What are the responsibilities and job description for the Machine Learning Scientist position at Harnham?
Machine Learning Scientist
Cutting-edge AI for Signal Analysis
Location: New York City
Compensation: $170,000-$210,000 Equity, Health & Retirement Benefits
This is an opportunity to be part of a team using machine learning to make sense of complex signals and enhance safety. If you’re excited by the idea of tackling challenging ML problems with real-world impact, we’d love to hear from you.
About the Company
Our client is an innovative technology company focused on revolutionizing the understanding of radio spectrum and wireless signals. By combining affordable hardware with advanced AI, they are building solutions that can detect signals others can’t—providing critical alerts for safety and defense applications. With a growing presence in both commercial and government sectors, they aim to replace costly legacy systems with cutting-edge AI-driven alternatives.
The Role
We are seeking a talented Machine Learning Scientist to drive applied research and model development for complex signal processing challenges. You will be responsible for designing, implementing, and optimizing machine learning algorithms that enhance signal analysis capabilities. This role requires a mix of research and engineering expertise, as you’ll work on both the theoretical and practical aspects of ML model development.
Key Responsibilities:
- Research, design, and implement machine learning models for RF signal analysis and classification.
- Develop novel algorithms for time-series data, deep learning, and spectral analysis.
- Work with cross-functional teams to integrate AI-driven solutions into real-world applications.
- Optimize models for real-time inference and deployment in embedded or cloud environments.
- Stay at the forefront of ML advancements, applying state-of-the-art techniques to challenging problems.
- Take ownership of end-to-end ML development, from data exploration to production-ready models.
Your Skills & Experience
- Strong background in machine learning research and model development, with a proven track record of applying ML techniques to real-world challenges.
- Experience with time-series data, deep learning, or signal processing (RF data experience is a plus, but not required).
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Familiarity with cloud computing, distributed systems, or embedded ML is a plus.
- Ability to work independently in a fast-paced, problem-solving environment.
- Advanced degree in Machine Learning, Computer Science, Electrical Engineering, or a related field (or equivalent industry experience).
Compensation & Benefits
- Base Salary: $170,000 - $210,000 (DOE)
- Equity Package
- Comprehensive Health & Retirement Benefits
How to Apply
If you are a creative problem-solver with a passion for advancing ML-driven signal processing, send your resume to Virginia using the apply link on this page.
Keywords
machine learning | artificial intelligence | signal processing | RF data | radio frequency | time-series data | deep learning | spectral analysis | real-time systems | algorithm development | applied research | distributed systems | innovative technology | embedded ML | cloud computing
Salary : $170,000 - $210,000
