HyperCube is pioneering a vector database for AI/ML. We provide customers with search and recommendation capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.

If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases – this is an opportunity to join an exciting startup as one of the first employees.

Our current tech stack includes AWS, Kubernetes, Python, C++.

You should have:

• 5+ years of software engineering experience
• Proficiency in scripting languages, such as Python
• Proficiency in compiled languages, such as C++
• Building web-scale services and distributed systems
• Experience with operations – CI/CD pipelines, monitoring, and alerting

It's also necessary that you are a kind, thoughtful human being whom people like to work alongside. While not necessary, it would help to have experience with kubernetes, embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch).

SWAPP is on a mission to redefine architectural planning by automating ground-up construction projects and renovation floorplan layout design. Using cutting edge algorithms and data-driven decision making SWAPP partners with top real estate developers to maximize building efficiency and minimize construction costs.

As an Algorithm Researcher, you will develop algorithms that tackle challenges in procedural architecture such as optimal room placement, obstacle avoidance and multiple building generation and optimization. You will collaborate with Architects to translate planning best practices into algorithmic strategies in order to improve the quality of our generated plans.

The ideal candidate will be:

• An excellent problem-solver with critical thinking skills;
• Highly proficient in Python;
• A PhD or MSc. in Mathematics, Computer Science, Statistics, Physics or Engineering from top universities;
• Familiar with Non-convex Optimization and have hands-on experience with techniques like simulated annealing, linear programming etc.
• Experience with 2D and 3D computational geometry is a big advantage.
• Experience in Machine-Learning or other Data Mining technologies – advantageous.

Our algorithms span many disciplines so we realize you may not be familiar with all of them.

Therefore, you should be:

• A highly independent team player: you can learn domain knowledge by asking the right questions and execute on your own;
• Able to communicate your thoughts, ideas, code and conundrums to your colleagues.

We are looking for both full-time and part-time researchers. Working on your PhD? Talk to us!

Our offices are located in Tel Aviv, near Azrieli but currently most work will be done remotely.

Razor Labs is the largest AI company in Israel seeking to revolutionize the processing and manufacturing industry with state of the art solutions. We are both product oriented and project oriented with an emphasis on the mining, manufacturing, retail and medical sectors. We have a HQ at Israel (Tel Aviv) and another office at Australia (Perth).

Our bread and butter are AI and machine learning algorithms, focusing on data, vision, video analytics, 3D, resource allocation and reinforcement learning. We build a powerful ecosystem of engineers, working collaboratively, creating creative and efficient solutions, fast, in a family oriented environment. Working in either fast paced POC’s or long term productization.

Some of our expertise include

* Anomaly detection & malfunction prediction

* Process optimization (offlineonline)

* Explainability modules

* Point cloud detection, classification and measurements

* Medical and biological imaging

* Vision Thermal video detection, classification and tracking.

* Non linear optimisation and Q learning

* Medical: Computer Aided Diagnosis

* Signal Processing and DSP algorithms

What will you do:

• Turn in-house developed algorithms and neural networks into real products.
• Work with the latest and greatest technology stacks in the worlds of AI.
• Work as a part of the team in hands-on development of cutting-edge technologies using NVIDIA’s technology stack – from GPU architecture through CUDA, inferencing packages such as TensorRT, and high-level abstractions such as Keras.
• Work closely and collaborate with stakeholders outside the team, including project managers, deep learning team leaders, presale engineers, and customers’ technical contacts – to promote the success of our products and solutions.
• Actively research best practices and new technologies to allow Razor Labs to maintain its technological edge

What you must have:

• Strong experience and exceptional coding skills in Python
• Experience with NVIDIA TensorRT or other deep learning inference optimization libraries- Advantage
• Problems solving and out of the box thinking abilities
• Excellent team work
• Deep interest in the AI world and the opportunities it holds

What would be an advantage to have:

• B.Sc. in Computer Science or another relevant scientific degree
• Experience with deploying deep learning solutions
• Experience with video streaming protocols
• Experience with deep learning frameworks
• Experience with different cloud providers (AWS, gcloud, Azure)
• Experience working with diverse technologies and frameworks
• Linux proficiency

About Us

Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including Wish, Prada, Aldo, Finish Line, and many more. We're privately funded and VC backed, and our recent Series E round raised $165 million with a valuation in excess of $1 billion.

About the Role

The Research and Data Science department is focused on bringing value to Riskified through the development of algorithms and analytical solutions. As a data scientist in the research department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more)."

The Decision Optimization team is responsible for the Research behind many of Riskified’s new offerings in addition to providing full global optimization of the company's decision funnel. The start-up-like team uses versatile methods (such as classification, time-series, NLP, online-experimentation, etc.) to optimize each product in it’s own unique way. We work in big-data settings (e.g. spark, kafka, etc.) using state-of-the-art environments (databricks). We are responsible for the design, research and development of these tools, hence part of our work includes writing production code.

We are looking for a Data Scientist, with a strong background in modeling and model evaluation. Experience with graph theory, NLP,  time-series and anomaly detection is a big advantage.

