Startup

About the company:

Brodmann17 is developing game-changing Deep Learning and Computer Vision  algorithms for ADAS and Automated Driving. We’re pioneering state of the art software products that achieve the best performance and accuracy, making it an ideal solution for the most demanding challenges of the fast growing automotive market. Come and join us in one of the most interesting AI companies, contributing to a life-saving product!

About the job:

We are looking for a Deep Learning engineer to join the Brodmann17 Chief Scientist’s team. In this position, you will build best in class infrastructure and tools for developing deep learning based ADAS and Autonomous Driving products. You’ll be a key member of designing, implementing and extending this platform that enables fast, continuous and flexible Deep Learning algorithms development. You will work closely with excellent researchers to understand the needs and requirements of the research as well as keep up to date with latest developments in the field.

Main responsibilities:

  • Design, build and maintain software platform for end-to-end development of Deep Learning computer vision algorithms.
  • Improve the platform capabilities by keeping up to date with product requirements and academic publications.
  • Work closely with the research team to understand their requirements and integrate new capabilities.

Required: 

  • MSc or above in Computer Science or a related field
  • Relevant projects in Deep Learning / Computer Vision
  • Basic experience with Machine Learning or Deep Learning
  • 2+ years of excellence in Python coding capabilities
  • Experience with Object Oriented Programming and code design
  • Ability to understand and implement complex algorithms
  • Strong execution and ownership orientation, through design, development, and deployment 
  • A team player with good communication skills, both written and verbal
  • Ability to work as a strong contributing member of a small R&D team.

Advantage:

  • Knowledge of Computer Vision, Object Detection
  • Familiarity with toolkits for Deep Learning such as TensorFlow/PyTorch.

Sentient Synthetics, a HealthTech AI startup, is looking for a deep learning algorithms engineer to join our growing team that develops the next breakthrough in synthetic data generation and virtual biology systems for healthcare applications.

As an algorithms engineer, you will design and optimize Deep Learning solutions for medical imaging, digital Pathology, and thermal imaging.

Roles and responsibilities:

  • Design and implement deep-learning-based solutions
  • Optimize network performances

Job requirements:

  • BSc/MSc student in Electrical Engineering, Computer Science or an equivalent field with a GPA of more than 87
  • Background in Machine Learning / Deep Learning and Image Processing
  • Excellent implementation skills in Python
  • Experience in leading deep-learning technologies, and software tools like Tensorflow and Pytorch
  • Experience in digital pathology, medical imaging – Advantage
  • Knowledge of Open Source technologies – Advantage

Other Attributes we Value:

  • Strong ownership, delivery & problem-solving
  • Self-starter, resourceful

Loora is reinventing the way we learn languages, making it possible for anyone to have their own personal fun and engaging AI English tutor.

Our innovative and unique consumer experience relies heavily on the state-of-the-art in domains such as text generation, dialog, question answering, grammar correction and knowledge-grounded LMs.

We are looking for an applied Deep Learning Researcher to join our growing core team. You will lead projects from research to production, solving real-world problems while pushing the limits of conversational AI. Join us now to truly impact the product we're building!

Requirements:

  • MSc / PhD in deep learning or a related field (NLP, CV, Speech).
  • 2+ years of work experience building production ML systems.
  • 2+ years experience with PyTorch, Tensorflow, or similar.
  • Strong coding skills.

Even better if you have:

  • Experience with bringing academic research to industry applications.
  • Publications at workshops or conferences such as ACL, EMNLP, NAACL, ICML, ICLR, NeurIPS, CVPR.
  • A passion for learning languages.

We are looking for a team lead to join our Applied Research group in Tel-Aviv.

The applied research group is responsible for algorithmic and machine learning solutions at the heart of Fabric’s product. Examples include task time estimation, resource allocation optimization, demand prediction, and pathfinding algorithms for a multi-robot system. The group is growing and is now looking for a team lead to join.

Job Overview

As a team lead, you will define the roadmap for a team of applied researchers, and lead its implementation. The team will consist of 2-6 researchers (depending on the candidate's managerial experience), delivering both analyses (projects whose outcome is an insight) and working software services in production. The team lead role is expected to be ~50% hands-on (but may vary, depending on managerial experience and the size of the team).

