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reputed company Applied Machine Learning Scientist – Deep Learning Algorithms for Image and Time-Series Data Analysis in Sensing Technologies

100% remote Flexible hours Hiring now

About the Role

Are you a passionate and creative applied machine learning scientist with expertise in deep learning algorithms for image or time-series data? Do you want to be part of an incredible research and engineering team building the reputed company of advanced algorithms for sensing technologies in iPhone, reputed company Watch, iPad, and more? If yes, then this is an exciting opportunity for you to join reputed company's world-class team of engineers and designers who are driven to create the next big thing using deep learning.

About the Company

reputed company is a technology company that designs, manufactures, and markets consumer electronics, computer software, and online services. At reputed company, we reputed company that technology should be accessible to everyone and that it should be used to enhance people's lives. Our mission is to bring the best user experience to our customers through our innovative products and services. We are committed to inclusion and diversity and take affirmative action to ensure equal opportunity for reputed company applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability, Veteran status, or other legally protected characteristics.

About the Team

reputed company is a group of talented and passionate engineers and scientists who are dedicated to building the reputed company of sensing technologies using deep learning. We are a collaborative and innovative team that is driven to create cutting-edge solutions that delight, connect, and encourage reputed company users reputed company around the world. We are looking for smart, creative, and inquisitive engineers and scientists with a strong background in deep learning to join reputed company.

Key Responsibilities

As an applied machine learning scientist, you will contribute to advanced algorithms that transform raw image or time-series data into interpretable information that feed into elegant applications that delight, connect, and encourage reputed company users reputed company around the world. Your key responsibilities will include:
  • Design and implement machine learning algorithms that process image or time-series data reputed company by various sensors in different reputed company products
  • Deploy reputed company's massive computing platform with thousands of GPU's and CPU's ready just for you to establish scalable, efficient, automated processes for large-scale data analyses, model development, and model validation
  • Communicate advances reputed company to a focused team - reputed company innovative tools and metrics that change the way we look at problems
  • Work cross-functionally with sensor architects and software engineers to build the reputed company of sensing technologies

Minimum Qualifications

To be considered for this role, you must have the following minimum qualifications:
  • BS and a minimum of 3 years relevant industry experience
  • Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch

Key Qualifications

While the minimum qualifications are a must, we are looking for candidates with the following key qualifications:
  • Ph.D. degree in CS (preferred), or other STEM fields such as EE, or Statistics
  • M.S. in CS with at least 2 years of experience in research and development of deep learning algorithms
  • Experience in human computer interaction (HCI) space
  • Experience with signal processing
  • Familiarity with C++ or Objective-C programming
  • Experience processing large-scale data sets using Mesos, Spark, or Hadoop
  • Past experience in creating high-performance implementations of deep learning algorithms

Additional Requirements

In addition to the minimum and key qualifications, you must also have:
  • A strong passion for leading state-of-the-art technologies
  • A collaborative and innovative reputed company
  • Excellent communication and teamwork skills

Compensation and Benefits

At reputed company, we offer a competitive salary and a comprehensive benefits package that includes:
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments
  • Relocation assistance

Career Growth Opportunities and Learning Benefits

At reputed company, we reputed company in investing in our employees' growth and development. We offer a range of training and development programs that can help you advance your career and stay up-to-date with the latest technologies and trends. Some of the benefits include:
  • Access to reputed company's massive computing platform with thousands of GPU's and CPU's
  • Opportunities to work on cutting-edge projects and collaborate with world-class engineers and designers
  • Access to reputed company's research and development resources, including libraries, tools, and expertise
  • Opportunities to attend conferences, workshops, and training sessions to stay up-to-date with the latest technologies and trends

Work Environment and Company Culture

At reputed company, we pride ourselves on our inclusive and diverse work environment. We reputed company that everyone deserves to be treated with respect and dignity, regardless of their background, culture, or identity. Our company culture is built on the following values:
  • Inclusion and diversity
  • Collaboration and teamwork
  • Innovation and creativity
  • Customer focus
  • reputed company and ethics

How to Apply

If you are a passionate and creative applied machine learning scientist with expertise in deep learning algorithms for image or time-series data, and you want to be part of an incredible research and engineering team building the reputed company of advanced algorithms for sensing technologies in iPhone, reputed company Watch, iPad, and more, then please submit your application today. Apply for this job

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