We’re Ada, a brand interaction platform that empowers brands to live up to their promises and have more—and more valuable—interactions with the people who love them. Our AI-powered platform has automated over 3.5 billion brand interactions for the world’s fastest growing enterprises, including Zoom, Facebook, and Shopify. In May 2021, we raised Series C funding of $130M by Spark Capital (early investors of Twitter, Slack, Snapchat), and officially became a global unicorn with a $1.2B valuation!

The passion of our people and dedication to their craft continues to drive our dramatic global growth.

Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment. You can learn more about the founding of our company here .

We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

As a Staff ML Ops Engineer on our Machine Learning team, you will be working with Machine Learning Scientists, MLOps Engineers, internal and external stakeholders and product managers to execute Ada’s ML roadmap in order to deliver best-in-class experiences. Your goal will be to work together with the Ada team to create valuable customer interactions for our clients and end-users of our product.

About You

• Minimum 8+ years of experience working in software development
• Profound understanding of distributed cloud systems architecture and relevant technologies
• Strong understanding of non-relational databases such as MongoDB and in-memory stores such as Redis
• Must have experience using APIs to build distributed cloud applications
• Experience working with ML models is an asset
• Experience with end to end machine learning pipelines is an asset
• Demonstrates strong drive to learn and advocate for development best practices

Outcomes

• Lead back end architectural white-board sessions with the team
• Execute on our ambitious product roadmap through the implementation of features
• Provide expertise from past experiences to help level up our current development practices
• Review the team’s code, provide insightful feedback, and teach everyone something new
• Self-starter that will take tasks and accomplish them with little oversight according to timelines and budgets agreed upon with business and technology stakeholders

Drowning in pools is one of the leading causes of death for children up to the age of 14

Lifeguard develops an edge device, AI-based drowning detection system that solves this problem

We are well funded and have completed first version development, and now we are expanding and looking for strong software engineers and data scientists who will lead the product development

Responsibilities include

• Ensure our architecture supports our short and long term goals
• Implement and refactor key parts of our platform to meet our growing scale and performance challenges.
• Research and adoption of new technologies.
• Work with other teams, sharing knowledge and implementing best practices.
• Mentor and be mentored by other engineers.

Requirements

• Strong ability to work independently and a desire to quickly learn new programming languages and technologies
• 5+ years of strong technical and coding skills with passion for system architecture
• Experience designing and working with frameworks from the world of Computer Vision Extensive experience working in a Linux environment
• 3+ years of experience in Python development
• Experience in the development and implementation of Object Detection models
• Advantage – experience with developing software for Edge Devices
• Strong communication and problem-solving skills.
• A can-do approach and a positive attitude!

*Work from our offices in Yokneam / Hybrid

DESCRIPTION

Nexar-powered dash cams enable new vision-based applications for safer driving. When drivers pair the dash-cam with the Nexar app, they join a network that powers new applications for driving and seeing the world. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. For automotive companies, Nexar’s network and crowd-sourced vision technology are a gateway to a new era of connected services and new killer apps for drivers, from real-time mapping applications for automated driving to 3D scenario reconstruction of corner-cases for autonomous vehicles simulation and validation.

That’s where you get into the picture. We are looking for smart, passionate, and mission-driven people to bring into our growing AI Automotive team, and help us meet the scale and opportunity in front of us.

We’re looking for a Data/BI Analyst to help us shape the future of mobility. The Data/BI Analyst will work on various analytics projects, oriented around product and customer needs, related to all of Nexar’s lines of business and data products 

Responsibilities:

• Analyze large datasets across multiple internal sources using varying tools (SQL, Python, scikit-learn, MS Excel, and manual analysis)
• Manage and define tagging and annotation processes of videos, images and localization datasets
• Build reports and dashboards to monitor product performance and key business metrics
• Support data requests from multiple internal stakeholders: Business / Marketing / R&D teams
• Extract insights from data that will help to make informed decisions and lead business growth

Requirements:

• B.Sc in Industrial Engineering, Computer Science, Mathematics, Statistics, Economics or equivalent
• At least 1 year of relevant experience
• Knowledge of SQL and Excel  – a must 
• Great programming skills in Python
• Experience working with data analysts tools 
• Strong modeling, analytical, data visualization and problem solving skills
• Curious, independent, rigorous and proactive kind of a person
• Strong team player and self-learner with excellent communication skills 

About the job

NI Israel looking for a Machine Learning Engineer Student to join her awesome DS team!

