We would like to investigate methodologies for putting small obstacles (that pose risk to motorbikes like: stones, potholes, oil spills, rain puddles, etc.) artificially on existing movies taken from a camera head of a motorbike rider. Using GANs (Generative Adversarial Networks), you will review methods, implement them, adapt and change them, and invent new methodologies that solve this task of generating objects in movies.

Goals

• Develop and deliver new methodologies to a 2-wheelers client 
• Opportunity to publish the internship results in tier-1 or 2 conferences.

Qualifications

• During/After PhD or MsC graduate student in CS, EE, IE faculties.
• Good familiarity and experience in Computer Vision and training neural networks using Pytorch/Tensorflow and python in general.
• Like to work in an interdisciplinary as well as international team.

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow. We build custom software and custom models for clients from multiple industries, including Defense, Security, Health, and Automotive. We think long-term. Forming long-lasting strong relationships and partnerships with our clients is at the core of our strategy. 

Who you are?

As a Computer Vision Engineer you will have an important role in our Data Science and AI team. You are a Deep Learning enthusiast, with a significant, hands-on, experience with deep convolutional neural networks for detection, classification and segmentation of images and objects. You understand that, sometimes, good old ML modeling and classical image and signal processing techniques are essential, and you enjoy combining them with end-to-end DL approaches. 

What’s this job about?

As a Computer Vision Engineer, you will be responsible for:

• Design, develop and train state-of-the-art computer vision algorithms. All the way from rapid prototyping to production-ready models (object detection, fine-grained object classification, change detection and more).
• Collaborate with engineers in our data-science, full-stack software development and product-management teams – to implement value-adding solutions.
• Evaluate your results and improve your solutions based on business metrics and scientific train-val-test methodologies. 
• Explore innovative techniques, such as active-learning, self-supervised learning and generative models, and evaluate their usability to our use-cases. 
• Drive the end-to-end execution of Computer Vision projects, including understanding the requirements and goals, set the criteria, data exploration, model selection, training, and evaluation, all the way to full-scale implementation and integration. 
• Provide continuous feedback and support to fellow Data Scientists in the team, all of them are brilliant minds and enthusiastic people just as you are, some of them are less experienced than you.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of Data Science disciplines and related fields. Your day-to-day will be focused on Computer Vision, but you will also be involved in exploratory projects in the fields of structured data and time-series ML, NLP and competitive Data Science.  
• Continuously evolve yourself by keeping up to date with the latest Data Science, Machine Learning & Deep Learning technologies.
• You’ll be reporting to our CTO. 

Requirements

Personal

• You flourish when you are surrounded by talented, sharp-minded people.
• You love doing things yourself. You like mentoring others.
• You are a great communicator. You write, you talk, you appear, you communicate. 
• You are open. You understand that the only reason you have reached so far is that you were able to stand on the shoulders of giants. You truly believe the principles of the open movement – Open Source, Open Data & Open Innovation. 
• You are a competitor. “Bestfitting” Kaggle winner is your role model. 

Technical

• Deep technical expertise in Computer Vision and Deep Learning. 
• BS/MS degree in Computer Science, Engineering, or a related field. 
• At least 3 years of successful, hands-on, ML/DL/DS positions with a significant Computer Vision experience.
• You can code. Your code quality meets the typical Software Engineering standard (and not only the typical Data Science standard). 
• Proficient in Python.
• Experience with machine learning frameworks and libraries (Tensorflow, Pytorch, Keras).
• Experience with overhead imagery (aerial / satellite imagery) and with GIS – an advantage.
• Experience with Active Learning techniques – an advantage.
• Experience with cloud computing environments (e.g. AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – an advantage.
• You are comfortable at reading academic papers and reproducing their results.

Our Process

If you want to apply, please send your CV or Linkedin URL to hr@webiks.com.

Please write “Computer Vision Engineer application” in the email subject line.

Please attach to your email links to at least two of the followings:

1. A paper you have published (arXiv included). 
2. A technical blogpost you have written (English or Hebrew).
3. A lecture/presentation you gave in a meetup/course/conference.
4. A Kaggle competition you have participated in and scored well.
5. An open-source project you have contributed to.
6. A Jupyter / Colab notebook you have published.

Smadar, our HR manager will then contact you and set up an introductory call. If relevant, we will then set up interviews with Shachar, our CTO, and with Omer, our CEO, and together we will take it from there.

