Develop and integrate advanced Machine Learning and Deep Neural Network technologies into core products, driving innovation in wireless solutions.
We are seeking a highly skilled and experienced Senior Data Scientist to develop and integrate advanced Machine Learning (ML) and Deep Neural Network (DNN) technologies into our core product within the Radio Access Network (RAN) domain. This pivotal role will play a key part in driving innovation across our technology stack, bringing data-driven intelligence to our wireless solutions. The ideal candidate should have excellent technical expertise in the ML domain and hands-on experience applying DNNs in real-time systems.
What You'll Do:
- Be a part of the Data Science team, focused on developing ML and DNN solutions for RAN domain.
- Develop Proof-of-Concepts (PoC) and demonstrate their advantage over standard industry algorithms.
- Lead the integration of developed algorithms into the company’s core technology.
- Collaborate closely with algorithms and engineering teams to ensure smooth implementation of ML solutions.
What You Should Have:
- Proven record of AI/ML solution development and integration in real-life systems – must.
- 3+ years of experience in ML and proficiency in DNN.
- Strong background as an ML researcher with experience delivering production-level solutions.
- Experience working with complex systems.
- Knowledge of cellular networks – big advantage.
- Experience in real-time systems – advantage.
- Proficient in data science methodologies.
- Hands-on experience with state-of-the-art ML and DNN technologies.
- Experience in communication and/or signal processing – advantage.
- Experience in code optimization for general-purpose CPUs and their architecture extensions – advantage.
- Experience with Matlab – advantage.
- Systematic problem-solving approach, coupled with a sense of ownership and drive.
- Ability to effectively communicate and collaborate in a fast-paced team environment.
- Excellent communication skills in both Hebrew and English.
Education:
- M.Sc. in Electrical Engineering, Computer Science, or Software Engineering.
- Outstanding B.Sc. graduates in these fields may also be considered.
Top Skills
Deep Neural Networks
Machine Learning
Matlab
Similar Jobs
Software
The role involves designing and optimizing Open-RAN products, defining test strategies, managing feature ownership, and debugging cellular systems.
Top Skills:
Cloud ComputingK8SLinuxNetworking
Software
The Junior Wireless System Engineer will debug and analyze issues in open RAN technology, providing feedback and improving product quality through hands-on lab setups.
Top Skills:
AmarisoftLinuxNetwork AnalyzersRadio ProtocolsRf SystemsSpectrum AnalyzersTm500UnixVirtualization PlatformsWireshark
Cloud • Software • Analytics
The Billing Business Operations Manager at NiCE is responsible for identifying and eliminating billing errors, developing processes, and managing credits and invoice corrections to enhance billing accuracy and customer experience.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories