Asensus Surgical is currently seeking an Algorithm Developer to join our growing Israel R&D center.  We are looking for an MSC/PHD student level algorithm developer to join our R&D team developing the next generation of vision-assisted robotics in the operating room.

This role will develop efficient computer vision algorithms to incorporate into the Senhance robotic system software platform.  

What You Bring 

• Msc/PhD student in computer science or electrical/biomedical engineering 
• Ability to work at least 20 hours per week at a flexible schedule.

• Proven experience in implementing modern computer vision and image processing algorithms and methods.
• Proficient in machine-learning and  deep-learning based methods for computer vision
• Experience in Python programming
• Experience with deep-learning libraries including TensorFlow/PyTorch 
• Experience with computer-vision libraries such as openCV
• Demonstrated ability to read and understand the relevant literature and research
• Team player capable of working in a multicultural and multi-disciplinary environment involving software engineers, algorithm engineers and physicians in local and remote settings. 
• Specific experience in at least one of the following is an advantage:
  • VAN/SLAM
  • 3D reconstruction 
  • Stereo imaging
  • Tracking
  • Segmentation  
• Industrial experience – an advantage
• Experience in a medical device company – an advantage
• Experience in C++ programming – an advantage
• Experience with NVIDIA software tools for implementing algorithms on GPU – an advantage

What You’ll Do 

• Responsible for the development, implementation and evaluation of computer vision and image processing algorithms
• Understand the system requirements and convert these into usable algorithmic solutions 
• Utilize existing research, literature and study of existing state of the art tools to develop best in-class solutions
• Interact with other departments including software engineers  locally and remotely in order to incorporate solutions in the Senhance robotic system

Job description

Lightricks is a pioneer in creativity tools that inspire people to craft visual content and share the world through their eyes with friends, family and followers. Our suite of content creation apps has over 500 million downloads worldwide and won numerous prestigious awards —including Apple's App of the Year, the Apple Design Award and both Apple’s andGoogle Play’s Best of the Year. Lightricks is a data driven company, and thus the Data Science group has a big impact on decision making.

We’re looking for a talented Senior Data Scientist to join our Data Science team! As a data scientist, you will work with our marketing and finance leadership, to predict our growth, identify trends  and help us optimize the impact of our marketing budget spend. This is an exciting opportunity to make an impact!

We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, that knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. 

Responsibilities

• Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring. 
• Work on extremely diverse problems and domains, and work with several stakeholders including finance and marketing managers, developers, BI analysts and more. 
• Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaign’s ROI, user’s attribution and more. 

Requirements

• 2+ years of experience as a data scientist in the industry, experience from b2c companies is a plus.
• Deep understanding of classical ML & DL algos for a wide spectrum of problems and domains.   
• MSc or PhD in Computer Science, Data Science, Statistics, Operation Research, or a related field.
• Proven hands-on experience developing and researching algorithms in various fields and data science/machine learning techniques such as: boosting algorithms, time series models, clustering and anomaly detection methods, and more.
• Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
• Proficiency with Python and SQL.
• Experience with bringing machine learning models to production in a cloud environment is a big plus 
• Independent and innovative with the ability to lead problem definition and goal definition processes.
• Team player with excellent communication skills

Job Description
Lightricks is a pioneer in creativity tools that inspire people to craft visual content and share the world through their eyes with friends, family and followers. Our suite of content creation apps has over 500 million downloads worldwide and won numerous prestigious awards — including Apple's App of the Year, the Apple Design Award and both Apple and Google Play’s Best of the Year. Lightricks is a data driven company, and thus the Data science group has a big impact on decision making.
We’re looking for a talented Data Scientist to join our group! You will work with some of the greatest minds in product on our award-winning apps and help them increase the app performance through data products, such as personalized app journeys, and finding meaningful insights and actions for better decision making.
Using Machine Learning and Statistical tools, you will build predictive and explanatory models to personalize the users’ journey in the app, find some treasures and needle moving insights in our data, be involved in decision making of apps and affect millions of users.
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, that knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. If you ever worked with a product – that’s even better!
Responsibilities

• Work with several stakeholders on a daily basis including Product Manager, Product Marketing Manager, developers, ML engineers, BI analysts and more.
• Build data products using ML and statistical models that will run in the app and provide a better experience for the users.
• Design a roadmap for apps from a data science perspective, that raises insights and action items for the product team.
• Understand our users through the data and find potential growth opportunities.
• Develop causal inference models to analyze and better approach our users.