If challenges motivate you and want to experience and learn as much as possible backed by a team of champions – this team is the right place for you.

Job Description:

• As leaders in the Big Data analytics in Industrial IoT, our goal is to provide various solutions for the industry of semiconductors and electronics on production process as part of the AI ​​revolution for industrial IoT.
• The role will include working in both tabular data and computer vision domains.
• You’ll Contribute to explore usages of machine learning in the Semiconductor & Automotive/Electronics manufacturing industries through hands-on involvement on the entire ML pipeline, from data preparation through model building and evaluation.
• You’ll help design and implement infrastructures for robust and scalable machine learning life cycle support.
• You’ll design and implement automated classification and prediction solutions using big data analytics and machine learning techniques.

Requirements:

• Strong “Can do” attitude and real passion for technology and data science
• Studying towards M.Sc, Computer Science or related technical discipline.
• BSc in Computer Science or related technical discipline.
• Fluent in python.
• Experience in machine learning in either of tabular data/computer vision domains (either academical or independently).
• Experience/knowledge working with common deep learning frameworks (Pytorch, TensorFlow)
• Availability for 2-3 working days a week.
• Please attach grade sheet to the CV.

Advantage:

• Work Experience as a software engineer or machine learning engineer.
• Experience in the semiconductor or electronics industry.
• Experience in Image Processing/Computer Vision & optimizations.
• Experience in development and deployment in Big Data systems.

About NI:

NI’s Optimal+ platform is playing in the field of Industrial IoT and is the only Big Data analytics platform that provides an end-to-end product analytics solution for automotive, semiconductors and electronics companies.

The data science group of NI is managed from the Israel R&D site. This group is responsible for both customer engagement and company level machine learning strategy, infrastructure, and roadmap.

As leaders in the field, we have an important role in bringing the full AI potential to manufacturing, we are working closely with our customers delivering the right platform for machine learning together with the right solutions, infrastructures, and methodologies to handle the full life cycle of machine learning in production.

Why NI? 

There are many reasons to consider joining a company. Key among them are the people, the ideas, and the technology. At NI, we believe in the power and potential of connecting the three to create a path to success.

The people: We’re looking for curious and creative problem solvers who value diversity and fresh perspectives, are bold and kind, and willing to take chances.

The ideas: What did you want to be when you grew up? Did you want to program robots? Build flying cars? Leave the world better than you found it? At NI, we build on the big ideas of big dreamers to make their visions a reality.

The technology: With our tailored, software-connected approach, we support our customers through all phases of the product development cycle. From 5G and medical innovations to autonomous driving and the future of space travel, we help our customers Engineer Ambitiously every day.

We’ve long been globally recognized as a top employer. Our compensation and benefits are very competitive, as are our modern workspaces, career development and mobility opportunities, and a culture that fosters belonging and emphasizes community giving. We encourage our teammates to challenge the status quo and collaborate with one another to build innovative solutions.

No matter your career path, we’re here for you, for each other, and for the next generation of innovators who think bigger, aim higher, and go faster.

Are you up for the challenge of helping shape humanity for the next 100 years? If so, let’s get started, and let’s Engineer Ambitiously together.

We are changing how we work by offering more flexibility. NI has decided to take a hybrid approach (working both on- and off-site) at an aggregate level.  We know that different roles have different requirements, so we’re embracing a full range of options.

About the job

NI Israel looking for a Machine Learning Engineer to join her awesome DS team!

If challenges motivate you and want to experience and learn as much as possible backed by a team of champions – this team is the right place for you.

