לוח משרות דרושים מדעים מדוייקים בתל אביב יפו

Requirements:
BSc in Computer Science, Mathematics, or a related quantitative field (MSc/PhD preferred).
4+ years of hands-on experience as a Data Scientist or AI Engineer, with a proven track record of training and deploying models at scale.
1+ years of experience leading or managing a technical team.
Expert-level proficiency in PyTorch and the usual ML stack (Python, NumPy, cikit-learn, etc.).
Demonstrated experience working with at least two of the following domains: NLP, Computer Vision, Audio processing, or Video analysis.
Experience with Cloud-native environments (GCP preferred), Docker, and Kubernetes.
Familiarity with modern LLM frameworks (Transformers, Peft, TRL, LangChain, etc.).
Experience building and maintaining distributed data pipelines for ML training.

Requirements:
Master degree or higher in Computer Science/Mathematics/Physics,/Electric engineering or equivalent is a must
Strong theoretical background in Machine Learning
An understanding of linguistics theory and principles (semantic relations, parsing methods, etc.)
2+ years experience with Python
3+ years experience with conducting NLP research (Specifically: Text) using Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)
Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.
An in-depth understanding in one or more of the following will be a plus:
Optimization
Information theory
Probability and statistics
Bayesian methods
Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS)
Experience with distributed DL
Experience with cloud ML (GCP, AWS, etc.)

Requirements:
B.Sc. with honors from a leading university and Currently pursuing (or recently completed) an M.Sc. with a thesis.
At least 6 months of hands-on Deep Learning experience (academic projects, thesis work, independent projects, or student roles).
Background in working on research or data-driven projects.
Strong drive, curiosity, and ability to deliver results.
Solid programming skills (Python is a Must).
Experience with DL frameworks (PyTorch / TensorFlow).
Experience in Computer Vision (Advantage).

Requirements:
B.Sc in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).
At least 3 years of industry experience in the development and productization of deep learning algorithms.
At least 3 years of industry experience working on major computer vision problems.
Experience using PyTorch, MxNet, TensorFlow, or similar tools
Experience with large scale data
Comfortable within an unexplored territory, independent and self-motivated.

Requirements:
M.Sc. in Computer Science / Electrical Engineering from a leading university. Ph.d - Advantage.
6+ years of hands-on experience in deep learning and computer vision in Python.
Proven ability to train and deploy neural networks with high performance and efficiency.
Full-time availability at our Tel Aviv HQ.
ADVANTAGES
Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals.
Experience with classical Computer Vision algorithms (e.g. homography, PnP, feature matching).
Experience developing optimized, real-time code for edge devices.
Attributes
ATTRIBUTES
Research-driven: Able to independently explore, evaluate, and apply cutting-edge ideas.
Creative problem solver: Able to combine classical CV with DL to craft unique, real-world solutions.
Adaptable and curious: Embrace new technologies and changing requirements.
Proactive and ownership-driven: Take initiative and drive effective results.
Team-player: Collaborate effectively with others and support shared goals.

Requirements:
M.Sc. in Computer Science / Electrical Engineering from top-notch universities.
At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python.
Experience in writing highly optimized, scalable and reliable code.
Experience in writing real-time code for a target hardware - Advantage
Strong knowledge of computer vision techniques, including object detection and semantic segmentation- Advantage.
Availability for a full-time position from our office HQ in Tel-Aviv.
Attributes:
Research skills: Ability to conduct independent research, stay up-to-date with the latest advancements in deep learning, and contribute to the development of new algorithms and models. Advantage - Publications in top-tier journals or conferences of computer vision or deep learning.
Team player: Collaborate with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
Adaptability: Openness to learning new techniques, adapting to changing requirements, and embracing new technologies.
Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.
Results-driven: we are looking for someone who is driven by results and has a strong work ethic.

Requirements:
M.Sc. in Computer Science / Electrical Engineering from top-notch universities.
At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python.
Experience in writing highly optimized, scalable and reliable code.
Experience in writing real-time code for a target hardware - Advantage
Strong knowledge of computer vision techniques, including object detection and semantic segmentation- Advantage.
Availability for a full-time position from our office HQ in Tel-Aviv.
Attributes
Research skills: Ability to conduct independent research, stay up-to-date with the latest advancements in deep learning, and contribute to the development of new algorithms and models. Advantage - Publications in top-tier journals or conferences of computer vision or deep learning.
Team player: Collaborate with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
Adaptability: Openness to learning new techniques, adapting to changing requirements, and embracing new technologies.
Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.
Results-driven: we are looking for someone who is driven by results and has a strong work ethic.

Requirements:
B.Sc. in Computer Science, Electrical Engineering, or Mathematics
Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go
Experience writing code in Agile, CI/CD-based production environments
Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
Strong communication and collaboration skills
Data-engineering, architecture, data-science roles or security domain knowledge are an advantage

Requirements:
Independence and resourcefulness, ability to come up with innovative solutions and evaluate them quickly
2+ years of hands-on industry experience in Machine Learning/Deep Learning (utilizing standard frameworks such as TensorFlow, PyTorch, Hugging Face, etc)
Experience writing production-grade code
M.Sc. in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics or equivalent research experience
Understanding of Machine Learning and Deep Learning fundamentals
Proficient in Python development
Proficient in data exploration, manipulation and visualization
Advantage for practical NLP experience.

Requirements:
* 3+ years of experience in game economy
* Bachelors Degree in Economics/Mathematics/Engineering or another quantitative field T
* Excellent Excel skills - MUST
* SQL knowledge - MUSTE
* Excellent collaboration and communication skills across multidisciplinary teams.
* Experience in real-money gaming or sweepstakes - advantage