לוח משרות דרושים עבודה היברידית

Requirements:
Must have:
Experience in the commercial development of Android-applications (at least 4 years);
Knowledge of Kotlin, Compose;
Experience with Git, understanding the Gitflow principles;
Ability to implement non-standard UI elements;
Knowledge of design patterns and the ability to apply them;
Good knowledge of Android Studio, Instruments and other tools;
A desire to study and use new approaches and technologies;
Ability to work with deep learning frameworks like Tensorflow and JNI.

Requirements:
Must have:
Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
Real passion and experience in AI generative area
Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
Minimum 4 years of hands-on experience in research, engineering, or research & development
Proficiency in Python and C++
Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.

Requirements:
Must have:
3+ years of experience as a Product Analyst in a fast-paced B2C tech/mobile environment.
Advanced proficiency in SQL, experience with Python/R and BigQuery advantage.
Expertise in product analytics tools like Mixpanel or Amplitude.
Exceptional ability to transform complex data into clear, meaningful insights.
Independent and collaborative work style suited for our dynamic, rapid-growth environment.
Razor-sharp intellectual curiosity and analytical rigor.
Top-notch communication and presentation skills.
Fluency in written and spoken English.

Requirements:
Must have:
Minimum of 5+ years of experience in ASO (iOS and Android)
Advanced analytical abilities
Intermediate level in English language or higher
Creativity in problem-solving
Expertise in promoting mobile apps and increasing organic traffic through ASO tools.

Requirements:
Must have:
Relevant work experience in similar positions for at least 4 years in the mobile apps development industry;
Experience with major sources in paid social and advertising networks is welcomed;
Project management skills and advanced communication abilities;
Analytics experience;
Playable experience;
Ability to analyze statistical data, articulate risks, and set priorities correctly.

Requirements:
Must have:
+5 years experience in creative performance video ads
Experience in video editing and video production
A strong ideation ability and storytelling skills
Experience with Adobe apps, Photoshop, Illustrator, Premiere, After effects.
Strong design skills in graphic design & typography advantage
B.D in visual communication advantage
A creative mind with strong design skills
Fluent English speaker
Strong understanding of typography and hierarchies
Ability to meet deadlines in a fast-paced environment and meet the deadlines.

Requirements:
Requirements:
3+ years of professional development experience in C/C++ with multiple shipped software projects.
Strong problem-solving and debugging skills.
Experience with low level SW interfacing and interacting with HW.
BA/BS in Computer Science, Electrical Engineering or related field.

Prefered Qualifications:
Experience with networking protocols and/or data storage systems.
Experience with multithreaded design and debugging.
Experience with virtualization technologies and architecture (SRIO-V, Hyper-V).
Experience with validation of hardware, ASIC or FPGA.
Familiarity with Windows internals and WinAPI and/or Linux internals, DPDK

Requirements:
Qualifications:

Extensive experience in software development in C/C++.

Ability to design and implement complex SW projects.

Hands-on experience with kernel/driver development and debugging.

Experience in multi-threaded development.

Familiarity with cryptography: public-key/symmetric encryption, public key certificates.

Solid knowledge of virtualization technologies (SRIOV, Hypervisors).

Solid knowledge in networking (TCP/IP, networking protocols).

Good understanding of HW/SW interfaces.

BS/MS/PhD in relevant domains.

Knowledge/experience in one of these areas is a plus:

Experience with WinDbg.

Experience with Linux embedded software development.

Experience with real-time systems.

Experience with monitoring and debugging large scale production systems.

Proficiency in some scripting language (PowerShell/Python).

Experience with the Rust programming language.

Familiarity with cloud-based infrastructure and services.

Requirements:
Qualifications:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Or equivalent experience.

Preferred Qualifications:
Bachelor's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Or equivalent experience.

Requirements:
Qualifications:
Demonstrable success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications  
Relationship Building. Proven history of building deep technical relationships with senior technology executives in large or highly strategic accounts. Experience in managing various stakeholder relationships to get consensus on solution/projects  
Collaboration and Communication. Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills

Technical Experience:
Technical experience with cloud scale, building infrastructure foundations and producing architectural designs
Deep experience and expertise in cloud infrastructure and application solutions with the ability to hold detailed conversations on reliability and resiliency, scalability, security, performance optimization and cost management, container and container orchestration such as Kubernetes, observability and Infrastructure as code.
Competitive Landscape: High level understanding of capabilities on competitive cloud platforms like AWS and GCP. The technical aptitude and experience to learn new technologies, understand relevant cloud trends and keep up with modern cloud trends. 

Desired technical Experience: 
Knowledge of software development processes and basic understanding of C#, Java, NodeJS and an understanding of how best to leverage Open-Source technologies in delivering applications
Experience creating Proof of Value (PoV)/Proof of Concepts (PoC)/Demos ​that provide customers with technical confidence on cloud platforms.
Experience in helping customers optimise cloud environments, including knowledge of commercial and technical optimization approaches and FinOps best practices.
Azure Certifications or equivalent industry certifications.
Language skills: Native fluency in Hebrew and business level English is required.

Requirements:
Required Qualifications:
3+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results). AND Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or related field
OR 2+ year of data-science experience AND a Masters degree in Engineering, CS, Mathematics, Statistics or a related field.
OR a PhD degree in Engineering, CS, Mathematics, Statistics or a related field.
OR equivalent experience
Expertise in machine learning models with hands-on experience applying them in real-world scenarios.

Preferred Qualifications:
Experience working as part of geographically dispersed, diverse, and virtual teams.
Enjoy travel and are comfortable with travel up to 25% (once per quarter)
Masters degree in Engineering, Computer Science, Mathematics, Statistics, or related field.
Demonstrated ability to work with customers and collaborate across company boundaries. 
Knowledge of advancements and emerging research in foundation models, including large language models (LLMs).