Mid-Senior
Senior Machine Learning Engineer
We are looking for an experienced deep-learning/machine-learning/computer-vision researcher to join our algorithms team.
Our algorithms team is responsible for developing algorithmic data-driven solutions, using ML/DL/statistical-analysis, to be applied in clinical trials, drug research and clinical practice.
Why join us?
There are plenty of reasons:
- Your job matters, use your experience and skills to implement solutions that save lives.
- Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
- Work with amazing people that share a passion for using technology as a tool to achieve great things.
- Work with a top notch team on complex vision and prediction problems.
- Be a part of a fast growing startup backed by top VCs.
Responsibilities
- participate in research and development of state-of-the-art machine learning and deep learning algorithms to find novel digital biomarkers that predict patients’ response to new treatments.
- You will be working with clinical trial data as well as real world evidence, curated from leading medical institutions.
- You’ll be dealing with multiple data modalities such as: tissue sample (WSI), genomics, clinical data, and more.
Requirements
- At least 2 years developing machine learning algorithms
- At least 3 years of hands-on software/algorithms development experience
- Deep learning and/or computer vision background – Advantage
- Solid knowledge of statistical analysis methods – Advantage
We are looking for a Deep Learning Engineer to join our Israel office in Haifa.
You will work on building a real-time perception, tracking and prediction system, employing cutting-edge deep learning and computer vision methods.
This is an opportunity for a position in the autonomous driving industry with real-world experience in deploying deep learning-based architecture.
Responsibilities:
1) Research, development, and integration of vision-based road perception algorithms.
2) Overseeing and developing complex data pipelines, from data collection, to annotation, and generation.
3) Integration with C++ – based Autonomous Vehicle software.
4) Testing and finetuning developed algorithms/models in Imagry’s Autonomous Vehicle in Haifa.
5) Devising and measuring performance metrics.
1) M.Sc. in Computer Science, Applied Mathematics, Electrical Engineering or similar
2) At least 3 years hands-on experience with deep-learning research and application.
3) At least 3 years programming experience (Python/C++ or any high-level language).
4) Up to date on recent developments in the field of deep learning.
5) Probability theory, linear algebra, geometry, trigonometry at a B.Sc level.
Skills that are considered an advantage:
1) Experience with PyTorch.
2) Familiarity with Computer Vision.
3) Familiarity with the AV field.
4) A publicly viewable body of accomplished projects (e.g. github repository, portfolio, etc.)
About Imagry
Imagry is an Autonomous Vehicle software provider developing a Level 4 Autonomous Vehicle AI system, built on vision-based deep learning solutions for road perception and motion planning. Our bio-inspired technology combines real-time visuo-spatial perception with an imitation-learning decision-making system. Imagry replaces the limitations of HD mapping and rule-based approaches with a real-time vision-based data-driven solution that utilizes cutting-edge Deep Learning methods.
Imagry currently has over 70 employees across 4 cities, including Haifa, Silicon Valley, Rawabi, and Phoenix, AZ, and we are expanding further, and we want strong, capable, and inventive engineers to join us on this journey.
Some videos of our autonomous vehicle in action can be found on our website. www.imagry.co
Senior BDM AI/ML
Job summary:
Are you passionate about helping customers along their Machine Learning (ML) journeys? Are you excited to create new markets for Artificial Intelligence (AI)?
Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from emerging start-ups to leading global companies. AWS customers are looking for ways to improve their business models, innovate and solve complex business challenges with artificial intelligence (AI) and machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with a broad portfolio of AI & ML services from ML services, such as Amazon SageMaker and our AI services (Vision, Languages or Applied Services).
AWS is seeking a seasoned AI/ML Sr. Specialist (or Senior Business Development Manager) to help us scale our artificial intelligence / machine learning business and work directly with the most interesting and demanding customers to understand their needs and and turn them into reality.
Your responsibilities will include identifying market opportunities, building go-to-market initiatives, and managing a healthy sales pipeline focused on driving revenue, adoption, and market penetration across Israel.
The ideal candidate will possess both a business and sales background that enables them to support an engagement and interact at the CxO/VP level, as well as a technical background that enables them to easily interact with data scientists, product managers and builders. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to build and convey compelling value propositions, and evangelize cross-organizationally to build consensus while driving change.
Role is based out of Tel-Aviv, Israel.
Key job responsibilities
- Build and execute a strategic go to market plan for target markets in line with the AWS strategic direction
- Drive revenue and market share for AWS AI/ ML services
- Meet or exceed quarterly and annual revenue targets
- Build and drive a robust sales pipeline
- Work with partners to drive adoption of the AI/ ML solutions.
- Collaborate with key internal stakeholders to scale impact (e.g. solution architect, product service teams, support, etc.)
