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

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.

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly-curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.

We’re looking for an exceptional Deep Learning (DL) Intern to join our Augmented Reality team in Tel-Aviv and help us improve our core camera technology using state-of-the-art Computer-Vision (CV) techniques – This includes building deep learning models that will be used by millions of users throughout the world, from literature research to implementation, under the guidance of some of the top talents in the field, and with access to huge gpu and compute resources. Applicants need to demonstrate exceptional skills in research and implementation of algorithms in DL, ML, and CV.

General Motors Israel (Herzliya) takes a significant part in shaping the autonomous vehicle. We impact the future vehicles in diverse fields by developing cutting edge technologies. Within GM Israel, over 600 people working in a hybrid flexible mode on one of the most exciting challenges of our days

UltraCruise is a driver-assistance technology that enables hands-free driving in 95% percent of all driving scenarios. A door-to-door hands-free driving technology that will enable GM’s goal of zero crashes, zero emissions and zero congestion.

Ultracruise is part of SDV – ‘Software Defined Vehicle’ group that is developing a new vehicle intelligence platform whose features and functions are primarily enabled through software. This is a significant part of the ongoing transformation of vehicles from being mainly hardware-based to a software-centric electronic device on wheels

UltraCruise IL group is focusing on research and development of advanced technologies to enable brake through applications for the future of mobility.

Our Perception Group develops the autonomous vehicle's ability to perceive the environment around the host vehicle. This includes high fidelity detection and tracking of both static and dynamic objects, as well as additional information of the physical world around the vehicle. That includes information on drivable area, lane configuration and traffic light status. The task is highly challenging and involves dealing with complex environments, different light and weather conditions and processing data from many sensors with different sensing modalities.

In order to provide the best solution, the group joins domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion and Signal Processing and embedded platform development.

We are looking for a Computer Vision Algorithm Engineer!

What will YOU do?

• Development of deep learning and machine learning algorithms
• Owning complete feature cycle – from research through solution design to implementation
• Working in agile development methods
• Keep track of latest state-of-the-art deep learning research

Additional Job Description

What are we looking for?

• M.Sc. / Ph.D. in Electrical Engineering / Computer Science / Mathematics
• Experience in Computer Vision algorithm development
• Solid background in mathematics and strong analytical skills
• Extensive software skills to build and analyze performance of algorithms
• Experience in multi object tracking / temporal reasoning / sensor fusion – advantage
• Experience in python / C++ programming – advantage

We are looking for a Machine Learning Team Leader that will lead the development of advanced perception capabilities that detect and represent the driving state to the vehicle's "brain", all aimed to be productionized and integrated into GM’s vehicles all over the world.

About you :

• You will lead Research and develop state of the art machine-learning algorithms for autonomous vehicles
• Keep track of latest state-of the- art machine-learning research and adopt where relevant
• Create sprint planning and monitor progress of the team
• Lead the team to develop efficient code (python) that can run both on the vehicles and on our servers at scale
• Create infrastructure to support team's algorithmic development goals
• Implement algorithms that impact the autonomous driving capabilities of GM vehicles

Additional Job Description

What are we looking for?

• MSc in electrical engineering/ computer science or equivalent
• Over 5 years of experience in computer vision and machine learning development
• Over 2 years of experience developing deep learning
• Over 3 years of experience in python
• One leading role of a team that is developing in python / C++

General Motors Israel (Herzliya)  takes a significant part in shaping the autonomous vehicle. We impact the future vehicles in diverse fields by developing cutting edge technologies. Within GM Israel, over 600 people working in a hybrid flexible mode on one of the most exciting challenges of our days.

UltraCruise is a driver-assistance technology that enables hands-free driving in 95% percent of all driving scenarios. A door-to-door hands-free driving technology that will enable GM’s goal of zero crashes, zero emissions and zero congestion.

Ultracruise is part of SDV – ‘Software Defined Vehicle’ group that is developing a new vehicle intelligence platform whose features and functions are primarily enabled through software. This is a significant part of the ongoing transformation of vehicles from being mainly hardware-based to a software-centric electronic device on wheels

UltraCruise IL group is focusing on research and development of advanced technologies to enable brake through applications for the future of mobility.

About the Group and Position:
Our Automated driving AI application develops the “brain” of the autonomous vehicle by applying cutting edge technologies into our vehicle's Perception and Decision-Making capabilities. The group joins domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion and Signal Processing and embedded platform development.
The Data Group is developing and operating an efficient Data Engine for automated driving development.

We're hiring a Big Data Engineer that will be the driving force of our big data operation.

What will You do?

• Develop and maintain scalable data platform to support continuing increases in data volume and complexity – petabytes scale on thousands core cluster.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data.
• Support the needs of advanced ML development (Neural net training, reinforcement learning)
• Work with data and analytics experts to strive for greater functionality in our data systems

Additional Job Description

What are We Looking for?

• B.Sc. in computer sciences/ mathematics or equivalent.
• Over 4 years of experience in software development, experience in at least one high-level programming language (Go, Java, Scala, python – preferred).
• Strong background in distributed data processing microservices building high-quality, scalable data products.
• Strong background in data modeling, metadata management, ETL development, and data quality.

Advantages:

• Experience working with and deploying distributed data technologies (e.g, Kafka, Airflow, Spark, Presto, Dremio, etc.)
• Experience with deploying distributed data technologies with Docker, Helm over k8s on prem clusters – BIG advantage
• Experience designing and implementing BI solutions
• Experience with cloud computing like Azure cloud.
• Familiar with Argo workflow

Who We Are?
Our team at Intel Labs explores optimization techniques that lead the evolution of compute by offering efficient AI applications that broadly spans from the data center to the edge. We optimize deep learning topologies (neural networks) to the latest Intel hardware and work with architecture teams to design software and hardware accelerators for Intel future hardware. Our focus areas are Deep-Learning software and hardware technologies for state-of-the-art inference and training techniques.

What will you do?

– Design, implement and optimize deep learning workloads.
– Working with leading architects on analysis of large-scale deep learning topologies and map the bottlenecks
– Implement software optimization methods to optimize neural networks for specific hardware product
– Publish papers in top tier deep learning conferences.
– Contribute to Intel's open-source deep learning projects

Qualifications:

– BSc. or MSc. in Computer Science, Computer Engineering, or related field.
– Python proficiency, experience in one of the ML frameworks such as PyTorch, TensorFlow
– Track record of software creativity and innovation
– Understanding of system architecture, multi-threading and low-level performance and hardware design – advantage
– Good written and verbal communication skills for expressing technical ideas and initiatives.

We are an applied research team focusing on natural language processing (NLP) and deep learning software and hardware technologies dedicated to state-of-the-art inference and training techniques.

We combine exploratory research with hands-on development of optimizations and novel topologies (neural networks) for efficient and scalable implementation of NLP solutions on Intel's current and future hardware.

We are looking for an experienced applied AI researcher to help us with our research efforts in the field of efficient NLP models and applications (e.g. new topologies, software and hardware optimization, decomposition of training-inference pipelines).

As an NLP researcher, you will be analyzing and optimizing NLP models to run best on Intel hardware (e.g. making them smaller, faster, and consuming less energy).

Your responsibilities will mainly include:

– Examining novel methods, analyzing performance, and writing efficient kernels to boost the efficiency of neural networks.
– Taking part in research projects with top researchers and engineers at Intel and in academia and publishing papers in top academic venues.
– Actively participate and contribute to the open source community

Qualifications:

– MSc. or Phd. in Computer Science, Computer Engineering, or related fields.
– 2+ years of experience in developing machine learning, deep learning or NLP models.
– Strong theoretical background in Deep Learning and NLP.
– Extensive experience in software engineering, primarily Python and C++.
– Experience with deep learning frameworks such as PyTorch or Tensorflow.
– Good written and verbal communication skills for expressing technical ideas and initiatives.

Extra points:

– Experience in writing low-level optimizations in Pytorch/Tensorflow (e.g. kernels, ops).
– Experience in mapping and understanding the performance of neural network models.
– Publications in top DL/ML/NLP/IR venues, such as NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, or SIGIR.
– Experience with popular open source deep learning libraries (e.g. Huggingface Transformers, fairseq, deepspeed).
– Knowledge of MLOps and data science tools and frameworks (e.g. Linux, Kubernetes).

Our Company is where we transform vision into reality. It's where ideas become technologies, and cutting-edge technologies become solutions for animal care and management. We support farmers by providing real-time actionable information to help them manage their herds. we provide pet owners with smart devices and data that give them a better understanding of their pets’ activity and health needs, enriching relationships. It helps conservationists safeguard natural environments and wildlife.

Leveraging decades of Technological Research & Development experience across many markets, technologies and species, along with development environments and Quality Assurance procedures, we're always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of the curve by leveraging advanced Technological Solutions from enhancing the precious bond between people and their pets, to advancing animal healthcare and wildlife preservation.

Our company is a world leader in the development of sensors for monitoring the health and welfare of farm and companion animals.

We are looking for a hands-on team leader to manage our growing Data Science team.

We are looking for a team leader to help us to discover insights from the vast amounts of data our systems collect.

In this role you will utilize data mining techniques, perform statistical analyses, and will build prediction models for the purpose of surfacing insights related to livestock and companion animal behavior.

We are looking for a highly analytical person, proficient in data analysis, mathematics and statistics.

You will be working closely with our animal research scientists to gain better understanding of the animals we monitor.

Requirements

• B.Sc. or higher in bio-medicine, statistics, applied mathematics, computer science or related discipline
• 4+ years of experience as a Data Scientist
• 2+ years of managing a data science team
• Experience as a python developer
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Strong Theoretical knowledge of Collaborative Filtering, k-Means, Spectral clustering
• Linear-Algebra – a must (LS, PCA, SVD)
• Experience in SQL and Python
• Strong programming skills
• Self-learner
• Team player