Requirements

• 4+ years of experience as a data scientist in the industry, 2+ years of experience in end-to-end ML projects, from POC to production.
• Hands-on experience with Python and relevant data science packages.
• Proficiency in SQL (BigQuery, Redash). Knowledge in Verix AI – a plus.
• High communication skills, ability to clearly formulate problems, approaches to solutions, and results.
• Knowledge and experience in ML tools and Statistical models.
• Advanced degree in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields.
• Experience with Deep Learning architectures and tools (TensorFlow, Keras, and/or PyTorch) – a plus
• Working as a data scientist in product – a plus

Algorithms Team Leader – 3D Computer Vision & Sensor
Fusion

Job description
The Land division of Elbit Systems provides integrated solutions to the defense sector, and is a major part in ensuring the safety of Israeli citizens and defense forces. At the AI and Algorithms Group we develop cutting edge algorithms for a wide range of systems, from autonomous vehicles to drones and more. We tackle problems in the areas of 3D-perception, computer-vision and decision-making, using Deep Learning and Reinforcement Learning methods.

We are looking for an experienced algorithm developer to lead the 3D vision & sensor-fusion team, spearhead development in various projects such as autonomous ground and aerial vehicles, active defense of armored vehicles and situational awareness.

Responsibilities
 Lead a team of algorithm developers, recruit, manage and guide team members
 Lead the development of algorithms for 3D perception, mapping and estimation
 Lead the development of algorithmic infrastructure for various platforms and
projects

Requirements
 MScPhD in CSEERelated field
 5 years of experience developing computer-vision algorithms
 Strong knowledge in 3D computer-vision, mapping and estimation
 Highly proficient in Python or C++
 Leadership capabilities
 Knowledge in SLAM – advantage
 Knowledge in Deep Learning and ML frameworks (PyTorchTF) – advantage

At GlaxoSmithKline we have created a world-leading data and computational environment to enable large scale scientific experiments that exploit GSK’s unique access to data. Our focus is on bringing data, analytics & science together into solutions for our scientists to develop medicines for patients.

We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning experts that help discover new medicines by focusing on causal relationships in data. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within a global community.

This is a hands-on position where you will be empowered to be creative, ambitious and bold, to solve novel R&D problems and have the potential to directly impact the lives of patients living with disease. We have impressive toolkits and world class data, and we are now looking for talented people to join us.

As a AI/ML Research Engineer focusing in Causal Machine Learning we’d like you to be able to:

• Lead, design and implement novel scientific approaches to leveraging high-dimensional biological data sets to build predictive models for precision oncology
• Provide first-class machine learning input to programs/projects; be a key contributor to the planning and direction of a project, and effectively prioritize goals
• Provide domain expertise and mentor more junior scientists
• Design, develop and implement analytical solutions using a variety of commercial and open source tools (common tools include Python, Keras or TensorFlow)
• Connect and collaborate with subject matter experts in biology, genomics and medicine
• Compare results from various methodologies and recommend best techniques to Stakeholders
• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
• Offer, challenge and solicit advice via peer review to enhance quality, share best practice and embed innovation
• Develop and embed automated processes for predictive model validation, deployment, and implementation
• Deploy your algorithms to production to identify actionable insights from large databases

Required

• A higher degree in computer science, data science, applied math, physics, systems biology, or bioinformatics
• 5+ years experience in development of interpretable machine learning, preferably with exposure to functional genomics or molecular and cellular biology
• Expert understanding of a programming language such as Python
• Past experience in building deep learning models with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch
• Application and understanding of best practices in software engineering, training and operating algorithms at scale
• Past experience in owning and shipping services, including production deployment of ML tools
• Excellent written and verbal communication skills (both English and Hebrew)
• Ability to solve complex problems using creative ideas, state-of-the-art tools and best engineering practice
• Ability to work autonomously and collaboratively as part of a team to both teach and learn every day

Hello Heart is looking for a Data Scientist!

Hello Heart is a best in class solution that empowers people to understand and improve their heart health – the #1 cost factor for employers. The program is clinically based and targets people with high blood pressure. Each of our users receives a wireless blood pressure monitor and real-time personalized tips on their smartphone. It is easy to use and helps participants improve their heart health in a fun and engaging way. Hello Heart’s successful distribution model is B2B2C, selling to Fortune 500 employers. This allows us to reach a large audience and have impactful results.

Hello Heart is looking for a Data Scientist to join our amazing and growing data group. Our team develops state of the art prediction, classification and recommender system models to help our users manage, track and improve their health.

Areas of responsibility:

• Building Machine Learning pipelines into production collaboration with the engineering group.
• Developing novel algorithms and investigating new technologies that will actually save life!
• Work closely with the product and translate clinical researches into digital insights that will be used on a daily basis across the world.

