Salary: $185,000 – $200,000 + Equity
Location: New York, NY
Work Arrangement: On-site, 5 days a week
Are you ready to make a significant impact in the Radio Frequency (RF) domain? My client, an innovative tech startup, is seeking a talented Machine Learning Engineer to join their team. This role offers a unique opportunity to apply your Machine Learning expertise and contribute to groundbreaking projects that aim to revolutionize the understanding of radio spectrum and wireless signals.
About the Company
My client is a forward-thinking tech startup committed to transforming the radio frequency landscape. They focus on developing cost-effective sensors that analyze signal transmissions and provide valuable statistical insights. Specializing in differentiating signals from noise, locating signal sources, and optimizing signal transmission, they are set to reshape the RF industry and serve long-term clients in wireless communications and defense sectors.
The Role
My client is seeking a skilled Machine Learning Engineer to join their expanding R&D team. In this role, you will be instrumental in deploying cutting-edge algorithms and developing advanced ML solutions for their pioneering RF projects.
Who You Are
- Experienced in applied machine learning, embedded systems, and signal processing
- Strong background in mathematics or statistics
- Proficient in spectral data analysis, experimental design, and cloud computing for cost efficiency
- Familiar with embedded Nvidia, embedded spectrum, and embedded ML technologies
- Passionate about solving new challenges and driving innovation in the RF field
- Thrives in a collaborative environment with excellent communication skills
Benefits
- Competitive annual salary of $185,000 – $200,000
- Comprehensive equity package at a fast-growing startup
- 401k, health, dental, and vision coverage
- Direct interaction with company founders and executive leadership
- Opportunity to make a real impact in an innovative startup environment
How to Apply
If you’re interested in this exciting opportunity, please send your CV to Jack Wolf via the application link provided on this page.