Responsibilities include, but are not limited to:

• Developing and training new machine learning models and improving existing ones.

• Developing new capabilities to existing ML based software solutions, debugging and fixing bugs, and writing testcases.

• Collaborating directly with the applications engineers in the US and other geographies to provide support and address feature requests.

• Converting projects from proof-of-concept stage to production ready.

• Maintain and develop software infrastructure. Creating software simulation flows, developing physical models, and analyzing the fundamental device and process issues encountered in cutting-edge technology development.

• Collaborating directly with the experimental research, process, and design teams to define experiments and present recommendations that achieve the scaling path for the logic, memory, and analog devices in advanced-node, industry-leading products.

What we offer:

• We give you opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth.

• As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results.

• We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and much more creative perks that make Intel a Great Place to Work

• We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.

Minimum Qualifications:

• Candidate must be pursuing or recently completed an PhD in Electrical Engineering, Physics, Mechanical Engineering, Chemical Engineering, Mathematics, Computer Science and Engineering, Physics, Mathematics, or other relevant related degrees with a software focus.

• A minimum of 1 years of research/thesis experience in building machine learning / deep learning models.

• A minimum of 1 years of experience in software development through academic projects and/or research.

• Proficient in Python, C/C++, or any other similar programming languages. Familiar with backend and front-end web application development.

Preferred Qualifications:

• A strong background in data structure and algorithms, and software development.

• A strong background in statistics, linear algebra and solid-state device physics.

• 2+ years of experience in developing full-stack web applications using frameworks like Flask, Django, Angular, and React.

• 2+ years of experience in software development in high performance computing, computation modeling and numerical methods.

• Publications and/or open-source projects that demonstrate expertise in areas such as machine learning, device physics or process flow physics.

Machine Learning Engineer in Bengaluru (UID-15716)

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Job Description for Machine Learning Engineer

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