Senior

The Analytics organization at Earnix is charged with developing state of the art analytical and AI/ML solutions & algorithms that are embedded into Earnix suite of products. We are looking for an experienced, innovative & business savvy Analytics leader to join us and help us seek the next big analytical thing.

Requirements

  • Advanced degree (MA/MS.C. or higher) in Computer Science/ Data Science/Statistics/ Engineering/ Economics or any related quantitative field with focus on Data analysis, applied statistics, machine learning/ deep learning
  • At least 8 years of practical experience as a researcher with significant business experience
  • Expertise in a wide range of machine learning/ statistical/ data-analysis and state of the art algorithms & applications
  • Experience in working with external data sources, real time data & processing big data covering both structured and unstructured data
  • Practical experience in addressing real world business problems. (e.g. pricing, product personalization, event detection, etc…)
  • Experience in building end to end analytical solutions in financial services or other relevant industries (e.g. retail, web marketing, cyber etc)
  • At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals
  • Proficiency in Python is a must
  • Strong technical and technological background with good familiarity of a wide range of ML/AI&Big data tools/ solutions/platforms with particular interest in open source solutions/tools (e.g. AWS Sagemaker, MLOps tools, etc…)
  • Sufficient mathematical background for reading applied academic papers
  • Strong verbal & written English communication skills (including presentation skills
  • Leadership & managerial skills- ability to initiate and lead projects, development of people, collaboration with other departments, assertiveness
  • Creative and innovative mind
  • Fast learner & self-motivated
  • Thinking outside of the box
  • Ability to see the big picture and think broadly
  • Track record of successful innovation and its implementation
  • knowledge of Java/ Scala or other programming languages is an advantage
  • Insurance and/or banking knowledge & experience is an advantage

K Health is a venture-backed, fast-growing start-up with a mission to use the power of shared knowledge to to get everyone access to higher quality, more affordable health care. We’re looking for mission-driven individuals to join our growing team and help us eliminate healthcare inequalities and build a better, healthier future for us all.

Named to the 2021 CNBC Disruptor 50 list, K Health is using Artificial Intelligence (AI) to build the smartest digital healthcare platform in existence. Our data-driven app brings together the knowledge of thousands of doctors and the anonymous medical records of millions of people to help diagnose and treat what’s wrong. We offer a free symptom checker and 24/7 access to doctors to ask questions, refill prescriptions, get care for your kids, and more. Right from your phone—no insurance needed.

Since we were founded in 2016, K Health has raised over $270M in VC funding. Our recent valuation brought us to Unicorn status. Our current partners include the Mayo Clinic Platform, Anthem, and Maccabi Health Services.

Our data science group is composed of exceptional MSc and Ph.D. graduates and experienced researchers, and is deeply committed to scientific excellence. We solve complex data-driven algorithmic and statistical modeling challenges from the very forefront of the health informatics research domain.

In this role, you will build game-changing medical ML solutions that will provide immediate medical help for millions of people around the world. You will have an end to end responsibility for your models – from ideation and research to full productization and monitoring.

You will be exploring new research avenues, lead diversitized projects, and make a significant impact on people’s health. You will be a key player in a multidisciplinary team consisting of Data Scientists, Analysts, Physicians, Developers, Product managers and more.

 This is a senior technical role requiring an MSc or PhD, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.

Requirements

  • M.Sc./PhD in STEM or related field with emphasis on ML / data science.
  • 3+ years of industry experience implementing machine learning solutions.
  • High expertise in Machine learning and statistical modeling
  • Experience in formulating and solving complex research questions in the machine learning domain towards applicative solutions
  • Strong background in Python.
  • Experience in data analysis and visualization
  • A positive attitude, curiosity and willingness to learn and teach.

Bonus points for

  • Experience in computational health and/or medical informatics
  • Experience in developing DL models
  • Passion for medicine, health, wellbeing, and the desire to make a positive impact.

Artbrain is a revolutionary company in the art and collectibles ecosystem.

We are transforming the art and collectibles market by creating a technology that matches collectors with the items they love. AKA a recommendation engine tailored for this amazing domain. But this is only the tip of the iceberg, and we are now working on our next suite of solutions.

We are looking for a Head of Machine Learning with great CS skills to lead our ML development. You should be an enthusiastic ML developer that lives & breathes ML while not being held back by your software skills. Our Machine Learning stack consists of all of the various algorithmic domains, from NLP to Reinforcement Learning. We want to emphasize that our perfect candidate should be able to “fly solo” by leading projects from end to end.

Core Requirements

  • M.Sc in Machine Learning or related fields
  • Hands-on experience in building ML systems
  • 3+ years of experience in software development
  • Good mathematical foundations

What we can offer a Head of Machine Learning

  • A competitive compensation package and company benefits offered
  • You will have the freedom and expectation to explore complex Machine Learning and Data Science solutions
  • Unique access to industry leaders in Artificial Intelligence and Engineering

Join an innovative multi-disciplinary team developing cutting-edge computer vision and AI-processing technology for edge devices and Sony image sensors.