- Incubate new AWS Machine Learning and Artificial Intelligence services and scale existing AWS services
- Represent AWS on AI/ML at public events or blogs
- Work with senior management team on market and sales strategy, AI/ML service roadmap, and initiatives to scale impact
A day in the life
Meet the hottest AI/ML companies. Become the trusted advisor of their leaders, decision makers and key individuals. Bridge the gap between business goals and technology. Inspire on art of the possible use cases for AI/ML. Represent your region vis-à-vis AWS product teams and influence our AI/ML roadmap to best support your customers. Work with AWS specialists (solution architects, data scientists) to deliver results for your customers. Work hard. Make a difference. Enjoy life.
BASIC QUALIFICATIONS
- 10+ years of technology-related sales or business development experience
- 10+ years direct field experience working with customers
- 5+ years working domain experience in machine learning, artificial intelligence, or related technologies
- Experience in cloud-based technologies
- BA/BS degree or equivalent experience
- Strong verbal and written communications skills in English
PREFERRED QUALIFICATIONS
- AI/ML certificates or diploma
- Knowledge of Big Data businesses and technical concepts
- Experience working with technology customers and partners
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy/eu ) to know more about how we collect, use and transfer the personal data of our candidates.
Deep Learning Engineer
About us
We are an elite multidisciplinary research and engineering team, with backgrounds in Physics, Optics, Algorithms, as well as Electrical, Computer and Mechanical Engineering.
We work mainly IMOD’s CTO office, which means the most interesting problems and cutting-edge technologies you can imagine!
We do everything from basic R&D to deployment of innovative solutions on novel problems and sensors.
What to expect
Lots of fun and interesting problems to tackle!
The tools and resources you need with zero bureaucracy and 80/20 mindset.
A lot to learn, people to learn from, and an opportunity to grow and evolve professionally.
Fast-paced startup like environment with a strong get-it-done attitude
What we are looking for in a candidate
- Talented Junior to Talented Senior
- “Get it done” attitude
- Ability to quickly use open source repositories and networks
- Ability and willingness to learn
- Experience in: Deep Learning and Computer Vision
- Experience with some or all of the following: object classification, object detection, semantic segmentation, tracking, object counting, few shot classification, pose estimation, facial landmarks, video analytics, LPR, OCR, 3D object detection, point cloud handling, action recognition
Work model
- Flexible Hours and work model.
- Our offices are in Tel-Aviv near a train station.
- We are open to hiring part-time / full time / independent consultants / Masters students – if you’re good, we’ll find a way to work with you!
Special candidate for a special place:
We are extremely multi-disciplinary and each worker needs to be connected with the vision of all the projects.
The projects are very innovative and a lot of times you need to decide for yourself how to advance and explore different paths.
You also need to be very open minded, be able to read papers and other works to be able to advance.
Data Scientist
Sixgill is a market leader in deep and dark web cyber threat intelligence. The company helps Fortune 2000 companies, financial institutions, government and law enforcement agencies protect their finances, networks, and reputations from cyberthreats that lurk in the deep, dark, and surface webs. The advanced cyber threat intelligence portal automates all phases of the intelligence cycle, providing organizations with unparalleled information and actionable insights to protect their assets in the ever-evolving cyber threatscape.
Sixgill is a well-funded, fast-growing tech company where automated actionable intelligence that leans on AI-based analysis is key for our business and operations. We already apply a portfolio of NLP and ML models that processes our unique collecting from the deepest and darkest sources. We are looking for a talented data scientist to join the team.
As a data scientist in Sixgill, you will gain access to a breadth of one of a kind data collected from the deepest sources on the web and apply state-of-the-art techniques to extract insights from it.
You'll work on a variety of tasks spanning from classification, anomaly detection, entity recognition, graphs, to recommendation systems using classical ML algorithms alongside transformers /attention and advanced technologies.
You'll be responsible to drive your ideas from initiatives, through research, all the way to Python production code in order to provide clear value for Sixgill customers.
Join us if you want to make a significant impact in protecting the world from cyber threats.
Requirements
4+ years of industry experience building production-deployed machine learning models
Industry experience in NLP
M.Sc or higher degree in computer science or other relevant fields from a leading university
Strong knowledge & experience in Python
Passion for data
Enthusiastic and energetic
A team player
Thrive in a fast-paced, agile environment
Fluent in English and Hebrew, both written and verbal
Advantages:
Experience with neural networks text processing methods such as BERT
Cyber domain Background
PhD
Experience with SQL and NoSQL DBs
Experience with Elasticsearch and MongoDB
Senior Software Computer Vision Engineer
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
Head of Data Science
Predicta Med is a fast-growing, digital health startup with a mission to enable early detection of autoimmune diseases. The heart of our solution is an AI based decision support platform that makes diagnosis fast, treatment more effective and patients happier.
We are looking for a passionate and experienced Head of Data Science that strives to make a real impact on the future of our product.
The ultimate candidate is a super talented and passionate senior algorithm engineer/data science lead, experienced in leading complex AI based projects and teams.
You are expected to lead all aspects of Predicta Med’s Deep Learning solution research and development – implement algorithms from prototypes to full deployment, acquire-process-analyze and model information from potentially massive amounts (big data) of structured and unstructured data, create insights and handle data management operations.