Description: 

We are looking for an experienced data analyst with passion for machine learning and data science to join our core team and work closely with our product, data science and r&d teams to discover data driven insights regarding our customers ML models behaviour and health and their product usage

Required:

• 2-3 years of experience as Data analyst
• Proficient with SQL
• Experience with Python and Jupyter, especially around data querying and visualization packages such as: pandas, seaborn and more
• Theoretical understanding of core ML concepts 
• Outstanding analytical skills
• Quick learner, proactive/can-do attitude with high attention to details
• Data driven “story-teller” that can communicate insights and recommendations effectively
• Team player, influencer, positive person with a can do attitude

Nice to have:

• Experience in ML projects and intensive EDA (Exploratory data analysis)
• Experience with BI tools like Redash, Tableau, PowerBI, or others 
• Previous experience in customer facing roles such as Sales engineer

The Algorithm Engineer will fulfill a significant role in the R&D group that steers the technological road map of the company. The candidate should have a strong mathematical background, analytic and algorithmic approach, experienced in developing and implementing machine learning based algorithms preferably for real time applications. System understanding and product-oriented approach is required.

• R&D in the field of signal processing and machine learning algorithms supporting Medasense core technologies
• The candidate will fulfill a significant role in the R&D group that steers the technological road map of the company.
• Feasibility studies of sate of the art machine learning approaches for use in company projects
• Data analysis – prepare and analyze historical data and identify patterns
• Own and manage knowledge sharing within a community

Report to: SW engineering director

Requirements:

• B.Sc/M.Sc. Degree in Exact Science (Physics/Computer Sciences/Mathematics) or Electrical/Computer/Biomedical Engineering.
• At least 2 years of algorithms development proven experience in the field of machine learning and signal processing.
• Strong programming capabilities (Matlab/C/C++/Python)
• Experience in medical devices and physiological signal processing- advantage
• Experienced in developing and implementing machine learning based algorithms preferably for real time signal processing applications
• Strong mathematical background, analytic and algorithmic approach
• Resourceful, independent, motivated, team player and thorough- impulsive mission completer, strives for excellence

Avanan helps organisations secure their most attacked applications – their cloud email and collaboration platforms. With over 2,000 paying customers,

Avanan is one of the fastest-growing IT Security start-ups, leveraging novel machine learning technologies to block the most sophisticated hackers.

Our R&D center in Tel-Aviv (Sarona) is expanding, and we are looking for brilliant engineers that enjoy challenges, thrive in an exciting start-up environment and want to be part of an excellent team.

As a Senior Data Scientist, you will be responsible for developing and maintaining exciting security products utilizing advanced models for Avanan’s customers.

This is all done in a fast-paced, agile development cloud environment – handling tens of millions of transactions daily.

You will develop brand new algorithms and models, Improve existing machine learning solutions all serving large scale production real-time environment.

The domain you will tackle will involve cutting edge cybersecurity cloud solutions, like phishing, impersonation, anomaly detection, and more,

All implemented with the latest AWS tools and managed services such as Aurora RDS, Athena, Kinesis, Kafka, SQS, Elastic Search, ElasticCache, and many more.

You will do research, facilitate data for model building, and develop high impact real-time components for online analysis.

Responsibilities:

•Build production-grade, large-scale machine learning models security products.

• Design and develop data-driven applications in an agile development environment

• Design and develop AI back-end solutions and APIs

Requirements:

• 5 + years of experience with practical, production-deployed machine learning services.

• Bachelor’s Degree in Computer Science or related field plus 8 years experience in software engineering

• Strong experience building machine learning models in Python

• Experience in and broad knowledge of relational databases and the ‘big data’ ecosystem and tools

• AWS experience – an advantage

Soluto is a service aiming to help users enjoy technology. Millions of customers use the service to learn new stuff or get help from our Experts. We want any interaction with our service to be as meaningful as possible for the customer, be it a notification they receive that helps them learn a new trick on their iPhone, or if they ask an Expert to visit them at home to help set up a new smart device. As the service evolves, we see a growing demand to apply data science practices throughout our product. We’re looking for an experienced data scientist to take part in leading this effort.