Responsibilities

● Define a roadmap for the team (working closely with the Product organization).

● Lead the team in executing its roadmap, delivering analysis results and working software services in production.

● Own the team’s working processes: sync with stakeholders, design reviews, code reviews, deployments, retrospectives.

● Mentor, guide, and motivate the team.

Requirements

● MSc or higher in CS, industrial engineering, or other relevant quantitative fields.

● At least 7 years of relevant experience in research, data science and algorithms development, and familiarity with a variety of tools within these disciplines.

● Experience as a team lead or a tech lead.

● Good software engineering skills and proficiency in Python.

● Excellent collaboration and communication skills, and ability to take part in diverse cross-functional teams.

Data Science Student

XACT Robotics

About Us

XACT Robotics® is a privately held, early-stage company focused on the advancing the field of radiology by developing the world’s first and only hands-free robotic solutions that can significantly improve targeting accuracy, efficiency, and consistency in percutaneous radiology procedures.

At XACT, we embrace the philosophy of collaboration, tenacity, and extreme ownership. Our family culture empowers and inspires as we partner, develop, and execute meaningful technologies to make a difference in the lives of patients.  A career at XACT Robotics is more than a job, it’s personal.  Employees have passion, drive, and a winning spirit that allows for a fast-paced environment that is effective, empowering and fun.

Main Responsibilities

  • Research, design, and implementation of Machine/Deep Learning models for Computer-Vision, Image-Processing, Time-Series and Medical data analysis.
  • Design and implementation of data engineering pipelines and tools.
  • Taking a leading part in deployment and integration of complex algorithms into working products.
  • Become an active member of a multi-disciplinary R&D team and participate in cross-teams projects and activities.

Qualifications & Requirements

  • BSc or MSc student in Exact Sciences (Focusing on Machine/Deep Learning)
  • Hands-On experience with Python and its popular libraries (NumPy, Pandas, SciPy, Matplotlib)
  • Familiarity with ML/DL frameworks (Scikit-Learn, TensorFlow, Keras, Pytorch)
  • Collaborative and a Team player
  • Willingness to improve peoples’ lives

Advantage:

  • Experience with working on end-to-end DS projects
  • Experience in Deep Learning
  • Experience in Computer Vision / Image Processing
  • Experience with working in the cloud (AWS/Azure/GCP)

CTO

BobocoMM

About Us:

 

BobocoMM enables teams to realize their fullest potential by using machine learning to predict campaign performance by analyzing the creative and the content of the ad set.

Our AI powered multi-channel platform empowers growth teams to take data -driven decisions and actions on their ad creative and media assets at scale.

BobocoMM is aimed directly at marketers, who are inevitably responsible for generating an enormous amount of content across a variety of channels. The platform uses machine learning to automate all of the content creation process and understands every customer interaction, then delivers insights at scale.

We are a growing Tel-Aviv-based company with an active product (with users and customers), looking for an experienced full-stack developer for a CTO position. The position includes taking full ownership of the overall technical aspects of our operation and product development, hands-on software development, and management of R&D resources.

In our eyes, the CTO is The tech person driving the business agenda in the tech organization and understands what technology needs to be built and how. The face of the company’s technology & the person looking forward and breaking the glass is important.

The questions he would ask are “What technology do we need to build to achieve our business goals? How can we build it?”

What You'll Do:

  • A Bridge between Business Needs and Technology Capabilities.
  • Develop technical aspects of the company’s strategy.
  • Define and build development strategies that yield a competitive advantage.
  • Supervise system infrastructure to ensure functionality and efficiency.
  • Manage external technology partners.
  • Monitor KPIs and IT budgets to assess technological performance.
  • Use stakeholders’ feedback to inform necessary improvements to technology.
  • Communicate technology strategy to partners and investors.
  • Tech leadership and authority to complex projects, systems and technological decision.
  • Represent technology capabilities and vision into executive decision making.
  • Build a Technological Vision and Roadmap.
  • Bring in the long term approach into day to day decision making.
  • External Facing Technologist – Client, Partner and Ecosystem tech representative.

