RAM Labs is the place to invent interdisciplinary and innovative cutting-edge technology within cyber security, AI/ML, mobile, and networking algorithms and systems. Our tight knit technical staff has a track record of developing high-risk, high-reward solutions sponsored by major defense programs, vital national agencies, and private industry while collaborating with university and research partners. We take care of our people, offering handpicked benefits, casual environment, schedule flexibility and the opportunity to own a unique impact within a small, creative team. We are centrally located in Mission Valley, San Diego.
BASIC FUNCTION
As an AI/ML research engineer, you will be helping develop the next generation of groundbreaking AI/ML solutions for the most urgent missions. You will work on defining system level concepts, proposing, and researching innovative ideas & algorithms, and performing sophisticated system simulations
RESPONSIBILITIES
- Research and identify state of the art AI/ML solutions
- Develop software prototypes with advanced Machine Learning capabilities
- Ability to build and maintain datasets
- Stress testing and evaluating performance of AI/ML prototypes
REQUIRED SKILLS AND EXPERIENCE
- Direct experience on solving interdisciplinary problems via AI/ML
- Knowledge in one or more of the following research directions in Neural Networks: Deep Reinforcement Learning, Federated Learning, Transformers, Transfer Learning, Online Learning, Generative Adversarial Networks, Graph Neural Networks, CNNs, RNNs etc.
- Strong programming skills in Python, experience in C/C++
- Experience with common machine learning libraries and tools: Tensorflow, PyTorch
- Ability to multi-task, be self-motivated, detail orientated and able to work on multiple objectives both independently and as part of a team in a fast-paced entrepreneurial environment
- Excellent written and oral communication skills
DESIREABLE SKILLS
- Passion for computer science and mathematics
- Contributes to research communities/efforts, including publication record in relevant fields
- Experience with HuggingFace ecosystem, including Transformers and datasets
- Exposure or familiarity to Natural Language Programming (NLP)
- Machine learning experience with Big Data
- Knowledge in Algorithms, Optimization, Probability, Statistics, Estimation/Detection Theory, and Information Theory
- Familiarity with edge, IoT and cloud computing
- Problem solving skills to assess design alternatives and perform tradeoffs to determine designs or functionality that address customer needs
EDUCATION AND EXPERIENCE
- MS in Computer Science or Electrical Engineering with 2+ years of working experience or PhD in relevant field.
US CITIZENSHIP REQUIRED / SECURITY CLEARANCE DESIRED
Please submit resume to [email protected]
