Applied Science II, Edge Technology

About the role

As an Applied Scientist, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. You will work in a fast-paced, cross-disciplinary team of researchers who are leaders in the field, tackling challenging problems and delivering solutions that leverage existing research or your own innovative thinking. You may also deliver these solutions to production in customer-facing products.

You’ll solve real-world problems that have not been addressed at scale before, positioning yourself as a disruptor, innovator, and problem solver. This role offers the opportunity to build a foundation for your career after your Master's or Ph.D. at an industry-leading company.

Responsibilities

• Develop state-of-the-art Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision algorithms using large datasets to solve real-world problems.
• Distill real requirements from challenging problems and deliver solutions that leverage academic/industrial research or your own pragmatic thinking.
• Deliver novel solutions and prototypes, potentially deploying them to production in customer-facing products.
• Collaborate with a cross-disciplinary team of researchers to drive innovation in complex industrial settings.

Requirements

• 3+ years of experience building models for business applications.
• PhD or Master’s degree in Computer Science, Computer Engineering, Machine Learning, or a related field (with 4+ years of experience for Master’s candidates).
• Experience with patents or publications at top-tier peer-reviewed conferences or journals.
• Proficiency in programming languages such as Java, C++, or Python.
• Experience in one or more of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Preferred Qualifications

• Experience using Unix/Linux.
• Professional software development experience.
• PhD in Computer Science, Machine Learning, Engineering, or related fields.
• Research experience in machine learning, deep learning, NLP, computer vision, or sensor fusion.
• Published and/or presented papers at ICASSP, ICML, NIPS, KDD, CVPR, or similar top-tier conferences.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with options for supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Flexible Spending Accounts (FSAs).
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Pay

Base salary range: $171,600 - $222,200 USD annually (location: Sunnyvale, CA). Final compensation will be determined based on experience, qualifications, and location.