What You'll Bring:

  • +7 years of experience in Technology Leadership.
  • Understand predictive analytics and modeling processes.
  • 3+ years of experience with recommendation systems.
  • Experience with a multitude of technologies including – Python, Javascript, CSS, HTML.
  • Practical experience in back-end/front-end technologies, web and cloud applications.
  • Knowledge of technological trends to build a strategy.
  • Understanding of budgets and business-planning.
  • Excellent communication skills.
  • Leadership and organizational abilities.
  • Problem-solving aptitude.
  • A LOT of passion towards building existing technologies from the ground up. 
  • A super gifted and driven individual.
  • Both big picture + detail-oriented, calm and grounded, methodical and structured.
  • Care about making a positive impact, and get that the journey should be fun.

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:

At ZipRecruiter, we harness algorithms, machine learning and deep learning models to solve various matching, recommendations, search, NLP and general inference problems all aimed to find the best matches between job seekers and jobs.

We're looking for data science/ML researchers with a passion for problem-solving to join our team of data scientists and help us solve new and existing challenges. researching new models, developing high quality, high-performance code and constantly improving our solutions and expanding their scopes.

As a data science/ML researcher you'll be joining a team of researchers, ML engineer and data engineers working on interesting problems in various fields.

Key focuses:

  • Work with big amounts of super interesting and diverse data collected throughout Zip employment marketplace.
  • Conduct research and Implement SOTA papers with other ML researchers in areas like NLP and recommendations.
  • Develop production-level, scalable, machine learning pipelines and models.
  • Identify business opportunities in the domain of ML and communicate them to product
  • Contribute to the data science community at Zip.

Minimum Requirements:

  • Team player with excellent communication skills
  • Master's degree or higher in Computer Science / Mathematics / Statistics  or equivalent from a university.
  • Proficiency in Python programming language
  • Strong background in machine learning
  • Substantial industry experience – an advantage
  • knowledge in NLP and familiarity with Deep Learning – an advantage
  • Acting and thinking as an owner, with production environment in mind
  • Fluent in English

As part of our team you'll enjoy:

  • Competitive salary
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off

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.

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.

ML Tech Lead

Perceive Brain Health

Perceive is an early-stage digital health startup focused on voice-based medical screening.

We’re looking for a collaborative and highly motivated Machine Learning Tech Lead to help us extract value from our data and develop potentially life-saving algorithms.

In particular, we need a Machine Learning expert able to develop data-driven algorithms combining Deep Learning methods with classic speech analysis techniques.

Qualifications:

– B.Sc. in Computer Science, Electrical Engineering or Mathematics. M.Sc. a plus.

– 4+ years of experience in coding, at least 3 years of practical experience in Data Science techniques and algorithm development.

– Strong coding skills.

– Able to adjust and implement state of the art ML algorithms.

– Experience in Deep Learning, and specifically for speech problems.

– Proficiency with Python and basic libraries for ML.

– Deep knowledge of math techniques, probability, statistics and algorithms.

Data Scientist

Supersmart

Job Overview

Supersmart is a company developing smart solutions for the retail industry.

We are looking for a Data Scientist who will join our data science team and help us develop advanced data driven solutions for our products. The team also supports our product, sales, leadership, and marketing teams with insights gained from analyzing company data. The ideal candidate is a Junior – Mid level Data Scientist with 1-3 years of experience building and working with ML models. They would have experience using a variety of machine learning methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities for Data Scientist

  • Discover & suggest and asses new data sources and data gathering techniques.
  • Assess the effectiveness and accuracy of data sources and data based algorithms.
  • Develop custom data driven models and algorithms based on custom datasets.
  • Use predictive modeling to increase and optimize customer experiences and other business outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications for Data Scientist

  • Strong problem solving skills with an emphasis on product development.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts and experience with their applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 1-3 years of experience manipulating data sets and building models, has a Bachelor’s degree in Mathematics, Computer Science, Electrical engineering or another quantitative field, and is familiar with the following software/tools:
    • Good Python coding skills, Experienced in development in Python.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases
    • Experience creating and using advanced machine learning algorithms and statistics.
    • Experience visualizing/presenting data for stakeholders using existing tools.

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