What You'll Be Doing

• Design algorithms to challenge problems with off-the-shelf and custom-made models
• Evaluate these models in an off-line and online settings
• Work with Riskified’s Research Analysts to evaluate the solution’s requirements and the algorithm’s impact
• Collaborate with various teams within Riskified to enhance processes and expedite model development life-cycles

Qualifications

• At least 4 years of experience as a Data Scientist in the industry in versatile settings (classification, regression, clustering, time-series, NLP etc.)
• M.Sc/Ph.D. in exact sciences
• Ability to write clean and concise code, ideally in R and Python
• Creative thinker with a proven ability to innovate through data exploration and application of advanced solutions
• Solid understanding of the modeling process and experienced with data science best-practices
• Dedication and persistence when it comes to monitoring and improving performance after deployment
• Good communication skills, ability to clearly explain complex concepts

Life at Riskified

We are a fast-growing and dynamic startup with 500+ team members between our offices in Tel Aviv, New York City, and Shanghai. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Some Tel Aviv Benefits & Perks:

• Stock options for all employees
• Keren Hishtalmut and pension
• Extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen, lunch stipend, yoga, pilates, basketball, soccer, and more

Silverfort is a fast-growing cyber security startup, which provides a unique authentication solution for large enterprises. We utilize Machine Learning algorithms in order to improve our product’s ability to detect and prevent cyber-attacks. Our Data Science team is expanding in order to tackle bigger challenges. We are currently looking for a Data Scientist with vast real-world experience to work with us in our offices in Tel-Aviv.

Responsibilities:

• Developing innovative solutions to complicated classification and anomaly detection problems requiring real time and near real time solutions
• Manipulating and processing large amounts of varying types of data
• Working together with our software engineers, data scientists and product managers to design and implement world class products for our customers

Requirements:

• Bachelor’s degree in Computer Science, Statistics, Mathematics or another related field. Master’s degree, an advantage
• 4+ years of experience in developing and implementing Machine Learning algorithms in the industry or equivalent army service
• Proven Python programming experience
• Experience in the cyber security industry, an advantage
• Experience with AWS tools, an advantage
• A fast learner with outstanding problem-solving skills
• A true team player with strong communication skills

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.

Starkey Hearing Technologies is a medical devices company with more than 6,000 employees and operations in more than 100 countries worldwide. Starkey is looking to hire great talent to join our Advanced Development center in Tel-Aviv that will focus on redefining medical wearable devices with advanced sensors and artificial intelligence technologies.

Responsibilities

The Machine Learning Engineer primary objective is to lead, participate in, and support development and integration to introduce new innovative capabilities and technologies to Starkey’s products and services. The Machine Learning Engineer will take on major initiatives that clearly impact Starkey’s business and collaborate with multiple groups as well as external companies and academia.

The Machine Learning Engineer must be a strong, hands-on, engineer who loves technology and enjoy working in a high-pace dynamic environment. She/He must possess high-level technical expertise, creativity and internal drive, and is capable of working on loosely-defined tasks.

Job Requirements

Education

B.S + 4 years in Computer Science, Electrical Engineering or related fields, or M.S. + 2 years, or PhD years

Experience

At least 2 years of algorithms development and practical experience in the field of Machine Learning and Signal Processing development

Understanding of machine learning and deep learning models and data analysis.

Experience with Python is required

Experience in C/C++

Experience with TensorFlow / Pytorch frameworks

Knowledge in building and implementing algorithms for real-time applications.

Knowledge and experience in the following is a strong plus:

Experience with Big Data technologies – Hadoop / Firestore / BigQuery

Knowledge of audio signal processing

Experience in MATLAB.

Knowledge of embedded firmware development process

Knowledge of architecture of programming devices such as DSPs and Micro-controllers.

Keeping up with latest research and top industry standards and the ability to learn quickly new technics and tools is essential for this position

Company Description
Do you care about impact on people?
Do you want to publish your work in top tier-1 conferences?
Bosch Center for Artificial Intelligence in Israel is a unique place that researches and implements cutting edge technologies for Manufacturing, Automotive, Robotics, and Industrial Applications. We are looking for Computer Vision experts for various projects. If such topics interest you, then Bosch Israel is looking forward to your application!

Example Projects:

• Rider Assistance for Motorbike
• Developing vision systems for robotics bin picking

Qualifications

• Excellent PhD or MsC in Computer Vision
• Strong academic records and numerous tier-1 publications.
• Strong in Python and Deep Learning frameworks.
• Self-confident and responsible team player with excellent communication skills across all hierarchy levels
• Initiative, highly motivated and motivating character for the team and partners.
• Ability and willingness to define a research agenda to solve real-world problems. 
• Like to work in an interdisciplinary as well as international team.

Job Description

• Create something new: As a leading research scientist, you define a research agenda for an AI research field and conduct excellent research on real-world projects. The results should be published at the leading AI venues (NeurIPS, ICML, ICLR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, etc.) and transferred for implementation in Bosch products.
• Take responsibility: You are responsible for your research field and represent it internally and externally. In addition, you are of Entrepreneurial character and can push projects forward.
• Integrated implementation: Take responsibility for providing strategic and technical competence in a Computer Vision. High proficiency in Python, Deep Learning frameworks, and CV methods in general.