Job Description:

• As leaders in the Big Data analytics in Industrial IoT, our goal is to provide various solutions for the industry of semiconductors and electronics on production process as part of the AI ​​revolution for industrial IoT.
• The solutions are based on state-of-the-art algorithmic methodologies from the field of Machine/Deep learning.
• The work includes research, use-cases analysis, and implementation end-to-end machine/deep learning algorithms to production in tabular data, computer vision and time series.
• You’ll Contribute to explore usages of machine learning in the Semiconductor & Automotive/Electronics manufacturing industries through hands-on involvement on the entire ML pipeline, from data preparation through model building and evaluation.
• You’ll help design and implement infrastructures for robust and scalable machine learning life cycle support.
• You’ll design and implement automated classification and prediction solutions using big data analytics and machine learning techniques.

Requirements:

• Strong “Can do” attitude and real passion for technology and data science
• S.c/M.S.c in Computer Science, related technical discipline or equivalent experience
• At least 1 year of work experience as a software engineer or machine learning engineer or proof of significant experience gained in other means
• Fluent in python.
• Experience in machine learning in either of tabular data/computer vision domains (either academical or independently).
• Experience/knowledge working with common deep learning frameworks (Pytorch, TensorFlow)

Advantage:

• Experience in developing machine learning models in manufacturing in the semiconductor or electronics industry (big advantage).
• Experience in Image Processing/Computer Vision & optimizations.
• Experience in development and deployment in Big Data systems.

About NI:

NI’s Optimal+ platform is playing in the field of Industrial IoT and is the only Big Data analytics platform that provides an end-to-end product analytics solution for automotive, semiconductors and electronics companies.

The data science group of NI is managed from the Israel R&D site. This group is responsible for both customer engagement and company level machine learning strategy, infrastructure, and roadmap.

As leaders in the field, we have an important role in bringing the full AI potential to manufacturing, we are working closely with our customers delivering the right platform for machine learning together with the right solutions, infrastructures, and methodologies to handle the full life cycle of machine learning in production.

Why NI? 

There are many reasons to consider joining a company. Key among them are the people, the ideas, and the technology. At NI, we believe in the power and potential of connecting the three to create a path to success.

The people: We’re looking for curious and creative problem solvers who value diversity and fresh perspectives, are bold and kind, and willing to take chances.

The ideas: What did you want to be when you grew up? Did you want to program robots? Build flying cars? Leave the world better than you found it? At NI, we build on the big ideas of big dreamers to make their visions a reality.

The technology: With our tailored, software-connected approach, we support our customers through all phases of the product development cycle. From 5G and medical innovations to autonomous driving and the future of space travel, we help our customers Engineer Ambitiously every day.

We’ve long been globally recognized as a top employer. Our compensation and benefits are very competitive, as are our modern workspaces, career development and mobility opportunities, and a culture that fosters belonging and emphasizes community giving. We encourage our teammates to challenge the status quo and collaborate with one another to build innovative solutions.

No matter your career path, we’re here for you, for each other, and for the next generation of innovators who think bigger, aim higher, and go faster.

Are you up for the challenge of helping shape humanity for the next 100 years? If so, let’s get started, and let’s Engineer Ambitiously together.

We are changing how we work by offering more flexibility. NI has decided to take a hybrid approach (working both on- and off-site) at an aggregate level.  We know that different roles have different requirements, so we’re embracing a full range of options.

Spot by NetApp is one of the largest and most advanced companies for cloud workload automation. We aim to improve performance, reduce complexity and compute infrastructure costs. As a significant participant in the cloud optimization field, Spot by NetApp faces many challenges. Our research team provides solutions for core problems handling large amounts of data from thousands of customers. We work closely with the product teams to bring state-of-the-art technology to production.

