Machine Learning Engineer at Silvus Technologies

Los Angeles, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Aerospace & Defense, BiotechnologyIndustries

Requirements

Candidates must possess an M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field, with a minimum of 3 years of experience in machine learning applied to real-world problems, or 1 year of experience with a PhD. A strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling is required, along with experience using Python ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with wireless communication concepts such as PHY/MAC layers, MIMO, OFDM, spectrum access, and SDRs is necessary, as is proficiency in MATLAB or C/C++ for signal processing algorithm development. Applicants must be U.S. Citizens and hold an active U.S. Government SECRET clearance or be able to obtain one within 12 months of hire.

Responsibilities

The Machine Learning Engineer will research, design, and implement machine learning algorithms to enhance wireless communication systems, including areas like link adaptation, interference mitigation, anomaly detection, and spectrum sensing. Responsibilities include analyzing RF datasets to derive insights and build predictive models, developing software prototypes, and integrating ML algorithms with radio firmware and networking stacks. The engineer will collaborate with cross-functional teams to define ML use cases, evaluate model impact, contribute to data pipeline design, and participate in performance benchmarking and iterative improvement cycles. Staying current with the latest Machine Learning research relevant to wireless and embedded systems is also a key duty.

Skills

Machine Learning

Data-Driven Techniques

Wireless Communications

MIMO Radios

RF Environments

Silvus Technologies

Develops advanced wireless communication systems

About Silvus Technologies

Silvus Technologies specializes in advanced wireless communication systems, focusing on mission-critical and tactical applications. Their main product line, the StreamCaster family of MANET radios, utilizes Multiple Input Multiple Output (MIMO) technology to enable high-speed wireless connectivity in challenging environments. This technology allows for the simultaneous transmission and reception of multiple data signals, enhancing communication reliability, especially in complex settings like urban areas or disaster zones. Silvus primarily serves clients in defense, public safety, and industrial sectors, providing dependable solutions that meet high performance standards. Unlike many competitors, Silvus designs, assembles, and tests its products in-house, ensuring quality control. The company's goal is to deliver reliable communication systems that operate effectively under demanding conditions.

Los Angeles, CaliforniaHeadquarters

2004Year Founded

VENTURE_UNKNOWNCompany Stage

Industrial & Manufacturing, DefenseIndustries

51-200Employees

Risks

Emerging competition from companies like Persistent Systems could erode Silvus's market share.

Reliance on government contracts exposes Silvus to financial risks if spending priorities shift.

Rapid technological advancements may outpace Silvus's current product development cycle.

Differentiation

Silvus Technologies specializes in advanced MIMO communication systems for mission-critical applications.

StreamCaster radios offer reliable connectivity in complex environments like urban areas and disaster zones.

Silvus's proprietary technology enhances wireless data throughput and interference mitigation.

Upsides

Increased demand for secure communication systems in defense presents growth opportunities for Silvus.

The rise of unmanned systems drives the need for Silvus's advanced communication technologies.

Expansion of 5G and 6G networks creates new market opportunities for Silvus.

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