FAQs
What are the core responsibilities of a Senior Engineer MLE Software at Analog Devices?
The core responsibilities include performing AI experiments and R&D in the AI/GenAI space, participating in all phases of ultra-applied research projects, testing and deploying experimental frameworks and algorithms, working with production coding counterparts to transition successful PoC code, creating and maintaining reusable functional code in machine learning frameworks, and helping with front-end, DevOps, and distributed computing tasks as needed.
What qualifications are required for this position?
Candidates must have a Master’s degree or equivalent experience, 5+ years of full-time industry experience in machine learning, a demonstrable track record of working with machine learning in production settings, a strong background in various AI technologies, hands-on experience with large models, and proficiency in Python and software development practices.
Is experience in specific AI technologies necessary for this role?
Yes, candidates should have a strong background in machine learning, deep neural networks, reinforcement learning, and a good understanding of neural network models, including transformers and multimodal models.
What programming language is primarily used for this position?
The primary programming language used for this position is Python.
Is travel required for this job?
Yes, the position requires travel, approximately 10% of the time.
Are there opportunities for development and learning in machine learning tools?
Yes, the role involves staying abreast of the latest developments in machine learning tools and experimenting with and prototyping new machine learning libraries and practices.
What type of work environment can I expect in this position?
The work environment involves participating in research and development projects, collaborating with various teams, and may require a hybrid working format with some remote capabilities.
Does Analog Devices provide equal employment opportunities?
Yes, Analog Devices is an equal opportunity employer and fosters a culture where everyone has an opportunity to succeed regardless of various legally protected statuses.
What kind of projects will I work on as a Senior Engineer MLE Software?
You will work on ultra-applied research projects that involve developing core AI technologies, including generative AI for electronics and deeply embedded AI models in silicon, across various markets and applications.
Will I be involved in both development and deployment aspects of AI technologies?
Yes, the position requires involvement in both developing algorithms and frameworks as well as transitioning successful proof-of-concept code into production.