Job requirements
● M.Sc/PhD in Computer Science / Computer Engineering / Mathematics
● Experience in machine learning and big data infrastructure and
databases (5 years+). 3 years+ of managerial experience
● Hands-on experience with data science packages (Scikit and
PyTorch/TensorFlow)
● Ability to work independently and collaboratively, while meeting
scheduled deadlines in a fast-paced environment
● Highly organized, exceptional attention to detail, strong communication
skills
● Strong background in Statistics
● Expertise in NLP
● Experience in analyzing clinical data through common EHRs
Reach out through – shlomit@predicta-med.com
Algorithms Developer – Tracking Team
Autobrains is a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.
At Autobrains, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.
Autobrains is backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.
REQUIREMENTS
- Bsc Msc in a relevant discipline (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.)
- Broad knowledge of algorithms and analysis tools and methods
- Excellent coding skills, with at least 5 years of experience in Python
- Strong background in C++ – advantage
- Experience with one or some DL and ML frameworks, i.e. Pytorch/ Open CV/ Hydra
- Broad experience in Tracking and Object Detection fields:
- Video Motion Detection in video and stills imagery
- Extensive knowledge in tracking (Classical, Kalman Filter, Optical Flow)
- Deep learning/ machine learning for object detection and classification in video and imagery
- Computational geometry
QUALIFICATIONS
- First Principles Thinker – Creative and innovative thinking
- Ability to quickly understand and pick up new technologies, including existing infrastructure and algorithms used by the team
- Team player
- Delivery oriented
Senior Robotics Vision Engineer
About The Position
About us:
“Any sufficiently advanced technology is indistinguishable from magic” – Arthur C. Clarke
At Indoor Robotics we believe in a world that operates autonomously around us to facilitate our lives and fulfill our needs. We build the next generation robots (ground and flying) for indoor usages. More specifically we design, develop and produce autonomous, aware, mobile and affordable robots that solve real world problems in indoor scenarios. We strive to create a physical infrastructure and middleware for indoor robots that can navigate in the indoor space, understand their environment and execute real time missions.
We are currently looking for an awesome team member to join us to invent and produce best quality robotics products for consumers and professionals.
Senior Robotics Vision Engineer
Working as part of the algorithms team, you will join us in developing the visual cortex of the robot. You’ll be in charge of developing visual algorithms on edge devices, evaluating existing solutions and analyzing data to understand the robot performance.
Joining a small team, you will have a broad responsibility and the ability to affect each and every aspect of the system, and many options to grow with the company.
Requirements
Qualifications:
- BSc, preferably MSc in Computer Science, Electrical Engineering, Robotics or equivalent.
- At least 3 years experience in computer vision and AI – Must.
- Professional in C/C++ and Python.
- Experience in building software for autonomous machines.
- Have strong passion in unmanned system development and application.
- Ability to work under pressure and complete tasks on time.
- Team player (We are all sharing one space).
Preferred Skills/Experiences:
- Expertise in ROS.
- Experience with CUDA – Major advantage.
- Experience with edge AI development
- Experience with Nvidia edge products (Jetson)
- MSc/PhD in a relevant field
- Knowledge in visual localization and depth estimation.
Machine Learning Engineer
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
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:
ZipRecruiter is changing the way job seekers get hired and how small businesses manage their HR. Our R&D center in Tel Aviv offers an empowering, fun, and collaborative culture where talented individuals who think like business owners and entrepreneurs are invited to join our growing team.
We use models and algorithms of machine-learning and deep-learning to find candidates for a job, and get the job information to reach the candidate as quickly as possible to allow the employer to reach the best candidates in the least possible time.
With data such as a billion+ historical job postings, tens of millions of active job seekers interacting with our system, and hundreds of billions of impression and click events, there are incredible opportunities to use your skills to build new data-driven features. Working at ZipRecruiter, you will be helping literally millions of people find their dream job
This is a unique opportunity to work on the full life cycle of ML, you will design, build, and optimize our platforms for ML pipelines, data infrastructure, and scaling our models from research to production, you will work closely with data-scientists in various disciplines – search, match, NLP, ML, and DL.
Key focuses:
- Develop, integrate and optimize end to end ML pipelines, oversee the quality and performance of ongoing models
- Partner with researchers and domain engineering teams for development, exploration, and research of ML driven products
- Build, deploy, monitor, and support models and services that run in high load in critical mission products.
- Provide feedback and interact with infrastructure teams to help automate and scale algorithms.
Minimum Requirements:
- At least 5+ years of coding experience with at least one of the following: Java, Python, Scala. Experience with ML and NLP software packages and tools, at least one of Scikit-learn, TensorFlow, spaCy, NLTK, etc.
- End to end experience – owning feature from an idea stage, through design, architecture, coding, integration, deployment, and monitoring stages
- Model optimization techniques – familiarity with testing and hyperparameter optimization tools and frameworks.
- Familiarity with Deep Learning – an advantage
- Experience with Linux environment, AWS an advantage
- Team player with excellent communication skills