Primary responsibilities

  • Mastering complex designs and applications in the field of deep learning in close collaboration with HW team.
  • Take part in all aspects of digital design verification – from specifications, test plan, execution, debug and coverage, in block-level to chip-level environments.
  • Investigate, develop and work with advanced verification methodologies implementing state-of-the-art methods.
  • Close collaboration with design, software and algorithms teams in debug, SW bring-up and developing shared resources.

Requirements

  • B.Sc. in Electrical or Computer Engineering/Computer science.
  • At least 3 years experience in the Verification flow of complex designs from test plan definition to coverage closure
  • Experience in Specman – an advantage
  • Experience in UVM – an advantage
  • Experience in Formal Verification – an advantage
  • Background in processors architecture and principles – advantage
  • Background in deep learning, computer vision, communication or DSP – advantage

About NCR

Helping retailers and consumers interact is what we do – and what we’ve done for 130 years. NCR’s portfolio of retail solutions enables seamless consumer interactions, whether in the store, on the go or at home. Our innovative solutions address retailer needs in multiple industries from grocery to general merchandise to convenience stores and specialty retail including POS software, hardware, kiosks, digital signage, self-checkout, services and more.

What are we looking for?
We are looking for an experienced Senior Data Scientist to join our fresh R&D team. If data and statistics are your breakfast, algorithms are your dinner, and you’re passionate about solving complicated real-world challenges, deliver impact, and investigating human phenomena – please reach out!

Responsibilities

  • Derive insights from unique and challenging big retail datasets.
  • Research, develop and integrate data science and machine learning algorithms in customer workflows.
  • Conduct end-to-end applied research, from business understanding, through EDA to models designing, construction and deployment.
  • Communicate outcomes intelligibly to stakeholders.
  • Boost our evolving team with creativity, motivation and innovation.

Must have

  • BSc in Computer Science / Mathematics / Electrical Engineering or equivalent quantitative academic field.
  • 4+ years of programming experience in Python programming and SQL.
  • 4+ years of machine learning hands-on experience.
  • English fluency.

Nice to have

  • Experience with the retail business – problems, needs and opportunities.
  • Experience with software – algorithms, distributed computing (Spark/dask), open source projects experience, Docker, GIT.
  • Experience with developing AI models on cloud environments (GCP / AWS / Azure).

We are seeking an enthusiastic, collaborative, and resourceful Senior Data Scientist to join our company. Here, you’ll design and run experiments, research new algorithms, find new ways of solving complex and ambiguous problems, and bring your solutions all the way to production. As a founding member of our data science organization, you will take our AI solutions from infancy to maturity, and take a key part in building a top-notch organization of data science professionals.

What you will be doing:

  • Own DS processes end-to-end: from data collection, sanitizing, and preprocessing, through model training and development, all the way to deploying models to production.
  • Designing and building ML pipelines infrastructure for production and research alike.
  • Cooperate with the product, engineering, and various stakeholders to help set a research agenda that best serves our product and our customers at scale.
  • Take a leading part in building our research program, help hire and train junior researchers, and help set the team’s culture and foundations for significant growth.

Qualifications:

  • An advanced degree in a relevant academic domain, or equivalent experience.
  • 4+ years of hands-on experience in applicative research, and in building and deploying ML/DL-based solutions.
  • Proficiency in Python, ability, and motivation to write production-ready code.
  • Strong communication, and collaboration skills.

Preferred Qualifications:

  • Experience with one or more of the following domains: Computer Vision, Signal Processing, Time Series Analysis.

  • Experience with one or more of the following technologies: TensorFlow, PyTorch, Scikit-learn, OpenCV.

  • Experience in working closely with engineers and in an engineering-oriented context.

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.

Zone7 is a cloud-based platform delivering AI algorithms that analyze athlete data to reduce the risk of injury and improve athlete performance. By analyzing data from thousands of athletes, we find patterns that lead to injury or peak performance and apply these learnings to create optimal recovery and workload plans.

Zone7 is based in SF and Tel Aviv and she is looking for an experienced Data Scientist that can bring a substantial added value to their data science team.

Position Overview

We’re looking for an experienced Data Scientist that can bring a substantial added value to our data science team. This position will include analysis of match stats, performance data, physiological tracking, biomechanical screening, and health biomarkers, to upgrade existing algorithms and develop new algorithms, alongside the delivery of algorithm outputs to a non-tech environment. This position will also enable you to take a key role in further building the company, alongside having a decisive influence on our product, data science stack, and infrastructure.

What You’ll Do

• Build our ML & DL models and recommendations engine.

• Bring in new methods to upgrade our platform's performance and quality of insights.

