Benefits:

• stock options

• comprehensive benefits plan

Other Requirements:

• Proficiency in deep learning frameworks, such as PyTorch and/or JAX

Responsibilities:

• Developing and training generative AI models across modalities

• Unlocking the potential of foundational models for applications like editing and controlled generation

• On-policy and off-policy reinforcement learning for model optimization and tuning

• Innovating efficient training and inference techniques on large-scale distributed systems

• Curating and processing datasets for pretraining and fine-tuning

Education Requirements:

• Bachelor's degree in science/computing or equivalent experience as a developer in a technological unit in the army

Experience Requirements:

• 6+ years of experience as a full-stack developer

Other Requirements:

• Experience with Node.js

• Experience with React

• Familiarity with Figma

• Experience working closely with designers and product managers

• Experience with AI, NLP, or LLMs (e.g., LangChain)

• Experience developing in a cloud environment (AWS, GCP, or Azure)

Responsibilities:

• Implement both back-end and front-end web systems

• Implement pixel-perfect features

• Work closely with product and design teams

• Demonstrate the ability to work independently and lead initiatives end-to-end

• Become a vital part of the startup’s core team”, “Stay up-to-date with the latest trends in front-end and back-end technologies

Education Requirements:

• Bachelor's degree in Science, Computing, or equivalent

Experience Requirements:

• 6+ years of experience in software development

Other Requirements:

• Hands-on experience with LLMs, RAG, LangChain, AI agents or NLP

• Proficiency in Node.js and Python

• Experience working with relational and NoSQL database systems

• Experience working in cloud environments—AWS, GCP, or Azure

Responsibilities:

• Lead the design and implementation of generative AI solutions

• Continuously research emerging AI technologies and techniques

• Design infrastructure to handle large amounts of unstructured data

• Work independently and lead initiatives end-to-end

• Become a vital part of the startup’s core team”, “Work closely with product and frontend teams to define requirements and ensure seamless integration with frontend applications

Benefits:

• Hybrid/remote work

• Competitive salary

• Top-tier health benefits

• Regular on-site events

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 3 - 5 Years

Responsibilities:

• Managing the complete software development process from conception to deployment

• Developing and managing well-functioning databases and applications

• Modifying and testing changes to previously developed program

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 3+ years

Responsibilities:

• Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications

• Develop solution architecture and generate drafts for design reviews

• Assist in the installation and running of product demonstrations

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 2 years

Responsibilities:

• Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications

• Develop solution architecture and generate drafts for design reviews

• Assist in the installation and running of product demonstrations

Benefits:

• Health & Wellness

• Work/Life Balance

Responsibilities:

• Learn the technical details pertaining to how Computer Vision AI software works and what problems it solves for our customers

• Understand the requirements of customers and apply product knowledge to meet those requirements

• Treat potential customers as long-term prospects

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 4 - 6 years

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 6 - 10 years

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 6 month - 1 year

Responsibilities:

• Extraction of images from videos and selecting unique frames to annotate

• Tagging and annotating image data using label Img and providing useful information for the machine learning team using internal tools

• Extraction of image paths

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 1+ years

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in artificial intelligence, machine learning, computer science or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

Other Requirements:

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Developing ML/AI leveraging state-of-the-art methods and architectures

• Designing experiments and conducting benchmarks

• Improving performance in real-world scenarios

• Collaborating with people across teams to integrate ML/AI in production systems

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• STEM MSc with solid mathematical and statistical background

Experience Requirements:

• Experience in assuring the safe deployment of AI products

Other Requirements:

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Defining operational domains and evaluating the reliability of AI capabilities

• Developing and extending uncertainty quantification and calibration

• Understanding AI systems and evaluating robustness

• Contributing to impactful projects and collaborating with various teams

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in machine learning with a speciality in either Operational Research, Computational Engineering or Applied Mathematics

Experience Requirements:

• 3+ years of experience in operational research or related fields

Other Requirements:

• Strong experience in linear and non-linear programming

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Contributing to optimization stack by implementing, improving and extending current state of the art

• Contributing to projects and collaborating with various teams

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in artificial intelligence, machine learning, computer science or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

Other Requirements:

• Advanced knowledge of reinforcement learning

• Proven experience in benchmarking and evaluating RL-based systems

• Authored publications in top-tier journals and conferences

Responsibilities:

• Leading research and development of verification and validation for RL systems

• Conducting research to develop safety guarantees and evaluation approaches

• Advancing state-of-the-art for evaluating multi-agent RL systems

• Designing and implementing RL evaluation frameworks

• Publishing and presenting research

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in machine learning with a speciality in either robotics, reinforcement learning, or automation and control

Other Requirements:

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Contributing to reinforcement learning stack by implementing, improving and extending current state of the art

• Contributing to projects and collaborating with various teams

Benefits:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD in robotics, computer science, mathematics, engineering or a related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

• Familiarity with traditional digital signal processing

• Interest in hardware and deployment of AI models

• Excellent communication skills

• Passionate about keeping up to date with current research

Other Requirements:

• Solid software engineering skills

• Experience with machine learning software platforms

Responsibilities:

• Designing and implementing algorithms for acoustic and signal processing

• Designing, implementing, and executing experiments

• Executing real-life sea trials and experiments

• Assisting with data annotation and curation

• Collaborating with other researchers

Benefits:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD or MSc in Generative AI, Computer Vision, or Computer Graphics

Experience Requirements:

• Experience in developing AI/ML algorithms with a focus on synthetic data generation

• Experience with AI frameworks like PyTorch, NumPy, OpenCV

• Experience with software and infrastructure frameworks like Git and Unix

• Ability to communicate ideas clearly and work reliably and independently

Other Requirements:

• Proficient in Python

Responsibilities:

• Researching relevant papers in AI

• Conceptualising applications of state-of-the-art technologies

• Understanding advantages and disadvantages of algorithmic approaches

• Deriving requirements and implementing software designs

• Summarising findings in documents

Benefits:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD or Masters in robotics, control, computer science, engineering or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced control systems

• Excellent communication skills

Other Requirements:

• Solid software engineering skills

• Writing clean and well-structured code in Matlab, Python and/or languages like Rust, or modern C++

Responsibilities:

• Designing and implementing algorithms for optimization & control problems

• Designing, implementing, and executing experiments

• Collaborating with other researchers

• Communicating research agenda, progress, and results