Machine Learning Scientist

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Computer Vision (CV), Data Analytics, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Software Development

Job Description

Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena – sound, light, radio waves, voltages, currents, and motion – into high-fidelity data. Our mission is to build the Intelligent Edge, where AI transforms how we solve challenging problems by combining breakthrough algorithms, data, advanced circuits, deep application knowledge, and close customer relationships.

Analog Devices has established the AI Solutions Business Unit to deliver AI-enabled products to the broad array of markets we serve. The AI Solutions BU develops products at multiple technology stack layers, from AI-enabled software applications to deeply embedded AI algorithms in our silicon. The AI Solutions BU collaborates with our Market BUs to solve problems beyond the reach of pure semiconductor, circuit-level, or architectural innovation.

Responsibilities include:

• Create novel machine learning models, training pipeline and application of machine learning to solve key challenges relevant to Analog Devices’ business.
• Develop proof-of-concept to validate the performance and other relevant metrics of the machine learning solutions
• Lead or contribute to productization of machine learning solutions in collaboration with Analog Garage, Analog Devices’ R&D lab
• Work closely with engineers in AI Solutions BU to establish and maintain a state-of-the-art machine learning framework and best practices for Analog Devices
• Stay abreast of state-of-the-art machine learning algorithms, and research advances beyond the state of the art in areas relevant to Analog Devices.

Qualifications:

• Assumes PhD degree or equivalent experience.
• Candidates should have a strong background in machine learning and AI, and at least one of the following areas: signal processing, computer vision, communication systems, algorithm development, or software development.
• This search is open to new Ph.D.’s as well as more experienced candidates. More senior candidates should have experience in organizing and leading technical projects.

Job Req Type: Experienced

Required Travel: No

Shift Type: 1st Shift/Days