Job Summary: 

• AI algorithm research & development using Deep Learning/Machine Learning skills for data analysis and prediction
• Improve the efficiency of work, R&D, productivity improvement, and product/service by applying the latest Deep Learning and Machine Learning algorithm 
• Advanced research on Deep Learning/ Machine Learning
• Research and develop DL models from the ground up, for new use cases, based on set business objectives.
• Identifying datasets for a problem, data cleansing, analysis and vizualization.
• Evaluate different Machine Learning algorithms to solve a given problem.
• Analyse the performance of Machine learning models and perform experiments for performance improvements.
• Study the published literature in Machine Learning and evalute the efficacy of the methods described in the literature.
• Conduction of visual assessment experiments
• Statistical analysis of assessment results

Skills on Resume: 

• Machine Learning Development (Hard Skills)
• Data Analysis and Prediction (Hard Skills)
• Research and Development (Hard Skills)
• Dataset Identification and Cleansing (Hard Skills)
• Performance Analysis and Improvement (Hard Skills)
• Literature Review (Hard Skills)
• Statistical Analysis (Hard Skills)
• Problem-Solving (Soft Skills)

Job Summary: 

• Participate in different AI lab projects
• Conduct experiments and reproduce results of different papers
• Apply deep learning approaches to resolve bottlenecks of classic computer vision algorithms
• Analyze and improve existing technologies
• Explore the feasibility of new AI/ML technologies with telecom network data
• Research and implement state of the art machine learning technologies to solve real world problems
• Work in collaboration with researchers, machine learning specialists to build demo and prototypes
• Embed ML models and other data-driven algorithms in concrete application
• Apply solutions toward systems innovations on devices as well as in the cloud.
• Identify new applications that benefit from the increased power to solve complex optimization problems.

Skills on Resume:

• AI Research (Hard Skills)
• Experimentation and Analysis (Hard Skills)
• Deep Learning Application (Hard Skills)
• Feasibility Study (Hard Skills)
• Collaboration (Soft Skills)
• Problem-Solving (Soft Skills)
• Machine Learning Implementation (Hard Skills)
• Innovation and Creativity (Soft Skills)

Job Summary: 

• Fundamental machine learning research in the area of ML combinatorial optimization and its applications, using tools like graph neural networks, learned message-passing heuristics, and reinforcement learning.
• Research the relation of learning methods to classical optimization and search theory to develop new theoretical ideas to guide algorithm development.
• Research and development of cutting-edge machine learning and computer vision algorithms. 
• The research domain includes visual localization, depth estimation, SfM, self-supervised learning, cross-modality, knowledge-distillation, action recognition, object detection, object tracking, semantic segmentation, etc.
• Leverage massive large-scale datasets into impactful, life-saving AI products
• Work closely with the engineering team on planning and integrating research projects into production.
• Work closely with product and biz dev teams to understand the user and business needs and to translate them into research requirements.
• Working with the existing team to continue research, design and development of novel Deep Learning and Computer Vision methods
• Working with internal team to deploy world-class computer vision solutions to solve challenging problems
• Partnering with the C suite and Senior Leadership to build and execute the hiring strategy for the autonomy division

Skills on Resume:

• Machine Learning Research (Hard Skills)
• Combinatorial Optimization (Hard Skills)
• Graph Neural Networks (Hard Skills)
• Theoretical Development (Hard Skills)
• Communication (Soft Skills)
• Cross-functional Collaboration (Soft Skills)
• Problem-Solving (Hard Skills)
• Team Leadership (Soft Skills)

Job Summary: 

• Research and develop state of the art deep learning algorithms for audio processing and analysis
• Design and implement (in python) algorithms that satisfy challenging resource constraints
• Keep track of cutting-edge deep learning research, integrate and adopt where relevant
• Implement algorithms that impact CEVA’s Sound Technologies products
• Cooperate with fellow researchers
• Thoroughly studying various Deep Learning compression techniques
• Implementing existing network compression algorithms (pruning, matrix factorization, etc.)
• Developing new network compression algorithms to further accelerate Deep Learning algorithms on accelerator
• Collaborating with software developers

Skills on Resume:

• Deep Learning Development (Hard Skills)
• Audio Processing (Hard Skills)
• Python Programming (Hard Skills)
• Research Integration (Hard Skills)
• Team Collaboration (Soft Skills)
• Compression Techniques (Hard Skills)
• Network Compression (Hard Skills)
• Communication Skills (Soft Skills)

Job Summary: 

• As a member of a small team, design, develop and implement an innovative quantitative methodology for firm wide portfolio optimization.
• Develop methods and tools to evaluate and optimize the firm's trading strategies and trading signals
• Design and run experiments to test hypotheses about the market and/or the firm's trading signals
• Perform analyses on the firm's historical trading to improve profitability
• Take new ideas, methods, or models and implement them efficiently in code
• Deal with other quantitative tasks faced by the company
• Communicating results to team members
• Keeping track of the literature on compression techniques and Deep Learning optimizations

Skills on Resume: 

• Portfolio Optimization (Hard Skills)
• Quantitative Methodology Development (Hard Skills)
• Experiment Design and Analysis (Hard Skills)
• Trading Strategy Evaluation (Hard Skills)
• Coding and Implementation (Hard Skills)
• Communication Skills (Soft Skills)
• Research and Literature Review (Hard Skills)
• Problem-Solving (Soft Skills)