Machine learning

Seeking Alpha is the market leader for crowdsourced equity research in the USA. The company is the premier website for actionable stock market opinion and analysis, and vibrant, intelligent finance discussion. Each month our crowdsource investment analysis draws an audience of 5.2MM+ monthly visitors to our real-time alerts products on email and mobile. We employ 290+ people across our operations in New York, Israel and India.

We handpick articles from the world’s top market blogs, money managers, financial experts and investment newsletters, publishing 500 unique articles and news updates daily. The company gives a voice to over 5.5MM registered users, including 12,000+ contributors and individuals averaging 130,000+ comments a month, providing access to the nation’s savviest and inquisitive investors.

Our site is the only free, online source for over 5,000 public companies’ quarterly earnings call transcripts, including the S&P 500. The company was named the Most Informative Website by Kiplinger’s Magazine and has received Forbes ‘Best of the Web’ Award.

Responsibilities: 

  • Be part of a new data-science team where you will lead end-to-end ML projects. (from business understanding through data extraction, research, algorithm development, evaluation, optimization & A/B testing to model deployment).
  • Take part in developing new cutting edge algorithms based on various ML techniques.
  • Improve our ML pipeline.
  • Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback.
  • Work closely with the Product, Marketing, Data Analysts and Development teams.
  • Convey complex analysis results clearly and with conviction to stakeholders.

Requirements: 

  • MSc in Computer Science. Statistics, SoftwareInformation System Engineering, or similar from a known academic institute, specializing in Machine Learning. (PhD is an advantage).
  • 3+ years of experience in researching and implementing machine learning algorithms in an online production environment.
  • Excellent programming skills and deep knowledge of machine learning. Not knowledge of packages, but rather knowledge of how things work.
  • Fluent in SQL.
  • Strong analytical skills and creative thinking.
  • Independent and fast learner that can work alone and in teams.
  • Great communication and interpersonal skills.
  • Hands-on experience with implementing Recommender System models in scale.
  • Experience with Deep Learning frameworks (PyTorch, Keras).
  • Experience with cloud SaaS environments (e.g., AWS, Azure, GCP).
  • Experience with Natural Language Processing (NLP) or Reinforcement learning-based algorithms is an advantage.
  • Experience with Big Data framework is an advantage (e.g., Kafka, Spark, Hadoop).

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.

 

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.

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

At Fundbox our vision is to power the small business economy with innovative credit and payment solutions. We offer fast and incredibly intuitive access to business credit. Our goal is to unlock the potential of small businesses by giving them financial agility and peace of mind. We need outstanding people to help us achieve our goals.

We’re looking for a talented Data Science Team Leader to join our exceptional team, help us continue our rapid growth, and create a better way forward for our customers. In this position on our Data org, you will have an opportunity to lead the research and development of a one of a kind credit system, balancing between risk and the financial opportunity.

In this role, you will

  • Lead Fundbox’s core Machine Learning team tasked with assessing risk and finding the optimal products to offer our customers.
  • Lead the maintenance and monitoring of production models, suggest new ways to tackle our core challenges.
  • Work with world class Business Leaders to find the best credit and risk policies for Fundbox.
  • Facilitate state of the art research keep abreast with current industry advancements.

You should have

  • Proven leadership skills in an IT team.
  • Experience in leading Machine Learning teams.
  • Industry experience in Machine Learning, from concept to production and monitoring.
  • Excellent communication skills in both Hebrew and English.
  • Relevant Academic background.

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.

We are looking for a junior data scientist to develop engagement and classification models that explain and generate insights about user behaviours and activity. The ideal candidate will feel very comfortable with ML and DL in areas of behaviour analytics, NLP, and anomaly detection, as well as with linear algebra and advanced probability methods on academic research level.

Job Requirements

  • Review academic papers relevant to our areas, explain them, implement and test them using our data.
  • Learn a business problem and design research plan and objectives.
  • Prototype and test ML models according to project requirements (at the moment the main project involves fraud detection/anomaly detection and user profiling).
  • Support deployment and production implementation of ML processes.

Personal Attributes

  • Ideal candidate holds an Msc in either computer science, electrical engineering, or statistics.
  • Solid understanding of applied math and statistics
  • At least 2 years of experience with ML and algorithm development (including academic experience), mostly in the areas mentioned above (anomaly detection is an advantage)
  • Be able to independently carry on a research and learn new topics and problems
  • Candidates should be able to read an academic paper and implement the algorithm in the paper.
  • Familiarity with dominant libraries and frameworks in Python.
  • Experienced working with Python and the relevant ML libraries, as well as with SQL and big data technology and terminology.

Product Manager

SightX ML Ltd.

As a Product Manager, You Will:

  • Be in a high impact role with the ability to dramatically accelerate the development of SightX AI-based engines
  • Manage execution of SightX commitments to design partners, including determining the delivery timeline and roadmap, steps for technical integration, delivery dates, and functional progress.
  • Work with engineering tech leads as well as AI/ML scientists and engineers to execute deliveries based on a technical roadmap
  • Uncover customer needs and translate them into requirements
  • Analyze the product's usability

 Qualifications:

  •   At least one year of product management experience (can include informal experience in other roles)
  • Excellent problem-solving, organizational and analytical skills, with proven ability to take initiative and build strong and productive relationships.
  • Established skills in balancing long-term strategic objectives against near-term tactical wins
  •  Proven experience in customer-facing positions
  • Fluent in English and Hebrew

Advantage:

  • Bachelor’s degree in Computer Science or a related discipline
  • Experience developing AI-based products, particularly in the field of computer vision
  • Proven track record of delivering technology products/services in a high growth environment

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