Lead Machine Learning Engineer – Semiconductor
Hybrid- Boston, Massachusetts
$180,000 - $200,000
Harnham is partnered with a dynamic technical organization at the crossroads of semiconductor applications and machine learning. They are operating in a fast-paced innovative environment with a great amount of potential for professional growth.
THE ROLE
- Oversee the full machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and continuous improvement
- Lead the development and deployment of machine learning algorithms for semiconductor manufacturing challenges
- Mentor and lead a team of engineers and data scientists, fostering a culture of collaboration and technical excellence
YOUR EXPERIENCE
- Proven experience in the semiconductor industry or in manufacturing environments is required
- Strong understanding of machine learning algorithms, statistical modeling, and deep learning techniques
- Bachelor’s, Master’s or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related field.
- Hands-on experience with Python, TensorFlow, PyTorch, HuggingFace, Weights & Biases and/or OpenAI
- Familiarity with big data technologies (e.g., Java, C++) and cloud platforms (Azure)
THE BENEFITS
A competitive base salary of $180,000-$200,000 + benefits
HOW TO APPLY
Please register your interest by sending your resume to Grace McCarthy via the apply link on this page
KEYWORDS
Machine Learning | Semiconductor Manufacturing | AI | Electrical Engineering | Automation | MLOps | Java | C++ | Microsoft Visual Studio | Computer Engineering