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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה

We are looking for a Senior Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to lead the development of new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies such as GenAI/LLMs to enhance content discovery and search capabilities. You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Information Retrieval. We expect you to thrive in ambiguous situations, demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

Requirements:
BASIC QUALIFICATIONS:
- Masters or PhD in computer vision, machine learning, or related discipline.
- Strong experience in building production grade deep learning models for Information Retrieval, Recommendation Systems, LLM, ML NLP, or related fields.
- Excellent coding and design skills, and proficiency with programming languages such as C/C++, Java, or Python.
- Strong Machine Learning background Proven track record in technically leading and mentoring scientists.

PREFERRED QUALIFICATIONS:
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
- Experience with defining research and development practices in an applied environment.
- Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Track record in creating novel algorithms and advancing the state of the art
- Technical writing, verbal communication, and cross discipline collaboration skills.
- Served as Program Committee member in at least one top tier conference.

This position is open to all candidates.