Responsibilities

• A-Z responsibility on Data Science projects, from research and modeling all the way to production deployment, testing and monitoring  
• Build and deploy conversational AI solutions 
• Create recommender systems based on Machine Learning models
• Design large scale models using various methods such as NLP methods, classification algorithms, and deep learning models
• Communicate findings to Product managers, developers, and other stakeholders
• Work closely with Product managers to identify and answer meaningful product questions that support decision-making
• Initiate and drive new data ideas to continually increase product quality

Qualifications

• B.Sc in a relevant technical field is a must. M.Sc. or Ph.D. in a relevant technical field – an advantage
• Experience with NLP is a must
• Extensive experience solving analytical problems using quantitative approaches
• Experience working on product development teams – an advantage
• A passion for empirical research and for answering hard questions with data
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Fluency with at least one scripting/programming language like Python / Scala / Perl / Java / Go/Ruby/PHP
• Good familiarity with relational databases and SQL
• Expert knowledge of analysis tools like R, Matlab, SAS, Octave or Python-Pandas

Description

DAGsHub is looking for a great Developer Advocate to join our early team. Community is at the heart of our mission and plays a critical role in our future.

DAGsHub is creating a home for data science collaboration – the field is rapidly developing, creating value and disrupting industries, and we are living in the Wild West. Now is the best time to create a place where data scientists can figure out how to work together.

As one of the first members of the team, you will have a central role in shaping the company, its culture, its future and its product.

Come help us engage and expand our community of data scientists and machine learning engineers, so that we can build the best tools for their workflow, and enable Open Source Data Science to flourish.

You will

Be part of the founding team – have a ton of impact on our vision, understanding the community's needs and prioritizing how it should be brought to life.

Take ownership, responsibility, and pride in building and leading a community of data professionals. Accelerate the adoption of DAGsHub within the data science and machine learning community.

Work on a wide variety of projects and tasks – no two days will be alike.

Create or initiate collaborative data science projects that are valuable to the community or do social good, and show off how and why to use DAGsHub.

Write great documentation, tutorials and blog posts, and give talks and lectures at events on a regular basis.

Communicate directly with the DAGsHub community to enable and support them, gather feedback and generate insights into what really matters to them.

Work with us to improve the product and its adoption – understand the users, prioritize features and bugs, spread the word, research tech and business trends, think ten steps in advance to where the product should be going and how it can get there faster.

Build relationships and partnerships with prominent researchers and organizations.

Qualifications – You are:

Curious and passionate about data science and MLOps – a tech geek at heart. You enjoy discussing data science technologies online.

A data scientist with 3+ years of industry experience working on data science in production OR A software developer with 3+ years of industry experience with subject matter expertise in data science.

An experienced public speaker.

Experienced in writing tutorials, docs, sample apps or other technical content and teaching about complex technical topics.

Outgoing, enjoy interacting with new people and creating new connections.

You have a growth mindset – our team really values learning and improving, and we seek out painful and inconvenient truths. It's OK not to know everything, if you're willing to put in the work to learn.

A fun person to work with! We are in this together for the long haul.

Bonus – You Have

Launched a developer brand or product and grown a thriving community.

Created or maintained an Open Source project.

Been a community leader, responsible for scaling a developer community.

Active social media accounts in a data science / machine learning context.

Used a variety of data science ML tools, frameworks and environments such as Jupyter, RStudio, Tensorboard, Shap, DVC, MLflow, FastAI.

Experience with programming languages other than Python such as SQL and R and other tools and systems community members are likely to use such as Docker, Linux and Bash.

About DAGsHub

At DAGsHub, we're building the next generation GitHub – for data scientists & machine learning engineers. We provide everything data science teams need to manage their projects and collaborate. We are transforming well established software practices into their natural equivalents in the data-science wild west, and creating new effective ways for data scientists to work together.

Our product helps people and teams discover data science experiments & projects, understand the thought process behind experiments, reproduce results and incorporate & review changes in code as well as data and models. We believe this is the way to create the most vibrant collaborative data science community in the world.

DAGsHub is a well-funded, high growth startup building tools for the Open Source Data Science community, with a fast-growing international community on the platform.

Working Location: Bangkok, Thailand

Full visa sponsorship and relocation assistance available for eligible candidates.

About Agoda

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

 In This Role, You’ll Get to

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference

What You’ll Need to Succeed

• 3+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.

It’s Great if You Have

• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
• Experience in NLP, image processing and/or recommendation systems
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop
• Experience in data science for e-commerce and/or OTA