Gen AI Researcher

Founded in Tel Aviv in 2016, UVeye is a computer vision and data company that creates automatic vehicle inspection systems to encourage road safety and increase transparency across the automotive industry. With key partnerships including General Motors, Volvo, and CarMax among others, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more.

Want to be an important part of setting the standard for safety in the auto industry? Check out the description below to see if you’re a great fit!

We are hiring a highly skilled and motivated Generative AI Researcher to join our talented research team.

As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.

Here’s what you’ll be doing:

Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
Optimizing existing generative AI models for improved performance, scalability, and efficiency.
Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
Contributing to the establishment of best practices and standards for generative AI development within the organization
Providing technical mentorship and guidance to junior team members

Requirements:

PhD or MSc in CS, EE, Physics, or related field
Proven publication record
Experience developing and implementing generative AI models.
Proficiency in Python and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
Experience with NLP techniques and tools, such as SpaCy, NLTK, or Hugging Face.
Strong foundations in data structures, algorithms, and software engineering principles.
Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

Attributes

Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience
Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment