ML Research Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Arm is the leading designer of the microprocessors that power the world’s mobile devices. Arm’s Machine Learning and Data Science (MLDS) Group in Austin, Texas is striving to enhance Arm’s hardware engineering capabilities. As a member of this group, you will develop end-to-end ML systems that reduce the engineering effort and computing time needed to create Arm’s most advanced products. Our goal is to help human engineers and ML algorithms work seamlessly together, producing results that neither could achieve alone.

What will I do in this role?

• Apply ML and other statistical methods to difficult, non-routine problems involving large, complex, and imbalanced datasets
• Build ML applications from the ground up, communicating with stakeholding engineers and managers to understand their problems and the potential impact of solving them
• Rigorously and critically assess your own work and that of colleagues to help spread ML excellence across Arm
• Present and publish your work outside Arm, as desired and appropriate
• Learn new techniques and bring that knowledge into Arm

What skills, experience and qualifications do I need?

• A master’s or Ph.D. in a quantitative or analytical field; no engineering background is required
• One to three years of research experience working end-to-end on sizable, data-intensive projects
• A solid understanding of machine learning, statistics, and analytics
• Experience using Python for data wrangling, preprocessing, modeling, and other typical MLDS activities
• The ability to communicate complex technical ideas and results clearly and persuasively

Desirable Behaviors

At Arm, we are guided by our core beliefs that reflect our rare culture and guide our decisions, defining how we work together to defy ordinary and shape extraordinary:

We not I

• Take daily responsibility to make the Global Arm community thrive
• No individual owns the right answer. Brilliance is collective
• Information is crucial, share it
• Realize that we win when we collaborate — and that everyone misses out when we don’t

Passion for progress

• Our differences are our strength. Widen and mix up your network of connections
• Difficult things can take unexpected directions. Stick with it
• Make feedback positive and expansive, not negative and narrow
• The essence of progress is that it can’t stop. Grow with it and own your own progress

Be your brilliant self

• Be quirky not egocentric
• Recognize the power in saying ‘I don’t know’
• Make trust our default position
• Hold strong opinions lightly