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14/04/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
Alice is seeking a driven and compassionate leader to serve as Research Team Lead - Online Child Safety. In this vital role, you'll oversee a skilled team tackling online child exploitation, including CSAM, grooming, sextortion, trafficking and more. You’ll manage workflows, ensure exceptional delivery, and foster a culture of innovation. If you’re a motivated leader passionate about creating safer digital spaces, we encourage you to apply. Responsibilities:
* Oversee research initiatives to deliver impactful insights and address risks.
* Develop data feeds and maintain databases to track harmful trends.
* Mentor team members, fostering professional growth and collaboration.
* Streamline workflows and implement automation for greater efficiency.
* Ensure timely, accurate, and high-quality client deliverables.
* Expand knowledge resources and monitor emerging threats like GenAI.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.


Hybrid:
Yes
Requirements:
Required Skills and Experience:
* Minimum of 5 years' experience in the field of child safety, with a proven track record of addressing online harms such as CSAM, grooming, and trafficking.
* At least 5 years' experience in research, holding a minimum of a master’s degree in criminology, sociology, or a related field; a PhD is an advantage.
* At least 2 years of experience in team leadership.
* Demonstrated leadership and research expertise, including managing large-scale initiatives, analyzing data, mentoring teams, and fostering collaboration.
* Exceptional skills in analytical thinking, communication, and technical proficiency, with resilience to handle sensitive content and expertise in OSINT, automation, and database management.
This position is open to all candidates.
 
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Location: Ramat Gan
Job Type: Full Time
the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles. we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment
Requirements:
all you need is:
b.sc. or m.sc. in Computer Science, electrical engineering, or a related field
5+ years of hands-on experience in Machine Learning / deep learning research and development
strong experience with transformer-based architectures (e.g., vision transformers or similar)
strong proficiency with pytorch or tensorflow and practical experience building and optimizing deep neural networks
experience working with cloud environments (e.g., aws) - including data handling, distributed training, or running large-scale batch jobs
proven ability to work both independently and collaboratively, supporting others and leading technical investigations
excellent analytical skills, creativity, and a drive to push the limits of applied research .we change the way we drive, from preventing accidents to semi and fully autonomous vehicles. if you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are a pioneering force in the autonomous vehicles (av) industry. join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack. youll design and train cutting-edge deep learning models tailored for our custom eyeq chip, tackling end-to-end challenges and deploying real-world solutions. from novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. if youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
why us?
our team is at the forefront of our most advanced ai efforts.
as a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
if youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.
Requirements:
all you need is:
phd in Computer Science or a related discipline (exceptional msc candidates will be considered).
4+ years of hands-on experience developing deep learning algorithms in Python.
experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
proficiency in at least one deep learning framework (e.g., tensorflow, pytorch).
excellent problem-solving skills and a research-oriented mindset. advantages:
industry experience in DL or software development.
familiarity with hardware-aware model optimization.
experience with cloud platforms (e.g., aws), docker, and Linux environments.
publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.
We change the way we drive, from preventing accidents to semi and fully autonomous vehicles. if you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
This position is open to all candidates.
 
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