Machine Learning Engineer

THE COMPANY

Silvus Technologies is dedicated to one mission : connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.

Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Superbowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.

Wouldn’t you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “ Keeping Our Heroes Connected ”?

Silvus’ rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding internship that creates a pathway to a fulfilling career.

THE OPPORTUNITY

Silvus is seeking a Machine Learning Engineer with a strong background in wireless communications to join our innovative R&D team . This role will report to the R&D Director, Machine Learning and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus’ advanced MIMO radios and wireless networking systems.  The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.

This position is based at Silvus Technologies’ headquarters in the heart of vibrant  West Los Angeles, CA and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND RESPONSIBILITIES

• Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
• Analyze real-world RF datasets to extract insights and develop predictive models.
• Develop software prototypes and integrate ML algorithms with Silvus’ radio firmware and networking stack.
• Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
• Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
• Participate in performance benchmarking and iterative improvement cycles.
• Stay current with the latest Machine Learning research for wireless and embedded systems.

REQUIRED QUALIFICATIONS

PREFERRED KNOWLEDGE, SKILLS AND ABILITIES

WORKING CONDITIONS & PHYSICAL REQUIREMENTS

COMPENSATION

The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate’s experience and qualifications.

CA Pay Range

$120,000 - $160,000 USD

NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen).  Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.

All Employment is contingent upon the successful clearance of a background check.

Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and / or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.