Vimeo is looking for a Data Engineer to join its Machine Learning Research team.

The Machine Learning Research team at Vimeo is focused on unlocking opportunities for ML to make an impact, both to existing teams and products, as well as novel opportunities. We work with a wide selection of algorithms, to understand Users and Videos, based on various signals such as text, video and analytics.

In this role, Data Engineer will take an active role in bridging between the existing data on the Vimeo platform and its utilization by the Machine learning team towards applications.

What you’ll do:

• Gain deep knowledge on all Vimeo data sources and provide automatic aggregations and transformations for specific usages for ML projects.
• Conduct datasets for machine learning applications, while implementing data integrity and validation measures.
• Implement automatic processes to digest data and iterate with machine learning pipelines.
• Be part of a cross functional team, and be the Data expert in the team exploring and evaluating the best ways data should be utilized and treated within the team
• Partner with Data Engineering teams to bring the state of the art in the field to the team.

Skills and knowledge you should possess:

• 3+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud.
• Working knowledge of design patterns and coding best practices
• Experience with and understanding of data modeling concepts, techniques and best practices
• Experience with Airflow, Celery, or other Python-based task processing systems
• Proficiency in SQL
• Proficiency in Python / PySpark
• Experience with Redshift, BigQuery, Snowflake, CitusDB, or other distributed columnar-store databases
• Good communication skills and ability to work in a cross-functional team.

Writing is how business gets done in the modern customer lifecycle. And effective writing is more than just getting spelling and grammar done right; it's about forming a connection, shaping a relationship, convincing, responding, and, consequently, achieving your intended objectives.

At Pragma we are building a world class technology team, with the mission of providing communication superpowers to sales and customer teams that want to radically improve their business performance. Our team is made up of experienced innovators and successful serial entrepreneurs that work together to break boundaries and deliver outstanding products that customers love.

About this role:

The NLP researcher will work closely with our CTO on our core language understanding and generation technologies, powering the next generation of assistive features for business professionals.

Responsibilities:

• Conceptualize and develop innovative NLP applications as well as continually improve existing NLP applications

• Modifying and optimizing Pragma's current NLP models

• Prototype, build, and deploy new models to serve as the core of new product features

• Staying up to date with the latest research trends that could improve Pragma's product

Requirements:

• Masters degree or Ph.D. in Computer Science or a Machine Learning related degree; or equivalent work experience in the field

• 3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry

• 2+ years of experience building production NLP models, and deploying them to solve inference challenges at scale

• Experience with ML Ops, continuous integration and deployment (CI/CD) frameworks. (Advantage)

About you:

• Passionate and curious by nature, and interested in pushing the boundaries of what's possible

• You love problem solving, on your own, and with others

• You engage in dialogue, not debates

• Share your mistakes as teachable moments

• Self-motivated and independent learner

Pagaya is a financial technology company reshaping the asset management space using machine learning and big data analytics to manage institutional money. With a focus on fixed income and alternative credit, Pagaya offers a variety of discretionary funds to institutional investors including pension funds, insurance companies, and banks.

The company was founded in 2016 by seasoned finance and technology professionals with offices in New York and Tel Aviv.

The team manages over $3.2 billion in assets on behalf of institutional investors around the world. Pagaya just completed its financing rounds of over $100M led by a prominent sovereign wealth fund.

The Tel-Aviv site is located in Azrieli Sarona building.

We have data/research positions for all levels

Key Responsibilities:

• Design solutions for the company’s core mission using Data Science methodologies from various domains
• Take part in developing new cutting edge algorithms based on various Machine Learning techniques
• Work in a short life-cycle research and development environment
• Generate and test working hypotheses in unexplored territory

Requirements:

• Generally, we prioritize learning capability over experience, but if you have:
• Excellent programming skills in Python
• 5 years of experience in programming
• Courage to tackle hard problems
• Analytical capability to learn fast and grasp complicated concepts
• Background in data-science / research Additional qualifications
• Knowledge in data-science technologies, such as SageMaker, Dask / Spark, MLFlow / Trains, etc., Prefect / Luigi / AirFlow etc., DVC, sklearn, pyarrow, etc.
• Experience with distributed computing
• Experience with containers infrastructure, such as ECS / EKS
• Scientific BSc (preferably computer science)

Kayhut's data science and machine learning group is growing and we are seeking expert researchers with industry experience, that enjoy solving data centric challenges by inventing new algorithms and deep learning mechanisms and integrating them into data collection and processing systems, using latest tools and technologies.

A successful candidate should be well versed in the latest tools and platforms in the field of deep learning, skilled at communicating his work to others and effectively holds the data science flag in a multi-disciplinary project team.

Job requirements:

• M.Sc. or PhD in one of the exact sciences (CS, Math, EE, Physics)
• At least 4 years work experience doing research or algorithm development with machine learning and data science tools
• Experience leading data science projects from concept to customer satisfaction
• Good knowledge of Python and ML platforms
• Advantage for hands-on experience with Keras , Pytorch or Tensorflow and experience working with Spark clusters (or similar distributed computing environment).

The IBM Language and Conversation research team is looking for  an enthusiastic AI researcher who majored in Deep Learning NLP to help us craft the future of IBM products and services, and push the boundaries on the state-of-the-art in language understanding, conversational systems and language generation.

Working as part of our team means you can bring your ideas to life through the full cycle of defining the research challenge, working with real data, performing the research, and innovating to solve and implement it. You will publish your research in top conferences, deliver it, and watch it come to life in the field.
If you love to create innovative algorithms, are passionate about applying technology to real-life problems, think out-of-the-box, and are interested in joining a group of top researchers solving challenging problems – your place is with us!

Job responsibilities

• Conducting research in the area of language and conversation, advancing the state of the art, and publishing in top AI conferences
• Initiating and leading new strategic research directions through a full lifecycle of inception, validation, experiments and implementation.
• Efficiently implementing algorithms, defining data sets and benchmarks and running experiments on real data
• Constantly reviewing relevant literature to identify emerging methods or technologies and current best practices
• Following the market, products and understanding customer needs, to find innovative solutions to real customer problems.
• Developing algorithms as software components and supporting their integration into IBM products

Why join us now?
Now is your chance to influence the next generation of conversational systems and language research.

About GM

There’s never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why Work for Us

Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.

Job Description

General Motors Israel R&D Labs is an applied research center focusing on creating and evaluating innovative concepts for future vehicles. Researchers at this center conduct independent research as well as collaborative projects with colleagues at GM, with academic and industrial partners, in Israel and abroad.

The Computer Vision and Perception group is performing research and concept development for automotive-relevant perception tasks. The main research goal is to advance perception capabilities for Autonomous Driving using multi-sensor (e.g. Cameras, Lidars and Radars) data as input. The research focus is at advancing state-of-the-art deep learning algorithms in all aspects including accuracy, robustness, data dependency, computational requirements and explainability for a variety of relevant perception tasks.

About the role:

A senior researcher in the group will work closely with engineering colleagues to identify future challenges and possible solutions. He is expected to develop a wide and long-term perspective of his research field and propose a principled research agenda. He can work on either applied research focused on a specific application or more fundamental research with potential outcomes for a variety of tasks. He will also continue being a contributor to the wider research community by collaborating with academic researchers and publishing papers.

Main responsibilities

• Define, lead and execute research projects
• Consistently demonstrate innovative thinking and strong partnership.
• Work with GM engineering departments to identify future challenges and possible solutions
• Lead research projects with multiple contributors (e.g. interns, contractors) and in collaboration with academy and industry partners
• Develop proof-of-concepts demonstrating technical plausibility towards a viable product
• Maintain a high academic level measured by publications, patents and other external contributions
• Observe evolving trends, lead the generation and evaluation of innovative technologies and concepts
• Develop and maintain a global network with key universities and labs; and GM-internal network of partners and stakeholders;
• Lead technical discussions and reviews as an expert in your field, and communicate results and progress across the organization.

Additional Job Description

• PhD in Computer Science / Electrical Engineering / Related technical field
• Over 5 years of research experience in Computer Vision, Machine Learning or a related technical field.
• Strong publication record (papers / patents / reports)
• Solid programming skills – C/C++/Python/Matlab or similar
• High level of interpersonal skills: experience working effectively with team members, parallel teams, colleagues and business partners, locally and internationally
• Strong verbal and written communication skills. Ability to communicate effectively in English in a large corporate environment (involving leadership, peers, colleagues, internal customers)

About GM

There’s never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why Work for Us

Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.

Job Description

General Motors Israel (Herzelia) takes a significant part in shaping the autonomous vehicle. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.

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. The group loads data from various sources create a unified data lake and serves the appropriate data to various development groups.

What will YOU do?

• Gain deep understanding of real-world problems

• Design and implement classical and ML/DL  algorithms to deliver advanced computer vision solutions

• Own complete feature cycle – from research through solution design to implementation

• Write efficient code (python) that can run both on the vehicles and on our servers at scale

• Work in agile development methods

• Implement algorithms that impact the autonomous driving capabilities of GM vehicles

What are we looking for?

• M.Sc. / Ph.D. in Electrical Engineering / Computer Science / equivalent

• Over 3 years of research and development of computer vision / machine-learning algorithms

• Over 2 years experience in deep learning

• Over 2 years of python coding experience

• Passion for innovation

The Algorithm group at GE Healthcare Point of Care Ultrasound is expanding!

We are looking for exceptional juniors to participate in diverse R&D activities to make our scanners smarter and develop technologies that make a real difference on how critical patients are managed. In this position, you will have the opportunity to take part in the development of clinically focused algorithms, image quality evaluation, testing and improvement and general automation tasks.

Responsibilities:

• Defining and developing the next generation of Machine Learning and Computer Vision algorithms
• Developing tools for data collection and annotation optimization
• Testing, fine tuning and improvement of scanner parameters and Image Processing algorithms

Education:

• Sc. or Ph.D. in Electrical Engineering, Computer Science or Biomedical Engineering from a leading university

Experience:

• Advanced courses/project in the field of Image Processing, Computer Vision, Machine Learning or algorithm optimization.
• Programming knowledge: Good Matlab or Python proficiency, C/C++ – an advantage.
• Medical imaging experience – a strong advantage.
• Industry experience – a strong advantage.
• Deep Learning algorithms experience – a strong advantage.

Soft skills:

• Clear thinker
• Team player
• Well organized
• Persistent

Who you are

You feel comfortable with open-ended questions; you love deep-diving in a lot of data; you love brainstorming for new ideas yet have the ability to break your solution into smaller, quickly-implementable sub-parts; you are hands-on and love to own what you do, end-to-end, from research to production; most importantly, you are hungry to get things done well.

What you’ll do

• Research and develop to production environment features and solutions for API security
• Dive deep into the data; establish new ideas and directions worth looking into; identify flaws and caveats in existing models and suggest improvements.
• Work closely with product and other R&D functions in the company to constantly improve and expand our AI abilities.

Skills and experience

• MSc or Ph.D. in computer science or other quantitative fields of study
• 2+ years of experience in Machine Learning algorithms
• Familiarity /experience with NLP is an advantage
• Programming skills in java and python is a plus
• Have high work-ethics, getting the job done attitude, with the ability to work independently
• Creative-thinking yet practical
• Ability to work in a fast-paced environment
• Cyber security experience is an advantage