The ideal candidate will be:

• An enthusiastic researcher, not afraid to explore new areas of research.
• A self-driven who shows ability to deliver on ambiguous projects with incomplete or dirty data
• Passionate about data and ML, love analyzing, mining and playing with data.

Qualifications:

• B.Sc. from top university in one of the following fields: Mathematics, Physics, Computer Science, Electrical Engineering or related areas – required.
• M.Sc. from top university in one of the following fields: Mathematics, Physics, Computer Science, Electrical Engineering or related areas – advantage.
• 2+ years of hands-on experience in implementing machine learning models in production using Python or R – required.
• Strong theoretical and practical background in a variety of machine learning techniques – required.
• Experience with standard deep learning frameworks: PyTorch / TensorFlow – an advantage.
• Specific experience in recommendation systems and / or time series modeling – an advantage.
• Experience with programming skills, e.g. Java, Scala, C# – an advantage.
• Experience in healthcare industry and working with clinical data / EMR – an advantage

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

A technological guru for an “AI research colony”

The Weizmann Institute is searching for a technological leader to develop and run a unique program aiming at bringing innovative AI to diverse scientific challenges. The individual we are looking for would be a natural technological leader that will help build and guide a new team of brilliant Weizmann AI fellows. The fellows will be hired as independent technologists with mixed non-academic backgrounds to interact with the excellence-based scientific community at Weizmann to identify and develop high-risk interdisciplinary and disruptive projects. The  guru will nurture and mentor this unique group of fellows, and guide their projects in collaboration with Weizmann scientists. The goal is to bring about unexpected scientific and technological innovation in diverse fields, including physics, chemistry, materials, environmental sciences, and biology. The fellows program headed by the Guru will thus contribute to and benefit from the flow of ideas between industry, computer science, and brain sciences.

What are we expecting:

– A technological leader with experience in AI/ML applications

– Background in science: not mandatory.

– Experience in leading a technological team

– Curiosity, broad-mindedness – essential

– Excellent interpersonal skills: recruitment, mentoring

– Leadership and desire for good-doing

What are we offering:

– Build a “colony” of around 12 rotating fantastic individual talents

– Constant interaction with brilliant scientists

– Ample opportunities for innovation and significant impact on major discoveries

– Minimal administrative, fundraising commitment

About Gentex

Gentex is a US based global automotive supplier of advanced products that enhances driving safety and convenience. Gentex’s Israeli R&D center is located in Tel-Aviv and is focused on developing the next generation of automotive AI technology for in-cabin and driver monitoring. The work spans from concept, to prototype, and to product, alongside Gentex's global teams.

About the Position

We are looking for talented algorithm developers to join our R&D group. In this position you will:

• Design algorithms based on both machine learning as well as classical computer vision.
• Develop features from proof of concept to final product.
• Work on unique state-of-the-art proprietary optical technology.
• Become a part of a global R&D operation and a dynamic local team.

What are we looking for?

• Degree in Computer Science ,Electrical Engineering, Physics ,Mathematics or related fields.
• Background in Computer Vision andor Machine Learning.
• Solid knowledge in Python
• 3 years of experience in algorithm development.
• Strong mathematical skills and analytical thinking.
• A problem solver and a team player
• Advantage – Background in optics andsignal processing3D modeling.

Come and join us to lead the fight against cancer by discovering the next generation of cancer treatments, novel biomarkers and drug targets, and helping tailoring treatments for the individual patient while using cutting edge technologies of computer vision, deep learning and spatial biology.

Key Responsibilities:

• Contribute to the establishment of innovative spatial biology platforms, integrated to a multi-dimensional single-cell-omics data generation pipeline.
• Design, develop and perform experiments to generate spatial datasets, including multiplex imaging and spatial transcriptomics.
• Lead research projects with a multidisciplinary team including data scientist and software engineers
• Optimize and troubleshoot experimental conditions to ensure high quality and high reproducibility of the data.
• Collaborate closely with colleagues in the functional genomics team, computational biology / software engineering teams and provide support for application development.
• Maintain extensive knowledge of the literature and best practices in spatial biology, in particular related to the immune system
• Work with and present to key opinion leaders in the scientific community and Pharma industry

Qualifications:

• MD/PhD or PhD degree in Immunology or Cancer Biology.
• Experience in designing and executing research projects in the field of cancer and immunology.
• Experience in analyzing and interpreting clinical data.
• Experience working with Python / MATLAB / R.
• Knowledge in machine learning and/or deep learning algorithms
• Interpersonal skills, collaboration, teamwork.

Advantage:

• Previous work experience in the biotech industry.
• Experience in spatial biology analysis and interpretation of high-plex images (e.g. MIBI, IMC, CODEX or comparable platforms).
• Research in cancer biomarkers and/or immunotherapy target discovery.