Senior Engineer – Machine Learning
Company | Analog Devices |
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Location | Boston, MA, USA, Limerick, Ireland, Burlington, MA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | PhD |
Experience Level | Senior |
Requirements
- PhD degree or equivalent experience (5+ years Industrial Experience)
- Strong background in at least one of the following areas: Algorithm Development, Machine Learning/AI, Data Analysis, Mathematical Modeling and Simulation, Signal Processing and Filtering Methods, Control Algorithms Design
- Proficiency in MATLAB/Simulink, Python (Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, etc.)
Responsibilities
- Create novel algorithms specialized for applications relevant to the Automotive Electrification and Sustainable Energy Business Unit’s strategy
- Develop software simulations and analyze performance of algorithms
- Work with other researchers and engineers, inside and outside the AES Advanced Technology Team, to connect our work with the goals of the AES business units
- Lead or contribute to prototyping efforts
- Work with domain experts to define, understand, and clarify problem statements
- Derive core mathematical expression for problems of interest
- Build proof of concepts, and test environments to validate algorithms
- Work with product development engineering teams to implement algorithms
- Work with our Customers, their customers, and Research institutions to understand issues and where we can create value
- Be a lead contributor to the technical execution of projects
- Clearly and effectively communicate the results of analysis and action plans both verbally and in writing
- Stay abreast of state-of-the-art algorithms, and research advances beyond the state of the art in areas relevant to AES
Preferred Qualifications
- Experience in battery algorithms (either traditional or ML/AI based)
- Optimization Methods
- Digital Signal Processing
- Battery Management Systems (BMS) design and control
- Experience modeling electro-chemical systems