• Develop the infrastructure we use to import and integrate the different data types we analyze.

• Design and implement data science stack upgrades that will enable scaling the solutions we currently offer.

• Tailor our solutions for elite organizations’ specific requirements

Skills and Requirements

• Be able to successfully work in a team and communicate opinions and insights to help develop the company.

• significant experience in problem-solving using ML and DL methods.

• Experience with Cloud Big Data computing design, provisioning, and tuning.

• Experience with Big Data technologies (e.g., Spark, Hadoop, NoSQL engines, different data file formats).

• Knowledge of scripting and programming languages such as Python is mandatory.

• Experience with data from sensors and time series data is an advantage.

• Passion for sports is an advantage. A background in competitive sports even more so.

• Knowledge in life science, especially exercise physiology or biomechanics is an advantage as well.

 

About us: NeuroHelp is an early-stage neurotech startup company working to improve the health and quality of life of individuals with neurological conditions. We are developing solutions for detection, prediction and preemptive alerting of epileptic seizures. Our innovative algorithms combine advanced computational models of neural dynamics with state-of-the-art machine learning. 

NeuroHelp's unique A-team has diverse expertise in theoretical neuroscience, machine and deep learning, neurotechnology, medical aspects and an experienced management team. NeuroHelp has won first places in two startup competitions: SilicoNegev and eHealth Ventures. Presently, we are based in Beer-Sheva with plans to extend to the central area of Israel.

Job Description:

We are looking for a talented and motivated individual to join our elite team which is building machine-learning-based solutions for epileptic seizure detection and prediction through EEG data. As a senior software developer, you will design and build state-of-the-art continuous ML training systems that overcome challenges, such as training at scale and reproducibility. This will involve using cloud infrastructure for MLOps orchestration, including data pre-processing pipelines, monitoring and model serving.

As a mentor for other software developers, you will enforce best practices, including automating CI/CD towards Continuous Training. You will have a direct impact on the technological path of the company, working side by side with the head of the R&D team and talented brain scientists, specializing in computational neuroscience. Your work will have a direct impact on the lives of patients with epilepsy worldwide.

Requirements:

  • BSc in Computer science or equivalent
  • Strong software development skills in Python
  • Experience in designing, building and productionizing industry level software
  • Minimum 4+ years of experience in hands-on software development and applying ML best practices to real-world problems
  • Linux hands-on experience
  • CI/CD system hands-on experience (e.g. CircleCI, Jenkins, Github CI/CD, AWS CI/CD)
  • Experience with version control of machine learning models and data, for enhanced reproducibility.
  • Hands-on experience with cloud based-solutions (focusing on AWS and K8s).
  • Advantage: Hands-on experience in the healthcare and digital health industries.

About us: NeuroHelp is an early-stage neurotech startup company working to improve the health and quality of life of individuals with neurological conditions. We are developing solutions for detection, prediction and preemptive alerting of epileptic seizures. Our innovative algorithms combine advanced computational models of neural dynamics with state-of-the-art machine learning. 

NeuroHelp's unique A-team has diverse expertise in theoretical neuroscience, machine and deep learning, neurotechnology, medical aspects and an experienced management team. NeuroHelp has won first places in two startup competitions: SilicoNegev and eHealth Ventures. Presently, we are based in Beer-Sheva with plans to extend to the central area of Israel.

Job Description:

We are looking for a talented and motivated individual to join our elite team, which is building machine-learning-based solutions for epileptic seizure detection and prediction through EEG data. As a senior data scientist, you will learn, implement and productionize state of the art deep learning and other machine learning models. You will conduct hands-on research on EEG data, interpret the results and extract insights. The work will include analysis of features and statistical properties extracted from the EEG in order to detect drifts and trigger actions if machine-learning models become obsolete. Together with other R&D team members, you will create a continuous training infrastructure that automates retraining when new data are collected. 

As a mentor for junior R&D members, you will enforce best practices through code reviews and knowledge sharing. You will have a direct impact on the technological path of the company, working side by side with the head of the R&D team and talented brain scientists, specializing in computational neuroscience. Your work will harness interpretable machine learning models to assist patients with epilepsy and impact their quality of life.


Requirements:

  • BSc/MSc in Computer science, Software Engineering or equivalent
  • Knowledge in statistics
  • Strong understanding of theory and practice behind machine learning and deep learning 
    • Classic ML algorithms: e.g. Tree-based, boosting, PCA 
    • Dimensionality reduction methods
    • Time series analysis – including classic algorithms and contemporary temporal models
    • Representation learning
    • Generative algorithms
    • Advantage: Knowledge in geometric algorithms
  • 3+ years of hands-on experience in the industry
  • Strong software development skills in Python
  • CI/CD, MLOps, productionizing ML – a huge advantage
  • Cloud experience with AWS in orchestrating ML solutions
  • Advantage: Hands on experience in the healthcare and digital health industries
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