groundbreaking insights. We are looking to hire out lead data scientist that will be responsible for our theoretical framework, and applying them to our product and business model. This is a unique and a rare opportunity to be part of the product strategy and have a great influence on the company future.

Our algorithmic research team is looking for a strong RL & random process researcher, with a passion for modeling, creative problem-solving, and excellence.

In this role, you will be exploring exciting research avenues in healthcare, with emphasis on a patient’s medical journey.
You will be building game-changing medical solutions, lead complicated projects and make a significant impact on people’s health.

You must have proven experience in researching and developing machine learning algorithms and good interpersonal skills.

Important attributes

  • M.Sc./PhD in data-science or related fields.
  • A positive attitude, willingness to learn and teach, and the ability to lead by example.
  • 3+ years of experience as a data scientist / algorithms research and development.
  • Strong problem-solving skills.

Bonus points for

  • Good familiarity with Deep Learning.
  • Math background.
  • Strong programming skills.
  • Experience with PyTorch.
  • Passion for medicine, health, wellbeing, and the desire to make a positive impact.

About Us

K Health is transforming the world of medicine as we know it and it will touch many people's lives. At K Health – doctors, mathematicians, data scientists, data architects, and engineers work together to create a complex, challenging, consumer-facing product and we need smart, forward-thinking people to take us to the next step.

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