Machine Learning Engineer

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Data Analytics, Data cleaning / Data cleansing, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Software Development, TensorFlow

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:

• Convert research ideas and proof of concepts to scalable machine learning code with one of the mainstream frameworks
• Create production grade machine learning application deployable to Analog Devices’ AI cloud infrastructure
• Create and maintain building blocks and unified machine learning framework for deployment to MLOps infrastructure
• Work closely with other engineers in Analog Devices to establish the best machine learning practices
• Stay abreast of the latest development of machine learning tools from reputable groups, and experiment and prototype with new machine learning libraries or practices 

Qualifications:

• Master’s degree or equivalent experience.
• Candidates should have a background in machine learning and AI, and experience in at least one of the following:
• create and train custom neural network models with PyTorch or TensorFlow
• optimize data pipeline and data cleaning/normalization
• software development for deployable machine learning system
• This search is open to new graduates 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