What you’ll do:

• Devise data-driven models for cloud-related topics, e.g., work-load allocation, SecOps, FinOps
• Discover the latest architectures, and become an expert on the related literature
• Work with our product team to design a solution that meets the needs of our customers 
• Work closely with the R&D team to scale our solutions with the latest MLOps technologies

Required skills and experience:

• Studying towards MSc, or Ph.D. degree in CS, EE, or a related field 
• Proven experience in the field of machine learning and deep learning
• Strong coding skills in Python
• Knowledge of DS libraries  (e.g., Pandas, scikit-learn) 
• Excellent analytical skills

Preferred skills:

• Publication record in machine learning or related conferences (e.g., NIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP, AAAI, WACV, ACL, NAACL, EMNLP, and others)
• Experience with frameworks for deep learning (e.g., Pytorch)
• Theoretical knowledge in the field of time-series prediction 
• Familiarity with cloud services (e.g., AWS)

Company Overview

Loris is an AI company that develops products that help companies better handle their most difficult customer service conversations. Our real-time coaching software equips customer service teams with customer sentiment and live guidance, helping agents respond to requests more efficiently and effectively, improving agent productivity, company customer satisfaction and ultimately customer lifetime value by preventing churn.

Loris now works with large enterprises in marketplace, fintech and delivery, and our novel dataset consists of millions of anonymised textual interactions between businesses and their customers.

The idea of Loris was born from Crisis Text Line, a nonprofit organisation that provides free, text-based crisis counseling. Everyone on our team believes language matters, and we are an empathy-first organisation. We look forward to growing our team with like-minded, multidisciplinary individuals from diverse backgrounds. We're based in Tel Aviv and NYC and backed by top investors, including Vertex, Floodgate, and Jeff Weiner.

Job Overview

We are looking for an experienced and creative data scientist to become a foundational member of our team. In this role, you will help us study conversations to build models that support better outcomes,  thereby enabling businesses to provide their customers with a better experience while simultaneously reducing costs. We support the mental health and well-being of agents while providing key business insights to management. If you’re passionate about NLP at  the intersection  of emotional intelligence and  machine learning, this is your opportunity to join us in building  impactful AI solutions to real-world problems.

Job Responsibilities:

• Innovate, develop and test state-of-the-art approaches to solve challenging problems in conversational AI
• Partner end-to-end with Product Managers, Data Scientists, Software Engineers, and UX Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production
• Analyze conversations using NLP to extract features for use in insight-generation and predictive text models
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Present reports and findings to senior level technical and non-technical audiences
• Develop processes and tools to monitor and analyze model performance and data accuracy

Required Skills and Qualifications:

• PhD/ M.Sc in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
• Great communication skills and a startup mindset
• 5+ years of experience in a data science role
• 3+ years of experience with NLP applications and techniques
• Experience in conversational AI
• Strong Python skills 
• Experience with ML frameworks: PyTorch, TensorFlow, Keras, Fast.AI 
• Experience with integrating ML models into production
• Solid computer science and coding skills

For a new startup in the field of computer vision and deep learning, a ML computer-vision developer is needed to own the development of a robust end-to-end deep learning computer vision product.

Availability is required for about 50% capacity in the next 3-6 months.

We are looking for a person experienced with SOTA computer vision deep-learning architectures, who will implement the network architecture, training and evaluation. You will be expected to participate in research and design of all stages of development, including dataset creation and up to convergence, integrating hand-crafted features, overcoming domain-specific caveats on the way until successful delivery to production.

Requirements:

• Experience with deep learning frameworks in Python.
• Experience with computer vision objectives and related deep-learning architectures.
• Advantage – experience in dataset generation and augmentation.
• Advantage – experience with delivering deep learning products to successful production level.
• Advantage – experience in working against the cloud (e.g. AWS, GCP).
• Advantage – familiarity with classical image processing techniques.
• Advantage – BSc or higher degree in computer science / math / related subject.

AmplioSpeech Inc. is an innovator in digital speech-language therapy, devoted to maximizing student outcomes and empowering SLPs, by delivering Digital Speech-Language Therapy to school districts and their SLPs, students and their families, special education departments and administrators. Powered by an award-winning artificial intelligence technology, AmplioSpeech equips school districts with a speech-language therapy operating system that powers speech-language therapy in the 21st century.

Requirements